Academic literature on the topic 'Ultrasound-based tracking system'

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Journal articles on the topic "Ultrasound-based tracking system":

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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.

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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.

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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.
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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.

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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.

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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.
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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.

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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.
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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.

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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.
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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.

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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.

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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.

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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.

Dissertations / Theses on the topic "Ultrasound-based tracking system":

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Baumann, Michael. "A 3D ultrasound-based tracking system for prostate biopsy distribution quality insurance and guidance." Grenoble INPG, 2008. https://theses.hal.science/tel-00332730.

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A l'heure actuelle, la procédure clinique standard de prélèvement de biopsies de la prostate est effectuée sous contrôle échographique 2D en utilisant un protocole systématique. Il est difficile pour le clinicien de localiser les cibles de biopsie avec précision, et il est impossible de connaître la position exacte des tissus échantillonnés après l'intervention. Dans ce mémoire, nous proposons une méthode permettant de localiser la position des tissus prélevés avec une précision millimétrique par rapport à une image 3D de la prostate de référence. Elle combine des techniques de recalage rigide et élastique basées sur les intensités (recalage iconique) avec des modèles a priori des contraintes biomécaniques. Ce travail permet la mise en œuvre d'applications telles que la validation postopératoire de la distribution des biopsies et l'établissement de cartographies précises des tissus cancéreux, ce qui permettrait éventuellement un traitement localisé du cancer de la prostate. L'approche proposée permet également de guider le clinicien vers des cibles définies sur l'image de référence, provenant par exemple d'une autre modalité d'imagerie telle que l'IRM ou le SpectroIRM
The clinical standard procedure for prostate biopsy acquisition is currently performed under ultrasound control following a systematic protocol. It is difficult for the clinician to aim the biopsy targets precisely and it is impossible to know the exact sampling locations after the intervention. This thesis proposes a method for localization of the sampled tissues with a precision of about a millimeter with respect to a 3D image of the prostate that serves as reference. The approach combines rigid and elastic registration techniques driven by cost functions defined on the image intensities with a priori models of the bio-mechanical constraints of the acquisition process. This work makes it possible to implement applications like post-interventional validation of the biopsy distribution and precise cancer distribution maps, which could make focal prostate cancer treatment possible. The proposed approach also allows to guide the clinician towards targets defined in the reference image, these targets might originate for instance from a different imaging modality like MRI or SpectroMRI
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Zarader, Pierre. "Transcranial ultrasound tracking of a neurosurgical microrobot." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS054.

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Dans l'objectif de traiter les tumeurs cérébrales difficilement accessibles avec les outils chirugicaux actuels, Robeauté développe un microrobot innovant dans l'objectif de naviguer dans les zones cérébrales profondes avec un minimum d'invasivité. L'objectif de cette thèse a été de développer et de valider un système de suivi ultrasonore transcrânien du microrobot afin de pouvoir implémenter des commandes robotiques et garantir ainsi la sûreté et l'efficacité de l'intervention.L'approche proposée consiste à placer trois émetteurs ultrasonores sur la tête du patient, et à embarquer un récepteur ultrasonore sur le microrobot. En connaissant la vitesse du son dans les tissus biologiques et l'épaisseur de crâne traversée, il est possible d'estimer les distances entre les émetteurs et le récepteur par mesure de temps de vol, et d'en déduire sa position 3D par trilatération. Une preuve de concept a d'abord été réalisée à travers un modèle de crâne d'épaisseur constante, démontrant une précision de localisation submillimétrique. Pour se placer dans un contexte clinique, le système a ensuite été évalué à travers un modèle de calvaria dont l'épaisseur et la vitesse du son en face de chaque émetteur ont été déduites par tomodensitométrie. Le système a démontré une précision de localisation moyenne de 1.5 mm, soit une dégradation de la précision d'1 mm comparée à celle du suivi à travers le modèle de crâne d'épaisseur constante, expliquée par l'incertitude apportée par l'épaisseur hétérogène de la calvaria. Enfin, trois tests pré-cliniques, sans possibilité d'évaluer l'erreur de localisation, ont été réalisés : (i) un test post-mortem sur un humain, (ii) un test post-mortem sur une brebis, (iii) et un test in vivo sur une brebis.De futures pistes d'amélioration du système de suivi ont été proposées, telles que (i) l'utilisation de simulation de propagation ultrasonore transcrânienne basée sur une tomodensitométrie pour la prise en compte des hétérogénéités du crâne, (ii) la miniaturisation du capteur ultrasonore embarqué sur le microrobot, (iii) ainsi que l'intégration d'une imagerie ultrasonore pour la visualisation de la vascularisation locale autour du microrobot, permettant ainsi de réduire le risque de lésions et de détecter d'éventuelles angiogenèses pathologiques
With the aim of treating brain tumors difficult to access with current surgical tools, Robeauté is developing an innovative microrobot to navigate deep brain areas with minimal invasiveness. The aim of this thesis was to develop and validate a transcranial ultrasound-based tracking system for the microrobot, in order to be able to implement robotic commands and thus guarantee both the safety and the effectiveness of the intervention.The proposed approach consists in positioning three ultrasound emitters on the patient's head, and embedding an ultrasound receiver on the microrobot. Knowing the speed of sound in biological tissue and the skull thickness crossed, it is possible to estimate the distances from the emitters to the receiver by time-of-flight measurements, and to deduce its 3D position by trilateration. A proof of concept was first carried out using a skull phantom of constant thickness, demonstrating submillimeter localization accuracy. The system was then evaluated using a calvaria phantom whose thickness and speed of sound in front of each emitter were deduced by CT scan. The system demonstrated an mean localization accuracy of 1.5 mm, i.e. a degradation in accuracy of 1 mm compared with the tracking through the skull phantom of constant thickness, explained by the uncertainty brought by the heterogeneous shape of the calvaria. Finally, three preclinical tests, without the possibility of assessing localization error, were carried out: (i) a post-mortem test on a human, (ii) a post-mortem test on a ewe, (iii) and an in vivo test on a ewe.Further improvements to the tracking system have been proposed, such as (i) the use of CT scan-based transcranial ultrasound propagation simulation to take account of skull heterogeneities, (ii) the miniaturization of the ultrasound sensor embedded in the microrobot, (iii) as well as the integration of ultrasound imaging to visualize local vascularization around the microrobot, thereby reducing the risk of lesions and detecting possible pathological angiogenesis

