| List |
| Topic: | Lokalizace a segmentace karotidy z in-vivo ultrazvukových obrazů |
|---|---|
| Department: | Katedra kybernetiky |
| Supervisor: | prof. Dr. Ing. Jan Kybic |
| Announce as: | Diplomová práce, Semestrální projekt |
| Description: | Given in-vivo ultrasound images, implement algorithms for localization and segmentation of the carotid artery. Implement descriptors of the shape and appearance of the artery wall, lumen and plaques. Try to predict the clinical outcome from the extracted descriptors. |
| Bibliography: | Automatic multi-organ segmentation using learning-based segmentation and level set optimization
T Kohlberger, M Sofka, et al - International Conference on Medical Image Computing, 2011 Automatic detection and measurement of structures in fetal head ultrasound volumes using sequential estimation and integrated detection network (IDN) M Sofka, J Zhang, S Good, SK Zhou, D Comaniciu - IEEE Transactions on Medical Imaging, 2014 ŘÍHA, Kamil, Jan MAŠEK, Radim BURGET, Radek BENEŠ and Eva ZÁVODNÁ. Novel method for localization of common carotid artery transverse section in ultrasound images using modified viola-jones detector. Ultrasound in medicine & biology, New York: ELSEVIER SCIENCE INC, 2013, vol. 39, No 10, p. 1887-1902. ISSN 0301-5629. doi:10.1016/j.ultrasmedbio.2013.04.013. Sifakis, Golemati: Robust Carotid Artery Recognition in Longitudinal B-Mode Ultrasound Images IEEE Transactions on Image Processing ( Volume: 23 , Issue: 9 , Sept. 2014 ) |