Detail of the student project

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 )
Responsible person: Petr Pošík