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1
Fadzil, Muhaimin Mohd, A. A. M. Faudzi, Dyah Ekashanti Octorina Dewi, Mohamad Amir Shamsudin, and Eko Supriyanto. "Manipulator-based Position Tracking System for Freehand 3D Ultrasound Imaging : IMU Sensor Analysis and Experiment." Abstracts of the international conference on advanced mechatronics : toward evolutionary fusion of IT and mechatronics : ICAM 2015.6 (2015): 108–9. http://dx.doi.org/10.1299/jsmeicam.2015.6.108.
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Kuo, Chia-Chun, Ho-Chiao Chuang, Kuan-Ting Teng, Hsiao-Yu Hsu, Der-Chi Tien, Chih-Jen Wu, Shiu-Chen Jeng, and Jeng-Fong Chiou. "An autotuning respiration compensation system based on ultrasound image tracking." Journal of X-Ray Science and Technology 24, no. 6 (November 22, 2016): 875–92. http://dx.doi.org/10.3233/xst-160598.
3
Jo, Hyeong Geun. "Moving object detection and tracking based on Doppler ultrasound." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 2 (August 1, 2021): 4565–69. http://dx.doi.org/10.3397/in-2021-2745.
Анотація:
Fetal health monitoring during pregnancy has become a necessary procedure. Fetal heart rate (FHR) monitoring can determine fetal development or presence of heart disease and evaluate fetal well-being. The FHR measurement uses typically an acoustic probe-based Doppler ultrasound. Doppler ultrasound method transmits a continuous wave signal to the abdomen of a pregnant woman to receive a reflected signal from the fetal heart. Periodic displacement of the heart tissue produces the Doppler effect and the phase change of the reflected wave is proportional to the velocity of the fetal heart. The reflected signal is modulated into a phase signal and the received signal is demodulated to detect the heart rate. The current clinician system consists of a single probe and requires the probe to be manipulated to the optimal position to measure FHR. The system is highly dependent on trained diagnostic experts. The movement of the pregnant woman and the fetus leads to the misaligned acoustic beam which degrades the reliability of the measurement. This work presents a detection and tracking system using a Doppler signal to compensate for the target's movement. The system is implemented by integrating multi-channel probes interfaced to a Doppler signal converter with a 2-degree of freedom (DOF) motor device. This work describes the characteristics of two key components: Doppler signals of multi-channel probes according to the direction of the acoustic beam and the algorithm with a 2-DOF tracking system.
4
Nagy, Csaba, Zalán Biró-Ambrus, and Lőrinc Márton. "Development of an Ultrasound Based Tracking System for Indoor Robot Localization." MACRo 2015 1, no. 1 (March 1, 2015): 155–62. http://dx.doi.org/10.1515/macro-2015-0015.
Анотація:
AbstractThis paper focuses on the hardware development of an indoor ultrasound based robot localization system. The problems related to the ultrasound time of flight measurements are presented and solutions are proposed related to the hardware applied for measurements and measurement synchronization. Experimental measurements were performed to analyze the applicability of the developed system and measurement methods.
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Jia, Fei, Shu Wang, and V. T. Pham. "A Hybrid Catheter Localisation Framework in Echocardiography Based on Electromagnetic Tracking and Deep Learning Segmentation." Computational Intelligence and Neuroscience 2022 (October 6, 2022): 1–9. http://dx.doi.org/10.1155/2022/2119070.
Анотація:
Interventional cardiology procedure is an important type of minimally invasive surgery that deals with the catheter-based treatment of cardiovascular diseases, such as coronary artery diseases, strokes, peripheral arterial diseases, and aortic diseases. Ultrasound imaging, also called echocardiography, is a typical imaging tool that monitors catheter puncturing. Localising a medical device accurately during cardiac interventions can help improve the procedure’s safety and reliability under ultrasound imaging. However, external device tracking and image-based tracking methods can only provide a partial solution. Thus, we proposed a hybrid framework, with the combination of both methods to localise the catheter tip target in an automatic way. The external device used was an electromagnetic tracking system from North Digital Inc (NDI), and the ultrasound image analysis was based on UNet, a deep learning network for semantic segmentation. From the external method, the tip’s location was determined precisely, and the deep learning platform segmented the exact catheter tip automatically. This novel hybrid localisation framework combines the advantages of external electromagnetic (EM) tracking and the deep learning-based image method, which offers a new solution to identify the moving medical device in low-resolution ultrasound images.
6
Shao, Marine Y., Tamara Vagg, Matthias Seibold, and Mitchell Doughty. "Towards a Low-Cost Monitor-Based Augmented Reality Training Platform for At-Home Ultrasound Skill Development." Journal of Imaging 8, no. 11 (November 9, 2022): 305. http://dx.doi.org/10.3390/jimaging8110305.
Анотація:
Ultrasound education traditionally involves theoretical and practical training on patients or on simulators; however, difficulty accessing training equipment during the COVID-19 pandemic has highlighted the need for home-based training systems. Due to the prohibitive cost of ultrasound probes, few medical students have access to the equipment required for at home training. Our proof of concept study focused on the development and assessment of the technical feasibility and training performance of an at-home training solution to teach the basics of interpreting and generating ultrasound data. The training solution relies on monitor-based augmented reality for displaying virtual content and requires only a marker printed on paper and a computer with webcam. With input webcam video, we performed body pose estimation to track the student’s limbs and used surface tracking of printed fiducials to track the position of a simulated ultrasound probe. The novelty of our work is in its combination of printed markers with marker-free body pose tracking. In a small user study, four ultrasound lecturers evaluated the training quality with a questionnaire and indicated the potential of our system. The strength of our method is that it allows students to learn the manipulation of an ultrasound probe through the simulated probe combined with the tracking system and to learn how to read ultrasounds in B-mode and Doppler mode.
7
Cadena, Rubén Machucho, Sergio de la Cruz Rodríguez, and Eduardo Bayro-Corrochano. "Tracking of Brain Tumors using Vision and Neurosonography." Applied Bionics and Biomechanics 7, no. 2 (2010): 123–30. http://dx.doi.org/10.1155/2010/496754.
Анотація:
We have developed a method to render brain tumours from endoneurosonography. We propose to track an ultrasound probe in successive endoscopic images without relying on an external optic or magnetic tracking system. The probe is tracked using two different methods: one of them based on a generalised Hough transform and the other one based on particle filters. By estimating the pose of the ultrasound probe in several contiguous images, we use conformal geometric algebra to compute the geometric transformations that yield the 3D position of the tumour, which was segmented in the ultrasound image using morphological operators. We use images from brain phantoms to evaluate the performance of the proposed methods, and our results show that they are robust.
8
Zhang, S. B., Y. M. Zhang, and R. Kovacevic. "Noncontact Ultrasonic Sensing for Seam Tracking in Arc Welding Processes." Journal of Manufacturing Science and Engineering 120, no. 3 (August 1, 1998): 600–608. http://dx.doi.org/10.1115/1.2830164.
Анотація:
A novel seam tracking technology based on high frequency ultrasound is developed in order to achieve high accuracy in weld seam identification. The transmission efficiency of the ultrasound is critical for obtaining a sufficient echo amplitude. Since the transmission efficiency is determined by the difference in impedance between the piezoelectric ceramic and air, match layers are designed to optimize the transmission efficiency by matching impedance. Since the air impedance depends on the density and velocity of the ultrasound, which both depend on the temperature, the optimization has been done for a wide bandwidth. Also, the receiving circuit is designed so that its resonance frequency matches the frequency of the ultrasound. As a result, the sensitivity of the noncontact ultrasonic sensor is improved 80-fold. By properly designing the focal length of the transducer, a high resolution ultrasound beam, 0.5 mm in diameter, is achieved. Based on the proposed sensing technology, a noncontact seam tracking system has been developed. Applications of the developed system in gas tungsten arc welding (GTAW) and CO2 gas metal arc welding (GMAW) processes show that a tracking accuracy of 0.5 mm is guaranteed despite the arc light, spatter, high temperature, joint configuration, small gap, etc.
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Alsbrooks, Kimberly, and Klaus Hoerauf. "Comparative Effectiveness, Efficiency, and ED Nurse Preference Between Two Methods of Visualization for Midline Catheter Insertion: A Pilot Study." SAGE Open Nursing 9 (January 2023): 237796082211507. http://dx.doi.org/10.1177/23779608221150721.