Book chapters on the topic "Ultrasound-based tracking system":

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Niu, Kenan, Victor Sluiter, Jasper Homminga, André Sprengers, and Nico Verdonschot. "A Novel Ultrasound-Based Lower Extremity Motion Tracking System." In Advances in Experimental Medicine and Biology, 131–42. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1396-7_11.

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De Luca, Valeria, Michael Tschannen, Gábor Székely, and Christine Tanner. "A Learning-Based Approach for Fast and Robust Vessel Tracking in Long Ultrasound Sequences." In Advanced Information Systems Engineering, 518–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40811-3_65.

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Asselin, Mark, Tamas Ungi, Andras Lasso, and Gabor Fichtinger. "A Training Tool for Ultrasound-Guided Central Line Insertion with Webcam-Based Position Tracking." In Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 12–20. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01045-4_2.

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Lou, E., D. Nguyen, D. Hill, and J. Raso. "Validation of a novel handheld 3D ultrasound system for imaging scoliosis – phantom study." In Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210444.

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Use of 3D ultrasound (US) scanners to detect and monitor scoliosis have been validated. The Cobb angle, axial vertebral rotation, spinal flexibility, curvatures in the sagittal profile and the Cobb angle on the plane of maximum curvature (PMC) can be measured from coronal, transverse and sagittal planes of ultrasound images. However, traditional 3D ultrasound scanners are relatively bulky and expensive. 2D US handheld and low-cost scanners are widely available. To adapt the 2D scanners for scoliosis applications, a position and orientation system is integrated with the scanner. The objective of this study was to validate a newly developed 3D handheld US system to image the spine. The wireless handheld US scanner (C3-HD, Clarius, Canada) was selected because of its high resolution and availability of raw data. A wireless tracking system based on electromagnetic (G4 system, Polhemus, USA) was integrated with the Clarius ultrasound. During scanning, the ultrasound information was synchronized with the scanner’s position and orientation by using custom developed software. Both information were streamed wirelessly to a laptop. Custom software reconstructed and displayed the 3D spinal image in real-time. A single 3D printed vertebra, two full plastic spine phantoms from T1-T12 vertebrae and a non-scoliotic volunteer were scanned. The 3D reconstruction process of a spine image was less than 3 seconds. The dimensional and the angle errors were 1 mm and 3°, respectively. This study demonstrated that a low-cost ($11,000 USD) handheld 3D ultrasound system was developed and validated. Clinical trials on subjects attending will be the next step.
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Binder, Thomas. "Technical equipment for echocardiography." In ESC CardioMed, edited by Frank Flachskampf, 422–25. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0084.

