Literatura académica sobre el tema "Ultrasound-based tracking system"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "Ultrasound-based tracking system".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "Ultrasound-based tracking system"
Fadzil, Muhaimin Mohd, A. A. M. Faudzi, Dyah Ekashanti Octorina Dewi, Mohamad Amir Shamsudin y 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.
Texto completoKuo, Chia-Chun, Ho-Chiao Chuang, Kuan-Ting Teng, Hsiao-Yu Hsu, Der-Chi Tien, Chih-Jen Wu, Shiu-Chen Jeng y Jeng-Fong Chiou. "An autotuning respiration compensation system based on ultrasound image tracking". Journal of X-Ray Science and Technology 24, n.º 6 (22 de noviembre de 2016): 875–92. http://dx.doi.org/10.3233/xst-160598.
Texto completoJo, Hyeong Geun. "Moving object detection and tracking based on Doppler ultrasound". INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, n.º 2 (1 de agosto de 2021): 4565–69. http://dx.doi.org/10.3397/in-2021-2745.
Texto completoNagy, Csaba, Zalán Biró-Ambrus y Lőrinc Márton. "Development of an Ultrasound Based Tracking System for Indoor Robot Localization". MACRo 2015 1, n.º 1 (1 de marzo de 2015): 155–62. http://dx.doi.org/10.1515/macro-2015-0015.
Texto completoJia, Fei, Shu Wang y V. T. Pham. "A Hybrid Catheter Localisation Framework in Echocardiography Based on Electromagnetic Tracking and Deep Learning Segmentation". Computational Intelligence and Neuroscience 2022 (6 de octubre de 2022): 1–9. http://dx.doi.org/10.1155/2022/2119070.
Texto completoShao, Marine Y., Tamara Vagg, Matthias Seibold y Mitchell Doughty. "Towards a Low-Cost Monitor-Based Augmented Reality Training Platform for At-Home Ultrasound Skill Development". Journal of Imaging 8, n.º 11 (9 de noviembre de 2022): 305. http://dx.doi.org/10.3390/jimaging8110305.
Texto completoCadena, Rubén Machucho, Sergio de la Cruz Rodríguez y Eduardo Bayro-Corrochano. "Tracking of Brain Tumors using Vision and Neurosonography". Applied Bionics and Biomechanics 7, n.º 2 (2010): 123–30. http://dx.doi.org/10.1155/2010/496754.
Texto completoZhang, S. B., Y. M. Zhang y R. Kovacevic. "Noncontact Ultrasonic Sensing for Seam Tracking in Arc Welding Processes". Journal of Manufacturing Science and Engineering 120, n.º 3 (1 de agosto de 1998): 600–608. http://dx.doi.org/10.1115/1.2830164.
Texto completoAlsbrooks, Kimberly y 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 (enero de 2023): 237796082211507. http://dx.doi.org/10.1177/23779608221150721.
Texto completoBaker, 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, n.º 23 (22 de noviembre de 2022): 9035. http://dx.doi.org/10.3390/s22239035.
Texto completoTesis sobre el tema "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.
Texto completoThe 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.
Texto completoWith 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
Capítulos de libros sobre el tema "Ultrasound-based tracking system"
Niu, Kenan, Victor Sluiter, Jasper Homminga, André Sprengers y Nico Verdonschot. "A Novel Ultrasound-Based Lower Extremity Motion Tracking System". En Advances in Experimental Medicine and Biology, 131–42. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1396-7_11.
Texto completoDe Luca, Valeria, Michael Tschannen, Gábor Székely y Christine Tanner. "A Learning-Based Approach for Fast and Robust Vessel Tracking in Long Ultrasound Sequences". En Advanced Information Systems Engineering, 518–25. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40811-3_65.
Texto completoAsselin, Mark, Tamas Ungi, Andras Lasso y Gabor Fichtinger. "A Training Tool for Ultrasound-Guided Central Line Insertion with Webcam-Based Position Tracking". En 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.