Анотація:
Introduction Rapid and reliable peripheral IV access is essential for many patients admitted to the emergency department (ED) to ensure administration of life-saving medications, and successful intravenous cannulation can significantly affect patient care. Objective The objective of this study was to assess the impact of a continuous needle tracking system on the accuracy, speed, and quality of ultrasound-guided peripheral venous catheter insertions. Methods A convenient sample study based on the study setting using simulated tissue was conducted with 49 US-based ED nurses to compare the insertion of a midline catheter using traditional ultrasound guidance versus an advanced needle-tracking technology along with ultrasound guidance. The purpose of this evaluation was to assess the impact of continuous needle tracking system. Informed consent was obtained from all individual participants involved in this study. All participants were made aware that the results may be published. There was no IRB approval for this study. All sources were properly disclosed within the text. Results The addition of the advanced needle-tracking technology significantly reduced total insertion attempts, insertion time, backwall penetrations, and redirects (probes to hit the target vein), while improving image clarity and confidence for participants. Conclusion The innovative needle-tracking system evaluated in this pilot study has the potential to improve emergent difficult vascular access. EDs should assess the value of this technology to potentially improve the management of difficult intravenous access patients in their settings.
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Baker, Christian, Miguel Xochicale, Fang-Yu Lin, Sunish Mathews, Francois Joubert, Dzhoshkun I. Shakir, Richard Miles, et al. "Intraoperative Needle Tip Tracking with an Integrated Fibre-Optic Ultrasound Sensor." Sensors 22, no. 23 (November 22, 2022): 9035. http://dx.doi.org/10.3390/s22239035.
Анотація:
Ultrasound is an essential tool for guidance of many minimally-invasive surgical and interventional procedures, where accurate placement of the interventional device is critical to avoid adverse events. Needle insertion procedures for anaesthesia, fetal medicine and tumour biopsy are commonly ultrasound-guided, and misplacement of the needle may lead to complications such as nerve damage, organ injury or pregnancy loss. Clear visibility of the needle tip is therefore critical, but visibility is often precluded by tissue heterogeneities or specular reflections from the needle shaft. This paper presents the in vitro and ex vivo accuracy of a new, real-time, ultrasound needle tip tracking system for guidance of fetal interventions. A fibre-optic, Fabry-Pérot interferometer hydrophone is integrated into an intraoperative needle and used to localise the needle tip within a handheld ultrasound field. While previous, related work has been based on research ultrasound systems with bespoke transmission sequences, the new system—developed under the ISO 13485 Medical Devices quality standard—operates as an adjunct to a commercial ultrasound imaging system and therefore provides the image quality expected in the clinic, superimposing a cross-hair onto the ultrasound image at the needle tip position. Tracking accuracy was determined by translating the needle tip to 356 known positions in the ultrasound field of view in a tank of water, and by comparison to manual labelling of the the position of the needle in B-mode US images during an insertion into an ex vivo phantom. In water, the mean distance between tracked and true positions was 0.7 ± 0.4 mm with a mean repeatability of 0.3 ± 0.2 mm. In the tissue phantom, the mean distance between tracked and labelled positions was 1.1 ± 0.7 mm. Tracking performance was found to be independent of needle angle. The study demonstrates the performance and clinical compatibility of ultrasound needle tracking, an essential step towards a first-in-human study.
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Shahshahani, Amirhossein, Carl Laverdiere, Sharmistha Bhadra, and Zeljko Zilic. "Ultrasound Sensors for Diaphragm Motion Tracking: An Application in Non-Invasive Respiratory Monitoring." Sensors 18, no. 8 (August 9, 2018): 2617. http://dx.doi.org/10.3390/s18082617.
Анотація:
This paper introduces a novel respiratory detection system based on diaphragm wall motion tracking using an embedded ultrasound sensory system. We assess the utility and accuracy of this method in evaluating the function of the diaphragm and its contribution to respiratory workload. The developed system is able to monitor the diaphragm wall activity when the sensor is placed in the zone of apposition (ZOA). This system allows for direct measurements with only one ultrasound PZT5 piezo transducer. The system generates pulsed ultrasound waves at 2.2 MHz and amplifies reflected echoes. An added benefit of this system is that due to its design, the respiratory signal is less subject to motion artefacts. Promising results were obtained from six subjects performing six tests per subject with an average respiration detection sensitivity and specificity of 84% and 93%, respectively. Measurements were compared to a gold standard commercial spirometer. In this study, we also compared our measurements to other conventional methods such as inertial and photoplethysmography (PPG) sensors.
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Ryken, Timothy C., Sanford L. Meeks, Vincent Traynelis, John Haller, Lionel G. Bouchet, Francis J. Bova, Edward C. Pennington, and John M. Buatti. "Ultrasonographic guidance for spinal extracranial radiosurgery: technique and application for metastatic spinal lesions." Neurosurgical Focus 11, no. 6 (December 2001): 1–6. http://dx.doi.org/10.3171/foc.2001.11.6.9.
Анотація:
Object The relatively stationary anatomy of the intracranial compartment has allowed the development of stereotactic radiosurgery as an effective treatment option for many intracranial lesions. Difficulty in accurately tracking extracranial targets has limited its development in the treatment of these lesions. The ability to track extracranial structures in real time with ultrasound images allows a system to upgrade and interface pretreatment volumetric images for extracranial applications. In this report the authors describe this technique as applied to the treatment of localized metastatic spinal disease. Methods The extracranial stereotactic system consists of an optically tracked ultrasonography unit that can be registered to a linear accelerator coordinate system. Stereotactic ultrasound images are acquired following patient positioning, based on a pretreatment computerized tomography (CT) simulation. The soft-tissue shifts between the virtual CT-based treatment plan and the actual treatment are determined. The degree of patient offset is tracked and used to correct the treatment plan. The ultrasonography-based stereotactic navigation system is accurate to within an approximate means of 1.5 mm based on testing with an absolute coordinate phantom. A radiosurgical treatment was delivered using the system for localization of a metastatic spinal lesion. Compared with the virtual CT simulation, the actual treatment plan isocenter was shifted 12.2 mm based on the stereotactic ultrasound image. The patient was treated using noncoplanar beams to a dose of 15.0 Gy to the 80% isodose shell in a single fraction. Conclusions A system for high-precision radiosurgical treatment of metastatic spinal tumors has been developed, tested, and applied clinically. Optical tracking of the ultrasonography probe provides real-time tracking of the patient anatomy and allows computation of the target displacement prior to treatment delivery. The results reported here suggest the feasibility and safety of the technique.
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Jang, Won-Suk, and Mirosław J. Skibniewski. "A WIRELESS NETWORK SYSTEM FOR AUTOMATED TRACKING OF CONSTRUCTION MATERIALS ON PROJECT SITES." JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT 14, no. 1 (March 31, 2008): 11–19. http://dx.doi.org/10.3846/1392-3730.2008.14.11-19.
Анотація:
This paper presents a new prototype framework of automated tracking and monitoring system for construction materials. Previous technologies such as RFID and GPS deployed in construction material tracking have been reviewed and signal strength‐based localisation has been examined. As an emerging network standard for industrial applications, brief specifications of ZigBee™ protocol have been described. We introduce a ZigBee‐based tracking system architecture using hybrid techniques of RF and ultrasound to improve positioning accuracy and cost benefit. Finally, feasibility analysis and application scenario have been examined to present the possible deployment framework in construction area. Santrauka Straipsnyje aprašomas naujas automatizuotos statybinių medžiagų stebėsenos sistemos modelis. Apžvelgiamos tokios technologijos, kaip RFID ir GPS, anksčiau naudotos stebint statybines medžiagas, ir nagrinėjamas signalo stiprumu pagrįstas lokalizavimas. Aprašoma tinklo standarto ZigBee™ protokolo, naudojamo pramonėje, specifikacija. Pateikiama ZigBee tipo stebėjimo sistema, naudojanti RF ir ultragarso technologiją, skirtą pozicionavimo tikslumui gerinti ir jo kainai mažinti. Be to, pateikiama sistemos galimybių analizė ir taikymo sistema, nagrinėjanti galimą šios sistemos naudojimą statyboje.
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Ishak, Sanuri, Chong Tak Yaw, Siaw Paw Koh, Sieh Kiong Tiong, Chai Phing Chen, and Talal Yusaf. "Fault Classification System for Switchgear CBM from an Ultrasound Analysis Technique Using Extreme Learning Machine." Energies 14, no. 19 (October 2, 2021): 6279. http://dx.doi.org/10.3390/en14196279.