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Advances in ultrasound technology are shaping the way we apply echocardiography today. The industry has now developed a vast array of scanners that are targeted to different clinical requirements, budgets, and applications. In general, they can be categorized into high-end, mid-range, portable, and handheld scanners. Aside from image quality, much emphasis is placed on ergonomics, the user interface, and the patient data archiving system, which are all important to optimize workflow. Phased array transducers are used in echocardiography. Much of the signal processing (i.e. beam forming) occurs within the transducer. Further developments in computer processing and transducer technology have also led to the development of three-dimensional (3D) matrix array probes. Other transducer types necessary for a fully functional echocardiography laboratory include the pencil probe (for continuous wave spectral Doppler recordings) and the transoesophageal probe, which now also permits live 3D transoesophageal echocardiography scanning. Many of the functionalities of modern scanners are ‘software based’, where packages for specific applications such as stress echocardiography, speckle tracking, or advanced 3D image analysis can be integrated into the systems.

Conference papers on the topic "Ultrasound-based tracking system":

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Smith, Wendy L., and Aaron Fenster. "Analysis of an image-based transducer tracking system for 3D ultrasound." In Medical Imaging 2003, edited by William F. Walker and Michael F. Insana. SPIE, 2003. http://dx.doi.org/10.1117/12.479965.

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Liu, Guiqing, Jianru Liang, and Kai Yuan. "Designed of Automatic Frequency Tracking System for Ultrasound Based on FPGA." In the 2019 International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3366194.3366212.

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Cai, Qianqian, Chang Peng, Juan C. Prieto, Alan J. Rosenbaum, Jeffrey S. A. Stringer, and Xiaoning Jiang. "A Low-Cost Camera-Based Ultrasound Probe Tracking System: Design and Prototype." In 2019 IEEE International Ultrasonics Symposium (IUS). IEEE, 2019. http://dx.doi.org/10.1109/ultsym.2019.8925631.

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Baba, Mohammad M., Otmane Ait Mohamed, Falah Awwad, and Mohammad I. Daoud. "A low-cost camera-based transducer tracking system for freehand three-dimensional ultrasound." In 2016 14th IEEE International New Circuits and Systems Conference (NEWCAS). IEEE, 2016. http://dx.doi.org/10.1109/newcas.2016.7604825.

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Avilés, Esteban, Stefano E. Romero, and Benjamin Castaneda. "An Ultrasound Transducer Tracking System Enhanced by Artificial Intelligence: A Camera-Based Approach." In 2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM). IEEE, 2023. http://dx.doi.org/10.1109/sipaim56729.2023.10373436.

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Lok, U.-Wai, Chengwu Huang, Shanshan Tang, Ping Gong, Fabrice Lucien, Yohan Kim, Pengfei Song, and Shigao Chen. "Three-dimensional Super-Resolution Ultrasound Microvessel Imaging with Bipartite Graph-based Microbubble Tracking using a Verasonics 256-channel Ultrasound System." In 2019 IEEE International Ultrasonics Symposium (IUS). IEEE, 2019. http://dx.doi.org/10.1109/ultsym.2019.8925908.

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Ranger, Bryan J., Micha Feigin, Hugh M. Herr, and Brian W. Anthony. "Image registration in a tomographic ultrasound system: Comparison between camera-tracking and image-based motion compensation." In 2017 IEEE International Ultrasonics Symposium (IUS). IEEE, 2017. http://dx.doi.org/10.1109/ultsym.2017.8092519.

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Ranger, Bryan, Micha Feigin, Hugh Herr, and Brian Anthony. "Image registration in a tomographic limb ultrasound system: Comparison between camera-tracking and image-based motion compensation." In 2017 IEEE International Ultrasonics Symposium (IUS). IEEE, 2017. http://dx.doi.org/10.1109/ultsym.2017.8092541.

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Park, Kyusic, and Deukhee Lee. "Image-guided handheld HIFU treatment system based on real-time tracking of ultrasound imaging probe and HIFU probe." In 2013 13th International Conference on Control, Automaton and Systems (ICCAS). IEEE, 2013. http://dx.doi.org/10.1109/iccas.2013.6704025.

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Rabiei, Mahsa, and Bardia Konh. "A Portable Robot to Perform Prostate Brachytherapy with Active Needle Steering and Robot-Assisted Ultrasound Tracking." In 2022 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/dmd2022-1014.

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Abstract Brachytherapy is an internal radiation therapy method for prostate cancer that involves placement of radioactive seeds close to the cancerous cells. Robotic needle insertion systems have been proposed in the past to help physicians to improve outcomes of brachytherapy. This work presents design and development of a portable robotic brachytherapy system to operate a tendon-driven active needle based on physician’s input. The system enables manual positioning of the needle to choose appropriate puncture positions as well as robotic manipulation mechanisms for needle insertion and bending. The system also allows for automatic movement of an ultrasound probe to visualize the needle tip in a needle insertion task in real time.

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