@InProceedings{8902772,
  author = {J. Dorazil and R. Repp and T. Kropfreiter and R. Prüller and K. Říha and F. Hlawatsch},
  booktitle = {2019 27th European Signal Processing Conference (EUSIPCO)},
  title = {A Multitarget Tracking Method for Estimating Carotid Artery Wall Motion from Ultrasound Sequences},
  year = {2019},
  pages = {1-5},
  abstract = {Analyzing the motion of the wall of the common carotid artery (CCA) yields effective indicators for atherosclerosis. In this work, we explore the use of multitarget tracking techniques for estimating the time-varying CCA radius from an ultrasound video sequence. We employ the joint integrated probabilistic data association (JIPDA) filter to track a set of “feature points” (FPs) located around the CCA wall cross section. Subsequently, we estimate the time-varying CCA radius via a non-linear least-squares method and a Kalman filter. The application of the JIPDA filter is enabled by a linearized state-space model describing the quasi-periodic movement of the FPs and the measurement extraction process. Simulation results using the Field II ultrasound simulation program show that the proposed multitarget tracking method can outperform a state-of-the-art method.},
  keywords = {biomechanics;biomedical ultrasonics;blood vessels;cardiovascular system;filtering theory;Kalman filters;medical image processing;sensor fusion;target tracking;field II ultrasound simulation program;multitarget tracking techniques;effective indicators;common carotid artery;ultrasound sequences;carotid artery wall motion;multitarget tracking method;linearized state-space model;JIPDA filter;Kalman filter;least-squares method;time-varying CCA radius;CCA wall cross section;FPs;joint integrated probabilistic data association filter;ultrasound video sequence;Radar tracking;Tracking;Speckle;Ultrasonic imaging;Carotid arteries;Time measurement;Clutter;Atherosclerosis;common carotid artery;ultrasound video processing;speckle tracking;multitarget tracking;joint integrated probabilistic data association (JIPDA) filter},
  doi = {10.23919/EUSIPCO.2019.8902772},
  issn = {2076-1465},
  month = {Sep.},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2019/proceedings/papers/1570533896.pdf},
}

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In this work, we explore the use of multitarget tracking techniques for estimating the time-varying CCA radius from an ultrasound video sequence. We employ the joint integrated probabilistic data association (JIPDA) filter to track a set of “feature points” (FPs) located around the CCA wall cross section. Subsequently, we estimate the time-varying CCA radius via a non-linear least-squares method and a Kalman filter. The application of the JIPDA filter is enabled by a linearized state-space model describing the quasi-periodic movement of the FPs and the measurement extraction process. Simulation results using the Field II ultrasound simulation program show that the proposed multitarget tracking method can outperform a state-of-the-art method.","keywords":"biomechanics;biomedical ultrasonics;blood vessels;cardiovascular system;filtering theory;Kalman filters;medical image processing;sensor fusion;target tracking;field II ultrasound simulation program;multitarget tracking techniques;effective indicators;common carotid artery;ultrasound sequences;carotid artery wall motion;multitarget tracking method;linearized state-space model;JIPDA filter;Kalman filter;least-squares method;time-varying CCA radius;CCA wall cross section;FPs;joint integrated probabilistic data association filter;ultrasound video sequence;Radar tracking;Tracking;Speckle;Ultrasonic imaging;Carotid arteries;Time measurement;Clutter;Atherosclerosis;common carotid artery;ultrasound video processing;speckle tracking;multitarget tracking;joint integrated probabilistic data association (JIPDA) filter","doi":"10.23919/EUSIPCO.2019.8902772","issn":"2076-1465","month":"Sep.","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2019/proceedings/papers/1570533896.pdf","bibtex":"@InProceedings{8902772,\n author = {J. Dorazil and R. Repp and T. Kropfreiter and R. Prüller and K. Říha and F. Hlawatsch},\n booktitle = {2019 27th European Signal Processing Conference (EUSIPCO)},\n title = {A Multitarget Tracking Method for Estimating Carotid Artery Wall Motion from Ultrasound Sequences},\n year = {2019},\n pages = {1-5},\n abstract = {Analyzing the motion of the wall