Анотація:
Currently, the existing condition-based maintenance (CBM) diagnostic test practices for ultrasound require the tester to interpret test results manually. Different testers may give different opinions or interpretations of the detected ultrasound. It leads to wrong interpretation due to depending on tester experience. Furthermore, there is no commercially available product to standardize the interpretation of the ultrasound data. Therefore, the objective is the correct interpretation of an ultrasound, which is one of the CBM methods for medium switchgears, by using an artificial neural network (ANN), to give more accurate results when assessing their condition. Information and test results from various switchgears were gathered in order to develop the classification and severity of the corona, surface discharge, and arcing inside of the switchgear. The ultrasound data were segregated based on their defects found during maintenance. In total, 314 cases of normal, 160 cases of the corona, 149 cases of tracking, and 203 cases of arcing were collected. Noise from ultrasound data was removed before uploading it as a training process to the ANN engine, which used the extreme learning machine (ELM) model. The developed AI-based switchgear faults classification system was designed and incorporated with the feature of scalability and can be tested and replicated for other switchgear conditions. A customized graphical user interface (GUI), Ultrasound Analyzer System (UAS), was also developed, to enable users to obtain the switchgear condition or classification output via a graphical interface screen. Hence, accurate decision-making based on this analysis can be made to prioritize the urgency for the remedial works.
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Liu, Jihao, Wenyuan Sun, Yuyun Zhao, and Guoyan Zheng. "Ultrasound Probe and Hand-Eye Calibrations for Robot-Assisted Needle Biopsy." Sensors 22, no. 23 (December 3, 2022): 9465. http://dx.doi.org/10.3390/s22239465.
Анотація:
In robot-assisted ultrasound-guided needle biopsy, it is essential to conduct calibration of the ultrasound probe and to perform hand-eye calibration of the robot in order to establish a link between intra-operatively acquired ultrasound images and robot-assisted needle insertion. Based on a high-precision optical tracking system, novel methods for ultrasound probe and robot hand-eye calibration are proposed. Specifically, we first fix optically trackable markers to the ultrasound probe and to the robot, respectively. We then design a five-wire phantom to calibrate the ultrasound probe. Finally, an effective method taking advantage of steady movement of the robot but without an additional calibration frame or the need to solve the AX=XB equation is proposed for hand-eye calibration. After calibrations, our system allows for in situ definition of target lesions and aiming trajectories from intra-operatively acquired ultrasound images in order to align the robot for precise needle biopsy. Comprehensive experiments were conducted to evaluate accuracy of different components of our system as well as the overall system accuracy. Experiment results demonstrated the efficacy of the proposed methods.
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Sato, Ikuma, and Ryoichi Nakamura. "Positioning error evaluation of GPU-based 3D ultrasound surgical navigation system for moving targets by using optical tracking system." International Journal of Computer Assisted Radiology and Surgery 8, no. 3 (August 22, 2012): 379–93. http://dx.doi.org/10.1007/s11548-012-0789-z.
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Aoki, Yusuke, Kenta Kaneko, Taro Sakai, and Kohji Masuda. "A Study of Scanning the Ultrasound Probe on Body Surface and Construction of Visual Servo System Based on Echogram." Journal of Robotics and Mechatronics 22, no. 3 (June 20, 2010): 273–79. http://dx.doi.org/10.20965/jrm.2010.p0273.
Анотація:
We have developed a scanning method of the ultrasound probe on body surface to construct visual servo system based on acquired echogram by the standalone medical robot, which is developed in our laboratory to move the ultrasound probe on patient abdomen in three-dimension. The visual servo system detects local change of brightness in time series echogram, which is stabilized the position of the probe by conventional force servo system in the robot, to compensate not only periodical respiration motion but also body motion. Then we integrated control method of the visual servo with the force servo as a hybrid control in both of position and force. To confirm the feasibility of application, we experimented tracking the gallbladder in echogram by minimizing abdominal response variations.
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Peng, Bo, Shasha Luo, Zhengqiu Xu, and Jingfeng Jiang. "Accelerating 3-D GPU-based Motion Tracking for Ultrasound Strain Elastography Using Sum-Tables: Analysis and Initial Results." Applied Sciences 9, no. 10 (May 15, 2019): 1991. http://dx.doi.org/10.3390/app9101991.
Анотація:
Now, with the availability of 3-D ultrasound data, a lot of research efforts are being devoted to developing 3-D ultrasound strain elastography (USE) systems. Because 3-D motion tracking, a core component in any 3-D USE system, is computationally intensive, a lot of efforts are under way to accelerate 3-D motion tracking. In the literature, the concept of Sum-Table has been used in a serial computing environment to reduce the burden of computing signal correlation, which is the single most computationally intensive component in 3-D motion tracking. In this study, parallel programming using graphics processing units (GPU) is used in conjunction with the concept of Sum-Table to improve the computational efficiency of 3-D motion tracking. To our knowledge, sum-tables have not been used in a GPU environment for 3-D motion tracking. Our main objective here is to investigate the feasibility of using sum-table-based normalized correlation coefficient (ST-NCC) method for the above-mentioned GPU-accelerated 3-D USE. More specifically, two different implementations of ST-NCC methods proposed by Lewis et al. and Luo-Konofagou are compared against each other. During the performance comparison, the conventional method for calculating the normalized correlation coefficient (NCC) was used as the baseline. All three methods were implemented using compute unified device architecture (CUDA; Version 9.0, Nvidia Inc., CA, USA) and tested on a professional GeForce GTX TITAN X card (Nvidia Inc., CA, USA). Using 3-D ultrasound data acquired during a tissue-mimicking phantom experiment, both displacement tracking accuracy and computational efficiency were evaluated for the above-mentioned three different methods. Based on data investigated, we found that under the GPU platform, Lou-Konofaguo method can still improve the computational efficiency (17–46%), as compared to the classic NCC method implemented into the same GPU platform. However, the Lewis method does not improve the computational efficiency in some configuration or improves the computational efficiency at a lower rate (7–23%) under the GPU parallel computing environment. Comparable displacement tracking accuracy was obtained by both methods.
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Popovici, Alexandru-Tudor, Constantin-Catalin Dosoftei, and Cristina Budaciu. "Kinematics Calibration and Validation Approach Using Indoor Positioning System for an Omnidirectional Mobile Robot." Sensors 22, no. 22 (November 8, 2022): 8590. http://dx.doi.org/10.3390/s22228590.
Анотація:
Monitoring and tracking issues related to autonomous mobile robots are currently intensively debated in order to ensure a more fluent functionality in supply chain management. The interest arises from both theoretical and practical concerns about providing accurate information about the current and past position of systems involved in the logistics chain, based on specialized sensors and Global Positioning System (GPS). The localization demands are more challenging as the need to monitor the autonomous robot’s ongoing activities is more stringent indoors and benefit from accurate motion response, which requires calibration. This practical research study proposes an extended calibration approach for improving Omnidirectional Mobile Robot (OMR) motion response in the context of mechanical build imperfections (misalignment). A precise indoor positioning system is required to obtain accurate data for calculating the calibration parameters and validating the implementation response. An ultrasound-based commercial solution was considered for tracking the OMR, but the practical observed errors of the readily available position solutions requires special processing of the raw acquired measurements. The approach uses a multilateration technique based on the point-to-point distances measured between the mobile ultrasound beacon and a current subset of fixed (reference) beacons, in order to obtain an improved position estimation characterized by a confidence coefficient. Therefore, the proposed method managed to reduce the motion error by up to seven-times. Reference trajectories were generated, and robot motion response accuracy was evaluated using a Robot Operating System (ROS) node developed in Matlab-Simulink that was wireless interconnected with the other ROS nodes hosted on the robot navigation controller.
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Fujii, Tatsuya, Norihiro Koizumi, Atsushi Kayasuga, Dongjun Lee, Hiroyuki Tsukihara, Hiroyuki Fukuda, Kiyoshi Yoshinaka, et al. "Servoing Performance Enhancement via a Respiratory Organ Motion Prediction Model for a Non-Invasive Ultrasound Theragnostic System." Journal of Robotics and Mechatronics 29, no. 2 (April 20, 2017): 434–46. http://dx.doi.org/10.20965/jrm.2017.p0434.
Анотація:
[abstFig src='/00290002/15.jpg' width='300' text='Proposed method for tracking and following respiratory organ motion' ] High intensity focused ultrasound (HIFU) is potentially useful for treating stones and/or tumors. With respect to HIFU therapy, it is difficult to focus HIFU on the focal lesion due to respiratory organ motion, and this increases the risk of damaging the surrounding healthy tissues around the target focal lesion. Thus, this study proposes a method to cope with the fore-mentioned problem involving tracking and following the respiratory organ motion via a visual feedback and a prediction model for respiratory organ motion to realize highly accurate servoing performance for focal lesions. The prediction model is continuously updated based on the latest organ motion data. The results indicate that respiratory kidney motion of two healthy subjects is successfully tracked and followed with an accuracy of 0.88 mm by the proposed method and the constructed system.