Texto completoLou, E., D. Nguyen, D. Hill y J. Raso. "Validation of a novel handheld 3D ultrasound system for imaging scoliosis – phantom study". En Studies in Health Technology and Informatics. IOS Press, 2021. http://dx.doi.org/10.3233/shti210444.
Texto completoBinder, Thomas. "Technical equipment for echocardiography". En ESC CardioMed, editado por Frank Flachskampf, 422–25. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198784906.003.0084.
Texto completoActas de conferencias sobre el tema "Ultrasound-based tracking system"
Smith, Wendy L. y Aaron Fenster. "Analysis of an image-based transducer tracking system for 3D ultrasound". En Medical Imaging 2003, editado por William F. Walker y Michael F. Insana. SPIE, 2003. http://dx.doi.org/10.1117/12.479965.
Texto completoLiu, Guiqing, Jianru Liang y Kai Yuan. "Designed of Automatic Frequency Tracking System for Ultrasound Based on FPGA". En the 2019 International Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3366194.3366212.
Texto completoCai, Qianqian, Chang Peng, Juan C. Prieto, Alan J. Rosenbaum, Jeffrey S. A. Stringer y Xiaoning Jiang. "A Low-Cost Camera-Based Ultrasound Probe Tracking System: Design and Prototype". En 2019 IEEE International Ultrasonics Symposium (IUS). IEEE, 2019. http://dx.doi.org/10.1109/ultsym.2019.8925631.
Texto completoBaba, Mohammad M., Otmane Ait Mohamed, Falah Awwad y Mohammad I. Daoud. "A low-cost camera-based transducer tracking system for freehand three-dimensional ultrasound". En 2016 14th IEEE International New Circuits and Systems Conference (NEWCAS). IEEE, 2016. http://dx.doi.org/10.1109/newcas.2016.7604825.
Texto completoAvilés, Esteban, Stefano E. Romero y Benjamin Castaneda. "An Ultrasound Transducer Tracking System Enhanced by Artificial Intelligence: A Camera-Based Approach". En 2023 19th International Symposium on Medical Information Processing and Analysis (SIPAIM). IEEE, 2023. http://dx.doi.org/10.1109/sipaim56729.2023.10373436.
Texto completoLok, U.-Wai, Chengwu Huang, Shanshan Tang, Ping Gong, Fabrice Lucien, Yohan Kim, Pengfei Song y Shigao Chen. "Three-dimensional Super-Resolution Ultrasound Microvessel Imaging with Bipartite Graph-based Microbubble Tracking using a Verasonics 256-channel Ultrasound System". En 2019 IEEE International Ultrasonics Symposium (IUS). IEEE, 2019. http://dx.doi.org/10.1109/ultsym.2019.8925908.
Texto completoRanger, Bryan J., Micha Feigin, Hugh M. Herr y Brian W. Anthony. "Image registration in a tomographic ultrasound system: Comparison between camera-tracking and image-based motion compensation". En 2017 IEEE International Ultrasonics Symposium (IUS). IEEE, 2017. http://dx.doi.org/10.1109/ultsym.2017.8092519.
Texto completoRanger, Bryan, Micha Feigin, Hugh Herr y Brian Anthony. "Image registration in a tomographic limb ultrasound system: Comparison between camera-tracking and image-based motion compensation". En 2017 IEEE International Ultrasonics Symposium (IUS). IEEE, 2017. http://dx.doi.org/10.1109/ultsym.2017.8092541.
Texto completoPark, Kyusic y Deukhee Lee. "Image-guided handheld HIFU treatment system based on real-time tracking of ultrasound imaging probe and HIFU probe". En 2013 13th International Conference on Control, Automaton and Systems (ICCAS). IEEE, 2013. http://dx.doi.org/10.1109/iccas.2013.6704025.
Texto completoRabiei, Mahsa y Bardia Konh. "A Portable Robot to Perform Prostate Brachytherapy with Active Needle Steering and Robot-Assisted Ultrasound Tracking". En 2022 Design of Medical Devices Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/dmd2022-1014.
Texto completo