Academic literature on the topic 'Ultrasound-based tracking system'
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Journal articles on the topic "Ultrasound-based tracking system":
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Dissertations / Theses on the topic "Ultrasound-based tracking system":
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.
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
Zarader, Pierre. "Transcranial ultrasound tracking of a neurosurgical microrobot." Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS054.
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":
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.
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.
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.
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.
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.
Conference papers on the topic "Ultrasound-based tracking system":
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.