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Dugan, Sarah, Sarah R. Li, Jack Masterson, Hannah Woeste, Neeraja Mahalingam, Caroline Spencer, T. Douglas Mast, Michael A. Riley, and Suzanne E. Boyce. "Tongue Part Movement Trajectories for /r/ Using Ultrasound." Perspectives of the ASHA Special Interest Groups 4, no. 6 (December 26, 2019): 1644–52. http://dx.doi.org/10.1044/2019_pers-19-00064.
Анотація:
Purpose Because it shows the movement of different parts of the tongue in real time, ultrasound biofeedback therapy is a promising technology for speech research and remediation. One limitation is the difficulty of interpreting real-time ultrasound images of tongue motion. Our image processing system, TonguePART, tracks the tongue surface and allows for the acquisition of quantitative tongue part trajectories. Method TonguePART automatically identifies the tongue contour based on ultrasound image brightness and tracks motion of the tongue root, dorsum, and blade in real time. We present tongue part trajectory data from 2 children with residual sound errors on /r/ and 2 children with typical speech, focusing on /r/ (International Phonetic Alphabet ɹ) in the phonetic context /ɑr/. We compared the tongue trajectories to magnetic resonance images of sustained vowel /ɑ/ and /r/. Results Measured trajectories show larger overall displacement and greater differentiation of tongue part movements for children with typical speech during the production of /ɑr/, compared to children with residual speech sound disorders. Conclusion TonguePART is a fast, reliable method of tracking articulatory movement of tongue parts for syllables such as /ɑr/. It is extensible to other sounds and phonetic contexts. By tracking tongue parts, clinical researchers can investigate lingual coordination. TonguePART is suitable for real-time data collection and biofeedback. Ultrasound biofeedback therapy users may make more progress using simplified biofeedback of tongue movement.
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Bald, Christin, Robert Bergholz, and Gerhard Schmidt. "Automatic Localization of an Ultrasound Probe with the Help of Magnetic Sensors." Current Directions in Biomedical Engineering 8, no. 2 (August 1, 2022): 317–20. http://dx.doi.org/10.1515/cdbme-2022-1081.
Анотація:
Abstract Ultrasound measurements are a widely used instrument in clinical practice. For later traceability of the images, the position (and orientation) of the ultrasound probe must be recorded during the measurement. Until now this has to be done manually by the physician. An easier and more accurate approach would be the automatic tracking of the ultrasound probe. This contribution shows a first approach for automatically localizing the ultrasonic head during measurement. The proposed method is based on coils surrounding the patient bed and a 3D magnetic sensor placed on the ultrasound head. Besides some pre- and postprocessing steps, the proposed localization algorithm is based on trilateration followed by a least mean squares approach for refinement of the estimation. In a first proof-of-concept measurement with fixed positions and orientations of the ultrasound head a mean accuracy of 2.85 cm and 8.94 ◦was achieved. Additionally, a measurement with a moving ultrasound head is presented to demonstrate the real-time capability of the system. Finally, future steps for improving the automatic measurement are discussed, including a graphical user interface for the physician and the use of magnetoelectric sensors for measurement.
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Li, Zihao, Shuang Song, Li Liu, and Max Q. H. Meng. "Tip Estimation Method in Phantoms for Curved Needle Using 2D Transverse Ultrasound Images." Applied Sciences 9, no. 24 (December 5, 2019): 5305. http://dx.doi.org/10.3390/app9245305.
Анотація:
Flexible needles have been widely used in minimally invasive surgeries, especially in percutaneous interventions. Among the interventions, tip position of the curved needle is very important, since it directly affects the success of the surgeries. In this paper, we present a method to estimate the tip position of a long-curved needle by using 2D transverse ultrasound images from a robotic ultrasound system. Ultrasound is first used to detect the cross section of long-flexible needle. A new imaging approach is proposed based on the selection of numbers of pixels with a higher gray level, which can directly remove the lower gray level to highlight the needle. After that, the needle shape tracking method is proposed by combining the image processing with the Kalman filter by using 3D needle positions, which develop a robust needle tracking procedure from 1 mm to 8 mm scan intervals. Shape reconstruction is then achieved using the curve fitting method. Finally, the needle tip position is estimated based on the curve fitting result. Experimental results showed that the estimation error of tip position is less than 1 mm within 4 mm scan intervals. The advantage of the proposed method is that the shape and tip position can be estimated through scanning the needle’s cross sections at intervals along the direction of needle insertion without detecting the tip.
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Khadem, Mohsen, Carlos Rossa, Ron S. Sloboda, Nawaid Usmani, and Mahdi Tavakoli. "Ultrasound-Guided Model Predictive Control of Needle Steering in Biological Tissue." Journal of Medical Robotics Research 01, no. 01 (March 2016): 1640007. http://dx.doi.org/10.1142/s2424905x16400079.
Анотація:
In needle-based medical procedures, beveled tip flexible needles are steered inside soft tissue to reach the desired target locations. In this paper, we have developed an autonomous image-guided needle steering system that enhances targeting accuracy in needle insertion while minimizing tissue trauma. The system has three main components. First is a novel mechanics-based needle steering model that predicts needle deflection and accepts needle tip rotation as an input for needle steering. The second is a needle tip tracking system that determines needle deflection from the ultrasound images. The needle steering model employs the estimated needle deflection at the present time to predict needle tip trajectory in the future steps. The third component is a nonlinear model predictive controller (NMPC) that steers the needle inside the tissue by rotating the needle beveled tip. The MPC controller calculates control decisions based on iterative optimization of the predictions of the needle steering model. To validate the proposed ultrasound-guided needle steering system, needle insertion experiments in biological tissue phantoms are performed in two cases–with and without obstacle. The results demonstrate that our needle steering strategy guides the needle to the desired targets with the maximum error of 2.85[Formula: see text]mm.
25
Konishi, Kozo, Masahiko Nakamoto, Yoshihiro Kakeji, Kazuo Tanoue, Hirofumi Kawanaka, Shohei Yamaguchi, Satoshi Ieiri, et al. "A real-time navigation system for laparoscopic surgery based on three-dimensional ultrasound using magneto-optic hybrid tracking configuration." International Journal of Computer Assisted Radiology and Surgery 2, no. 1 (April 25, 2007): 1–10. http://dx.doi.org/10.1007/s11548-007-0078-4.
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Ting, Lai-Lei, Ming-Lu Guo, Ai-Ho Liao, Sen-Ting Cheng, Hsiao-Wei Yu, Subramaninan Ramanathan, Hong Zhou, et al. "Development and evaluation of ultrasound image tracking technology based on Mask R-CNN applied to respiratory motion compensation system." Quantitative Imaging in Medicine and Surgery 13, no. 10 (October 2023): 6827–39. http://dx.doi.org/10.21037/qims-23-23.
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Juvekar, Parikshit, Erickson Torio, Wenya Linda Bi, Dhiego Chaves De Almeida Bastos, Alexandra J. Golby, and Sarah F. Frisken. "Mapping Resection Progress by Tool-Tip Tracking during Brain Tumor Surgery for Real-Time Estimation of Residual Tumor." Cancers 15, no. 3 (January 29, 2023): 825. http://dx.doi.org/10.3390/cancers15030825.
Анотація:
Surgical resection continues to be the primary initial therapeutic strategy in the treatment of patients with brain tumors. Computerized cranial neuronavigation based on preoperative imaging offers precision guidance during craniotomy and early tumor resection but progressively loses validity with brain shift. Intraoperative MRI (iMRI) and intraoperative ultrasound (iUS) can update the imaging used for guidance and navigation but are limited in terms of temporal and spatial resolution, respectively. We present a system that uses time-stamped tool-tip positions of surgical instruments to generate a map of resection progress with high spatial and temporal accuracy. We evaluate this system and present results from 80 cranial tumor resections. Regions of the preoperative tumor segmentation that are covered by the resection map (True Positive Tracking) and regions of the preoperative tumor segmentation not covered by the resection map (True Negative Tracking) are determined for each case. We compare True Negative Tracking, which estimates the residual tumor, with the actual residual tumor identified using iMRI. We discuss factors that can cause False Positive Tracking and False Negative Tracking, which underestimate and overestimate the residual tumor, respectively. Our method provides good estimates of the residual tumor when there is minimal brain shift, and line-of-sight is maintained. When these conditions are not met, surgeons report that it is still useful for identifying regions of potential residual.