of the common carotid artery (CCA) yields effective indicators for atherosclerosis. In this work, we explore the use of multitarget tracking techniques for estimating the time-varying CCA radius from an ultrasound video sequence. We employ the joint integrated probabilistic data association (JIPDA) filter to track a set of “feature points” (FPs) located around the CCA wall cross section. Subsequently, we estimate the time-varying CCA radius via a non-linear least-squares method and a Kalman filter. The application of the JIPDA filter is enabled by a linearized state-space model describing the quasi-periodic movement of the FPs and the measurement extraction process. Simulation results using the Field II ultrasound simulation program show that the proposed multitarget tracking method can outperform a state-of-the-art method.},\n keywords = {biomechanics;biomedical ultrasonics;blood vessels;cardiovascular system;filtering theory;Kalman filters;medical image processing;sensor fusion;target tracking;field II ultrasound simulation program;multitarget tracking techniques;effective indicators;common carotid artery;ultrasound sequences;carotid artery wall motion;multitarget tracking method;linearized state-space model;JIPDA filter;Kalman filter;least-squares method;time-varying CCA radius;CCA wall cross section;FPs;joint integrated probabilistic data association filter;ultrasound video sequence;Radar tracking;Tracking;Speckle;Ultrasonic imaging;Carotid arteries;Time measurement;Clutter;Atherosclerosis;common carotid artery;ultrasound video processing;speckle tracking;multitarget tracking;joint integrated probabilistic data association (JIPDA) filter},\n doi = {10.23919/EUSIPCO.2019.8902772},\n issn = {2076-1465},\n month = {Sep.},\n url = {https://www.eurasip.org/proceedings/eusipco/eusipco2019/proceedings/papers/1570533896.pdf},\n}\n\n","author_short":["Dorazil, J.","Repp, R.","Kropfreiter, T.","Prüller, R.","Říha, K.","Hlawatsch, F."],"key":"8902772","id":"8902772","bibbaseid":"dorazil-repp-kropfreiter-prller-ha-hlawatsch-amultitargettrackingmethodforestimatingcarotidarterywallmotionfromultrasoundsequences-2019","role":"author","urls":{"Paper":"https://www.eurasip.org/proceedings/eusipco/eusipco2019/proceedings/papers/1570533896.pdf"},"keyword":["biomechanics;biomedical ultrasonics;blood vessels;cardiovascular system;filtering theory;Kalman filters;medical image processing;sensor fusion;target tracking;field II ultrasound simulation program;multitarget tracking techniques;effective indicators;common carotid artery;ultrasound sequences;carotid artery wall motion;multitarget tracking method;linearized state-space model;JIPDA filter;Kalman filter;least-squares method;time-varying CCA radius;CCA wall cross section;FPs;joint integrated probabilistic data association filter;ultrasound video sequence;Radar tracking;Tracking;Speckle;Ultrasonic imaging;Carotid arteries;Time measurement;Clutter;Atherosclerosis;common carotid artery;ultrasound video processing;speckle tracking;multitarget tracking;joint integrated probabilistic data association (JIPDA) filter"],"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/Roznn/EUSIPCO/main/eusipco2019url.bib","creationDate":"2021-02-11T19:15:22.021Z","downloads":0,"keywords":["biomechanics;biomedical ultrasonics;blood vessels;cardiovascular system;filtering theory;kalman filters;medical image processing;sensor fusion;target tracking;field ii ultrasound simulation program;multitarget tracking techniques;effective indicators;common carotid artery;ultrasound sequences;carotid artery wall motion;multitarget tracking method;linearized state-space model;jipda filter;kalman filter;least-squares method;time-varying cca radius;cca wall cross section;fps;joint integrated probabilistic data association filter;ultrasound video sequence;radar tracking;tracking;speckle;ultrasonic imaging;carotid arteries;time measurement;clutter;atherosclerosis;common carotid artery;ultrasound video processing;speckle tracking;multitarget tracking;joint integrated probabilistic data association (jipda) filter"],"search_terms":["multitarget","tracking","method","estimating","carotid","artery","wall","motion","ultrasound","sequences","dorazil","repp","kropfreiter","prüller","říha","hlawatsch"],"title":"A Multitarget Tracking Method for Estimating Carotid Artery Wall Motion from Ultrasound Sequences","year":2019,"dataSources":["NqWTiMfRR56v86wRs","r6oz3cMyC99QfiuHW"]}