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Hartman, Robin, Salavat Aglyamov, Douglas J. Fox, and Stanislav Emelianov. "Quantitative contrast-enhanced ultrasound measurement of cerebrospinal fluid flow for the diagnosis of ventricular shunt malfunction." Journal of Neurosurgery 123, no. 6 (December 2015): 1420–26. http://dx.doi.org/10.3171/2014.12.jns141014.
Анотація:
OBJECT Cerebral shunt malfunction is common but often difficult to effectively diagnose. Current methods are invasive, involve ionizing radiation, and can be costly. The authors of this study investigated the feasibility of quantitatively measuring CSF flow in a shunt catheter using contrast-enhanced ultrasound. METHODS A syringe pump was used to push a solution of gas-filled microbubbles at specific flow rates through a shunt catheter while a high-frequency ultrasound imaging system was used to collect ultrasound images for offline processing. Displacement maps and velocity profiles were generated using a speckle-tracking method based on a cross-correlation algorithm. An additional correction factor, to account for a predictable underestimation and to adjust the measured flow rates, was calculated based on the geometry of the ultrasound imaging plane and assuming a simple model of laminar flow. RESULTS The developed method was able to differentiate between physiologically relevant flow rates, including no flow and 0.006 to 0.09 ml/min, with reasonable certainty. The quantitative measurement of flow rates through the catheter using this method was determined to be in good agreement with the expected flow rate. CONCLUSIONS This study demonstrated that contrast-enhanced ultrasound has the potential to be used as a minimally invasive and cost-effective alternative method for outpatient shunt malfunction diagnosis.
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Suitor, Elizabeth L., Yichu Jin, Sofia Cerasi, Robert D. Howe, and Conor J. Walsh. "A spectral Doppler ultrasound method for estimation of skeletal muscle velocity." Journal of the Acoustical Society of America 155, no. 3_Supplement (March 1, 2024): A51. http://dx.doi.org/10.1121/10.0026767.
Анотація:
Skeletal muscle velocity is a key indicator of neuromuscular function, and monitoring its changes plays important role in tracking the progression of musculoskeletal diseases, injuries, and fatigue. However, existing methods for non-invasive estimation of skeletal muscle velocity primarily use B- mode ultrasound, often with processing methods that are time-consuming or computationally expensive, with varying accuracy based on tissue structure. Here, we propose a spectral Doppler envelope estimation method designed for skeletal muscle measurements. When compared to the modified signal noise slope intersection (MSNSI) method, our method reduces the overall mean absolute error by 13.9% and the mean absolute zero error by 82.1%. We validated our method using a portable ultrasound system on a benchtop setup that mimics the acoustic properties, measurement angles, and velocity patterns of skeletal muscles. Ex vivo and in vivo muscle velocity estimates of parallel and pennate muscles will be compared to those obtained using the MSNSI method and manual tracking of B-Mode images. Our proposed method could enable automated estimation of skeletal muscle velocities during dynamic activities in unconstrained environments, providing new insight into neuromuscular function and movement biomechanics, with potential applications in monitoring fatigue, disease progression, or injury recovery. [Work supported by the National Science Foundation.]
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Andreoni, Giuseppe, Marco Mazzola, Tiziana Atzori, Federica Vannetti, Lucia Modi, Sara D’Onofrio, and Leonardo Forzoni. "Digital Human Models for Automated Ultrasound User Interface Design." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 60, no. 1 (September 2016): 561–65. http://dx.doi.org/10.1177/1541931213601129.
Анотація:
The purpose of this theoretical paper is to describe the development of a new technology for the automated analysis and design definition of Ultrasound (US) system User Interfaces (UI) and US transducers. US examination is a real-time multi-factor approach, which involves the whole sonographer’s body; its automated evaluation, analysis and design must take into account many different factors and aspects which need to be evaluated and implemented. The proposed technology, based on Digital Human Modeling (DHM) systems, would get input from multi-factor technologies such as Motion Analysis, Eye Tracking, Superficial Electromyography, Stereo Imaging and also physical information such as temperature, ECG, respiration activity, etc., applied to different US users for different clinical applications and protocols. The utilization of DHM to manage and analyze these diverse requirements would drive the automated optimization of system design, in terms of ergonomics and workflow.
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Teixeira, C. A., M. Pastrana-Chalco, R. J. Simões, A. Pedrosa, M. A. von Krüger, A. V. Alvarenga, A. J. Fontes-Pereira, and W. C. A. Pereira. "On the Feasibility of Ultrasound Imaging Enrichment by Medium-Temperature Changes." Ultrasonic Imaging 41, no. 1 (September 21, 2018): 17–34. http://dx.doi.org/10.1177/0161734618800660.
Анотація:
We describe the concept of a new imaging modality based on the tracking and dynamic modeling of local intensity changes (ICs) observed in conventional ultrasound images collected during a medium-temperature change. We computed the pixel-by-pixel IC from averaged B-mode images that exhibited different behaviors with varying temperature resulting from changes in the speed of sound, which consequently induce changes in the backscattered energy. Moreover, for each pixel, a first-order polynomial model was adjusted to the different temperature-dependent ICs. The representation of the polynomial angular parameter in 2D pixel space was used to obtain a parametric image. The results obtained by simulations and with real B-mode images indicated that this new ultrasound imaging modality was able to enhance the contrast and highlight structures that were poorly visible or even undetected in conventional images. A temperature change of 3°C was found to be sufficient to generate appropriate images with the proposed method. In addition, if a temperature change of 6°C was considered, the thermal dose, measured as the cumulative number of equivalent minutes at 43°C (CEM43°C), was 2.4 CEM43°C, which is a value that is considered safe according to the literature. We provide a proof-of-concept of a new imaging modality that opens new opportunities for the enhancement of ultrasound images and consequently contributes to improvements in ultrasound-based diagnoses. Our approach is based on images returned by commercial ultrasound scanners. Therefore, it can be implemented in any ultrasound system and is independent of specific ultrasound hardware and software data acquisition characteristics.
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Wang, Yujian, Bin Zhao, and Zhaohui Jiang. "RSSI-Based Smooth Localization for Indoor Environment." Scientific World Journal 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/639142.
Анотація:
Radio frequency (RF) technique, for its better penetrability over traditional techniques such as infrared or ultrasound, is widely used for indoor localization and tracking. In this paper, three novel measurements, point decision accuracy, path matching error and wrong jumping ratio, are firstly defined to express the localization efficiency. Then, a novel RSSI-based smooth localization (RSL) algorithm is designed, implemented, and evaluated on the WiFi networks. The tree-based mechanism determines the current position and track of the entity by assigning the weights and accumulative weights for all collected RSSI information of reference points so as to make the localization smooth. The evaluation results indicate that the proposed algorithm brings better localization smoothness of reducing 10% path matching error and 30% wrong jumping ratio over the RADAR system.
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Albani, Stefano, Luca Mesin, Silvestro Roatta, Antonio De Luca, Alberto Giannoni, Davide Stolfo, Lorenza Biava, et al. "Inferior Vena Cava Edge Tracking Echocardiography: A Promising Tool with Applications in Multiple Clinical Settings." Diagnostics 12, no. 2 (February 7, 2022): 427. http://dx.doi.org/10.3390/diagnostics12020427.
Анотація:
Ultrasound (US)-based measurements of the inferior vena cava (IVC) diameter are widely used to estimate right atrial pressure (RAP) in a variety of clinical settings. However, the correlation with invasively measured RAP along with the reproducibility of US-based IVC measurements is modest at best. In the present manuscript, we discuss the limitations of the current technique to estimate RAP through IVC US assessment and present a new promising tool developed by our research group, the automated IVC edge-to-edge tracking system, which has the potential to improve RAP assessment by transforming the current categorical classification (low, normal, high RAP) in a continuous and precise RAP estimation technique. Finally, we critically evaluate all the clinical settings in which this new tool could improve current practice.
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Kollar, Jakub, Tomas Drizdal, Jan Vrba, David Vrba, Tomas Pokorny, Marek Novak, and Ondrej Fiser. "Microwave Catheter Navigation System for the Radiofrequency Liver Ablation." Cancers 14, no. 21 (October 27, 2022): 5296. http://dx.doi.org/10.3390/cancers14215296.
Анотація:
Thermal ablation is a well-known method used in interventional radiology to treat cancer. The treatment success is closely related to the exact catheter location in the treated area. Current navigation methods are based mostly on ultrasound or computed tomography. This work explores the possibility of tracking the catheter position during ablation treatment of hepatocellular carcinomas (HCC) using an ultra-wideband (UWB) antenna array and microwave radar imaging based on the “Delay and Sum” (DAS) algorithm. The feasibility was first numerically studied on a simple homogeneous liver model. A heterogeneous anthropomorphic 3D model of the treated region consisting of the main organs within the treated area was then used. Various standard radiofrequency ablation (RFA) catheters were placed virtually in the heterogeneous model. The location and orientation of the antenna elements of the developed imaging system and the applied frequency band were studied. Subsequently, an experimental setup consisting of a 3D printed homogeneous anthropomorphic model, eight UWB dipole antennas, and catheters was created and used in a series of measurements. The average accuracy determining the catheter position from simulated and experimental data was 3.88 ± 0.19 and 6.13 ± 0.66 mm, which are close to the accuracy of clinical navigation systems.
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Kastania, Anastasia N., and Anastasius Moumtzoglou. "Quality Implications of the Medical Applications for 4G Mobile Phones." International Journal of Reliable and Quality E-Healthcare 1, no. 1 (January 2012): 58–67. http://dx.doi.org/10.4018/ijrqeh.2012010106.
Анотація:
Existing medical applications for 4G mobile phones include Mobile MIM, MobiUS, Gyromaniac, and FaceTime. Mobile MIM (http://www.mimsoftware.com) allows viewing MRI, PET and CT using iPhones and iPads. MRI, PET, and CT images are broadcasted using software that allows measurement of both the intensity and the distance an image is transferred. MobiUS (MobiSante Inc, 2011) commercial ultrasound imaging system, used in emergencies, is smartphone-based, and cheaper than traditional ultrasound systems which allow sharing images with patients or clinicians. The Gyromaniac application (Subversus Interactive, 2011) uses the iPhone 4 new gyroscope feature to help physicians practice spatial orientation. Moreover, physicians can use iPhone 4's FaceTime (Apple Inc, 2011) video conferencing feature for patient care while other applications include a blood pressure monitor that displays the current pressure reading, simultaneously tracking previous results. The applications reshape the nature and expectations of health care delivery and emphasize active involvement of patients and enable digital proximity and self-care, thus challenging the traditional paternal model of medicine.
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Gruijthuijsen, Caspar, Benoît Rosa, Phuong Toan Tran, Jos Vander Sloten, Emmanuel Vander Poorten, and Dominiek Reynaerts. "An Automatic Registration Method for Radiation-Free Catheter Navigation Guidance." Journal of Medical Robotics Research 01, no. 03 (September 2016): 1640009. http://dx.doi.org/10.1142/s2424905x16400092.
Анотація:
Catheter navigation is typically based on fluoroscopy. This implies exposure to harmful radiation, lack of depth perception and limited soft-tissue contrast. Catheter navigation would benefit from guidance that makes better use of detailed pre-operatively acquired MR/CT images, while reducing radiation exposure and improving spatial awareness of the catheter pose and shape. A prerequisite for such guidance is an accurate registration between the catheter tracking system and the MR/CT scans. Existing registration methods are lengthy and cumbersome as they require a lot of user interaction. This forms a major obstacle for their adoption into clinical practice. This paper proposes a radiation-free registration method that minimizes the impact on the surgical workflow and avoids most user interaction. The method relies on catheters with embedded sensors that provide intra-operative data that can either belong to the vessel wall or to the lumen of the vessel. Based on the acquired surface and lumen points an accurate registration is computed automatically, with minimal user interaction. Validation of the proposed method is performed on a synthetic yet realistic aorta phantom. Input from electromagnetic tracking, force sensing, and intra-vascular ultrasound are used as intra-operative sensory data.
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Bai, Yang, Irtaza Shahid, Harshvardhan Takawale, and Nirupam Roy. "Scribe." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, no. 4 (December 19, 2023): 1–31. http://dx.doi.org/10.1145/3631411.
Анотація:
This paper presents the design and implementation of Scribe, a comprehensive voice processing and handwriting interface for voice assistants. Distinct from prior works, Scribe is a precise tracking interface that can co-exist with the voice interface on low sampling rate voice assistants. Scribe can be used for 3D free-form drawing, writing, and motion tracking for gaming. Taking handwriting as a specific application, it can also capture natural strokes and the individualized style of writing while occupying only a single frequency. The core technique includes an accurate acoustic ranging method called Cross Frequency Continuous Wave (CFCW) sonar, enabling voice assistants to use ultrasound as a ranging signal while using the regular microphone system of voice assistants as a receiver. We also design a new optimization algorithm that only requires a single frequency for time difference of arrival. Scribe prototype achieves 73 μm of median error for 1D ranging and 1.4 mm of median error in 3D tracking of an acoustic beacon using the microphone array used in voice assistants. Our implementation of an in-air handwriting interface achieves 94.1% accuracy with automatic handwriting-to-text software, similar to writing on paper (96.6%). At the same time, the error rate of voice-based user authentication only increases from 6.26% to 8.28%.
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Jerban, Saeed, Victor Barrère, Michael Andre, Eric Y. Chang, and Sameer B. Shah. "Quantitative Ultrasound Techniques Used for Peripheral Nerve Assessment." Diagnostics 13, no. 5 (March 2, 2023): 956. http://dx.doi.org/10.3390/diagnostics13050956.
Анотація:
Aim: This review article describes quantitative ultrasound (QUS) techniques and summarizes their strengths and limitations when applied to peripheral nerves. Methods: A systematic review was conducted on publications after 1990 in Google Scholar, Scopus, and PubMed databases. The search terms “peripheral nerve”, “quantitative ultrasound”, and “elastography ultrasound” were used to identify studies related to this investigation. Results: Based on this literature review, QUS investigations performed on peripheral nerves can be categorized into three main groups: (1) B-mode echogenicity measurements, which are affected by a variety of post-processing algorithms applied during image formation and in subsequent B-mode images; (2) ultrasound (US) elastography, which examines tissue stiffness or elasticity through modalities such as strain ultrasonography or shear wave elastography (SWE). With strain ultrasonography, induced tissue strain, caused by internal or external compression stimuli that distort the tissue, is measured by tracking detectable speckles in the B-mode images. In SWE, the propagation speed of shear waves, generated by externally applied mechanical vibrations or internal US “push pulse” stimuli, is measured to estimate tissue elasticity; (3) the characterization of raw backscattered ultrasound radiofrequency (RF) signals, which provide fundamental ultrasonic tissue parameters, such as the acoustic attenuation and backscattered coefficients, that reflect tissue composition and microstructural properties. Conclusions: QUS techniques allow the objective evaluation of peripheral nerves and reduce operator- or system-associated biases that can influence qualitative B-mode imaging. The application of QUS techniques to peripheral nerves, including their strengths and limitations, were described and discussed in this review to enhance clinical translation.
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Yao, Junjie. "Deep-brain imaging with 3D integrated photoacoustic tomography and ultrasound localization microscopy." Journal of the Acoustical Society of America 155, no. 3_Supplement (March 1, 2024): A53. http://dx.doi.org/10.1121/10.0026774.
Анотація:
Photoacoustic computed tomography (PACT) is a proven technology for imaging hemodynamics in deep brain of small animal models. PACT is inherently compatible with ultrasound (US) imaging, providing complementary contrast mechanisms. While PACT can quantify the brain’s oxygen saturation of hemoglobin (sO2), US imaging can probe the blood flow based on the Doppler effect. Furthermore, by tracking gas-filled microbubbles, ultrasound localization microscopy (ULM) can map the blood flow velocity with sub-diffraction spatial resolution. In this work, we present a 3D deep-brain imaging system that seamlessly integrates PACT and ULM into a single device, 3D-PAULM. Using a low ultrasound frequency of 4 MHz, 3D-PAULM is capable of imaging the whole-brain hemodynamic functions with intact scalp and skull in a totally non-invasive manner. Using 3D-PAULM, we studied the mouse brain functions with ischemic stroke. Multi-spectral PACT, US B-mode imaging, microbubble-enhanced power Doppler (PD), and ULM were performed on the same mouse brain with intrinsic image co-registration. From the multi-modality measurements, we future quantified blood perfusion, sO2, vessel density, and flow velocity of the mouse brain, showing stroke-induced ischemia, hypoxia, and reduced blood flow. We expect that 3D-PAULM can find broad applications in studying deep brain functions on small animal models.
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Takeguchi, Tomoyuki, Masahide Nishiura, Yasuhiko Abe, Hiroyuki Ohuchi, and Tetsuya Kawagishi. "Practical considerations for a method of rapid cardiac function analysis based on three-dimensional speckle tracking in a three-dimensional diagnostic ultrasound system." Journal of Medical Ultrasonics 37, no. 2 (December 29, 2009): 41–49. http://dx.doi.org/10.1007/s10396-009-0249-8.
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Tuccio, Giulia, Lisa te Winkle, Wim van Hoeve, and Libertario Demi. "Towards reduced ultrasound localization microscopy acquisition time by means of monodisperse microbubbles uncoupling." Journal of the Acoustical Society of America 155, no. 3_Supplement (March 1, 2024): A24. http://dx.doi.org/10.1121/10.0026659.
Анотація:
Ultrasound localization microscopy (ULM) unveils the microvascular structures using microbubbles (MBs) flowing in the circulatory system. As ULM relies on the precise localization and tracking of individual MBs, using high MB concentrations yields to high localization errors and ULM failure. ULM is, therefore, constrained to low MBs concentrations, leading to long acquisition times. To tackle this limitation, in this study, we propose an approach based on the injection of distinct monodisperse MBs, each characterized by a specific resonance behavior. As a proof of concept, we acquired and analyzed ultrasound data from a vascular phantom, where we singularly injected two monodisperse MB populations. Data were collected using an ULA-OP equipped with an Esaote LA533 probe. Pulses with a center frequency of 3 MHz and a bandwidth of 1MHz were utilized for imaging. MBs with diameters equal to 2.5 and 4.1 μm were injected in the phantom. MBs uncoupling was then performed exploiting the differences in the second harmonic signal intensity generated by the two MB populations. Results demonstrate the feasibility of monodisperse MBs uncoupling, enabling the use of higher microbubble concentrations for ULM, and thus, reducing acquisition time.
42
Cuesta-Vargas, Antonio I. "Development of a New Ultrasound-Based System for Tracking Motion of the Human Lumbar Spine: Reliability, Stability and Repeatability during Forward Bending Movement Trials." Ultrasound in Medicine & Biology 41, no. 7 (July 2015): 2049–56. http://dx.doi.org/10.1016/j.ultrasmedbio.2015.02.015.
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Basarab, J. A., J. R. Brethour, D. R. Zobell, and B. Graham. "Sorting feeder cattle with a system that integrates ultrasound backfat and marbling estimates with a model that maximizes feedlot profitability in value-based marketing." Canadian Journal of Animal Science 79, no. 3 (September 1, 1999): 327–34. http://dx.doi.org/10.4141/a98-094.
Анотація:
Studies were conducted to evaluate a feeder cattle sorting system for tracking future carcass merit. The Kansas State University (KSU) sorting system combines initial body weight, ultrasound backfat thickness and marbling score with economic data to project the number of days on feed that will maximize profitability. The KSU sorting system was applied, 3 to 4 mo before slaughter, on 4101 yearling steers at two large feedlots located in southern Alberta. In Feedlot 1, steers averaging 408.7 kg (SD = 45.2 kg) were randomly assigned to two treatment groups: sorted by weight (control; n = 856) and sorted by the KSU sorting system (n = 849). In Feedlot 2, steers averaging 494.4 kg (SD = 42.3 kg) were randomly assigned to two treatment groups: not sorted (control; n = 798) and sorted by the KSU sorting system (n = 1598). Whole pens were marketed when the majority of steers in the pen approached the carcass weight and grade characteristics required for optimal return. The KSU sorted steers gained 0.12 kg d−1 faster at Feedlot 1 (P = 0.043) and 0.05 kg d−1 faster at Feedlot 2 (P = 0.036) than control steers. Feed intake, feed efficiency, death loss, warm carcass weight, backfat thickness, l. dorsi area, marbling score and lean meat yield were similar between sorting systems regardless of feedlot. The KSU sorting system reduced dark cutting (B4) carcasses to zero (0.0% KSU vs. 1.3% Control; P = 0.005) and increased AAA quality grade carcasses by 40.8% (31.4% KSU vs. 22.3% Control; P = 0.001) in Feedlot 1. In Feedlot 2, the KSU sorting system reduced over-fat carcasses (Y3) by 47.4% (10.2% KSU vs. 19.4% Control; P = 0.001) and increased AA carcasses by 14.7% (52.3% KSU vs. 45.6% Control; P = 0.003). These changes resulted in the KSU sorted steers being more profitable than control steers by $27.67 head−1 in Feedlot 1 and $15.22 head−1 in Feedlot 2. The increased net return was primarily due to improved weight gains and a more desirable distribution of carcass yield and quality grades. Key words: Ultrasound, carcass uniformity, steers
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Mazzaccaro, Daniela, Matteo Giannetta, Fabiana Fancoli, Giulia Matrone, Nicoletta Curcio, Michele Conti, Paolo Righini, and Giovanni Nano. "Role of Preoperative Ultrasound Shear-Wave Elastography and Radiofrequency-Based Arterial Wall Tracking in Assessing the Vulnerability of Carotid Plaques: Preliminary Results." Diagnostics 13, no. 4 (February 20, 2023): 805. http://dx.doi.org/10.3390/diagnostics13040805.
Анотація:
We aimed at evaluating the ability of point shear-wave elastography (pSWE) and of a radiofrequency (RF) echo-tracking-based method in preoperatively assessing the vulnerability of the carotid plaque in patients undergoing carotid endarterectomy (CEA) for significant asymptomatic stenosis. All patients who underwent CEA from 03/2021 to 03/2022 performed a preoperative pSWE and an RF echo-based wall evaluation of arterial stiffness using an Esaote MyLab ultrasound system (EsaoteTM, Genova, Italy) with dedicated software. The data derived from these evaluations (Young’s modulus (YM), augmentation index (AIx), pulse-wave velocity (PWV)) were correlated with the outcome of the analysis of the plaque removed during the surgery. Data were analyzed on 63 patients (33 vulnerable and 30 stable plaques). In stable plaques, YM was significantly higher than in vulnerable plaques (49.6 + 8.1 kPa vs. 24.6 + 4.3 kPa, p = 0.009). AIx also tended to be slightly higher in stable plaques, even if it was not statistically significant (10.4 + 0.9% vs. 7.7 + 0.9%, p = 0.16). The PWV was similar (12.2 + 0.9 m/s for stable plaques vs. 10.6 + 0.5 m/s for vulnerable plaques, p = 0.16). For YM, values >34 kPa had a sensitivity of 50% and a specificity of 73.3% in predicting plaque nonvulnerability (area under the curve = 0.66). Preoperative measurement of YM by means of pSWE could be a noninvasive and easily applicable tool for assessing the preoperative risk of plaque vulnerability in asymptomatic patients who are candidates for CEA.
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Zhang, Wei, Ibrahim Oraiqat, Hao Lei, Paul L. Carson, Issam EI Naqa, and Xueding Wang. "Dual-Modality X-Ray-Induced Radiation Acoustic and Ultrasound Imaging for Real-Time Monitoring of Radiotherapy." BME Frontiers 2020 (May 26, 2020): 1–10. http://dx.doi.org/10.34133/2020/9853609.
Анотація:
Objective. The goal is to increase the precision of radiation delivery during radiotherapy by tracking the movements of the tumor and other surrounding normal tissues due to respiratory and other body motions. Introduction. This work presents the recent advancement of X-ray-induced radiation acoustic imaging (xRAI) technology and the evaluation of its feasibility for real-time monitoring of geometric and morphological misalignments of the X-ray field with respect to the target tissue by combining xRAI with established ultrasound (US) imaging, thereby improving radiotherapy tumor eradication and limiting treatment side effects. Methods. An integrated xRAI and B-mode US dual-modality system was established based on a clinic-ready research US platform. The performance of this dual-modality imaging system was evaluated via experiments on phantoms and ex vivo and in vivo rabbit liver models. Results. This system can alternatively switch between the xRAI and the US modes, with spatial resolutions of 1.1 mm and 0.37 mm, respectively. 300 times signal averaging was required for xRAI to reach a satisfactory signal-to-noise ratio, and a frame rate of 1.1 Hz was achieved with a clinical linear accelerator. The US imaging frame rate was 22 Hz, which is sufficient for real-time monitoring of the displacement of the target due to internal body motion. Conclusion. Our developed xRAI, in combination with US imaging, allows for mapping of the dose deposition in biological samples in vivo, in real-time, during radiotherapy. Impact Statement. The US-based image-guided radiotherapy system presented in this work holds great potential for personalized cancer treatment and better outcomes.
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Lin, Xiaofeng, Shoujun Zhou, Tiexiang Wen, Shenghao Jiang, Cheng Wang, and Jingtao Chen. "A novel multi-DoF surgical robotic system for brachytherapy on liver tumor: Design and control." International Journal of Computer Assisted Radiology and Surgery 16, no. 6 (May 1, 2021): 1003–14. http://dx.doi.org/10.1007/s11548-021-02380-7.
Анотація:
Abstract Purpose Radioactive seed implantation is an effective invasive treatment method for malignant liver tumors in hepatocellular carcinomas. However, challenges of the manual procedure may degrade the efficacy of the technique, such as the high accuracy requirement and radiation exposure to the surgeons. This paper aims to develop a robotic system and its control methods for assisting surgeons on the treatment. Method We present an interventional robotic system, which consists of a 5 Degree-of-Freedom (DoF) positioning robotic arm (a 3-DoF translational joint and a 2-DoF revolute joint) and a needle actuator used for needle insertion and radioactive seeds implantation. Control strategy is designed for the system to ensure the safety of the motion. In the designed framework, an artificial potential field (APF)-based motion planning and an ultrasound (US) image-based contacting methods are proposed for the control. Result Experiments were performed to evaluate position and orientation accuracy as well as validate the motion planning procedure of the system. The mean and standard deviation of targeting error is 0.69 mm and 0.33 mm, respectively. Needle placement accuracy is 1.10 mm by mean. The feasibility of the control strategy, including path planning and the contacting methods, is demonstrated by simulation and experiments based on an abdominal phantom. Conclusion This paper presents a robotic system with force and US image feedback in assisting surgeons performing brachytherapy on liver tumors. The proposed robotic system is capable of executing an accurate needle insertion task with by optical tracking. The proposed methods improve the safety of the robot’s motion and automate the process of US probe contacting under the feedback of US-image.
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Tümer, Nazlı, Aimee Kok, Frans Vos, Geert Streekstra, Christian Askeland, Gabrielle Tuijthof, and Amir Zadpoor. "Three-Dimensional Registration of Freehand-Tracked Ultrasound to CT Images of the Talocrural Joint." Sensors 18, no. 7 (July 21, 2018): 2375. http://dx.doi.org/10.3390/s18072375.
Анотація:
A rigid surface–volume registration scheme is presented in this study to register computed tomography (CT) and free-hand tracked ultrasound (US) images of the talocrural joint. Prior to registration, bone surfaces expected to be visible in US are extracted from the CT volume and bone contours in 2D US data are enhanced based on monogenic signal representation of 2D US images. A 3D monogenic signal data is reconstructed from the 2D data using the position of the US probe recorded with an optical tracking system. When registering the surface extracted from the CT scan to the monogenic signal feature volume, six transformation parameters are estimated so as to optimize the sum of monogenic signal features over the transformed surface. The robustness of the registration algorithm was tested on a dataset collected from 12 cadaveric ankles. The proposed method was used in a clinical case study to investigate the potential of US imaging for pre-operative planning of arthroscopic access to talar (osteo)chondral defects (OCDs). The results suggest that registrations with a registration error of 2 mm and less is achievable, and US has the potential to be used in assessment of an OCD’ arthroscopic accessibility, given the fact that 51% of the talar surface could be visualized.
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Şirin Özcan, Ayşe Nur, Abdullah Nabi Aslan, Özlem Ünal, Karabekir Ercan, and Orhan Küçükşahin. "A novel ultrasound-based technique to establish a correlation between disease activity and local carotid stiffness parameters in rheumatoid arthritis." Medical Ultrasonography 19, no. 3 (May 10, 2017): 288. http://dx.doi.org/10.11152/mu-949.
Анотація:
Aim: Cardiovascular (CV) disease is the reason for most mortality cases in RA and cannot be explained only by the presence of traditional CV risk factors. In this study, we aimed to investigate the relationship between local carotid stiffness (CS) parameters measured by a novel ultrasound method and inflammatory disease activity in rheumatoid arthritis (RA) patients. Material and methods: The study was conducted with 70 RA patients and 35 control subjects. According to their disease activity score (DAS-28), the RA patients were classified into active RA (n = 36; DAS-28 > 3.2) and inactive RA (n = 34; DAS-28 ≤ 3.2) groups. A novel non-invasive echo-tracking system was used to measure carotid intima-media thickness (C-IMT), diameter, pulsatile strain, distensibility, and carotid pulse wave velocity (PWV) on 128 sites of the common carotid artery. Erythrocytesedimentation rate (ESR) and C-reactive protein (CRP) levels were also determined.Results: Carotid PWV and IMT were significantly higher in the active RA patients (8.20±1.47 m/s and 6.88±1.50 mm, respectively) compared to the inactive group (6.06±1.21 mm and 7.32±1.19 m/s, respectively) and the control subjects (0.68±0.12 mm and 6.41±0.98, respectively). In all RA patients, a statistically significant correlation was found between carotid PWV and age (r=0.435, p<0.001), ESR (r=0.257, p=0.033), and DAS-28 (r=0.314, p=0.009). According to the multivariate logistic regression analysis, age, DAS-28, and ESR were independent predictors of CS.Conclusion: A strong correlation was found between disease activity and local CS parameters in patients with RA. We also demonstrated that both active and inactive RA patients showed increased PWV values compared with the control subjects. This easily applicable and previously confirmed method can be used in future to assess cardiovascular risk in broad study populations from different risk groups.
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Birlo, Manuel, Philip J. Eddie Edwards, Soojeong Yoo, Brian Dromey, Francisco Vasconcelos, Matthew J. Clarkson, and Danail Stoyanov. "CAL-Tutor: A HoloLens 2 Application for Training in Obstetric Sonography and User Motion Data Recording." Journal of Imaging 9, no. 1 (December 29, 2022): 6. http://dx.doi.org/10.3390/jimaging9010006.
Анотація:
Obstetric ultrasound (US) training teaches the relationship between foetal anatomy and the viewed US slice to enable navigation to standardised anatomical planes (head, abdomen and femur) where diagnostic measurements are taken. This process is difficult to learn, and results in considerable inter-operator variability. We propose the CAL-Tutor system for US training based on a US scanner and phantom, where a model of both the baby and the US slice are displayed to the trainee in its physical location using the HoloLens 2. The intention is that AR guidance will shorten the learning curve for US trainees and improve spatial awareness. In addition to the AR guidance, we also record many data streams to assess user motion and the learning process. The HoloLens 2 provides eye gaze, head and hand position, ARToolkit and NDI Aurora tracking gives the US probe positions and an external camera records the overall scene. These data can provide a rich source for further analysis, such as distinguishing expert from novice motion. We have demonstrated the system in a sample of engineers. Feedback suggests that the system helps novice users navigate the US probe to the standard plane. The data capture is successful and initial data visualisations show that meaningful information about user behaviour can be captured. Initial feedback is encouraging and shows improved user assessment where AR guidance is provided.
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Huang, Xinyue, Hamed Hooshangnejad, Debarghya China, Ziwei Feng, Junghoon Lee, Muyinatu A. Lediju Bell, and Kai Ding. "Ultrasound Imaging with Flexible Array Transducer for Pancreatic Cancer Radiation Therapy." Cancers 15, no. 13 (June 22, 2023): 3294. http://dx.doi.org/10.3390/cancers15133294.
Анотація:
Pancreatic cancer with less than 10% 3-year survival rate is one of deadliest cancer types and greatly benefits from enhanced radiotherapy. Organ motion monitoring helps spare the normal tissue from high radiation and, in turn, enables the dose escalation to the target that has been shown to improve the effectiveness of RT by doubling and tripling post-RT survival rate. The flexible array transducer is a novel and promising solution to address the limitation of conventional US probes. We proposed a novel shape estimation for flexible array transducer using two sequential algorithms: (i) an optical tracking-based system that uses the optical markers coordinates attached to the probe at specific positions to estimate the array shape in real-time and (ii) a fully automatic shape optimization algorithm that automatically searches for the optimal array shape that results in the highest quality reconstructed image. We conducted phantom and in vivo experiments to evaluate the estimated array shapes and the accuracy of reconstructed US images. The proposed method reconstructed US images with low full-width-at-half-maximum (FWHM) of the point scatters, correct aspect ratio of the cyst, and high-matching score with the ground truth. Our results demonstrated that the proposed methods reconstruct high-quality ultrasound images with significantly less defocusing and distortion compared with those without any correction. Specifically, the automatic optimization method reduced the array shape estimation error to less than half-wavelength of transmitted wave, resulting in a high-quality reconstructed image.