Title :
Image Segmentation Methods for Detecting Blood Vessels in Angiography
Author :
Chung, Albert C S
Author_Institution :
Dept. of Comput. Sci. & Eng.,, Hong Kong Univ. of Sci. & Technol., Clear Water Bay
Abstract :
Computer-assisted detection and segmentation of blood vessels in angiography are crucial for endovascular treatments and embolization. In this article, I give an overview of the image segmentation methods using the features developed recently at our laboratory. Our current research directions are also highlighted
Keywords :
angiocardiography; blood vessels; haemorheology; image segmentation; medical image processing; object detection; active contour model; angiography; blood vessel detection; computer-assisted detection; endovascular embolization; endovascular treatment; feature detection; image segmentation; statistical segmentation; Angiography; Biomedical imaging; Blood vessels; Fluid flow measurement; Image analysis; Image segmentation; Laboratories; Linear predictive coding; Magnetic field measurement; Phase measurement; Active Contour Model; Angiography; Feature Detection; Segmentation of Blood Vessels; Statistical Segmentation;
Conference_Titel :
Control, Automation, Robotics and Vision, 2006. ICARCV '06. 9th International Conference on
Conference_Location :
Singapore
Print_ISBN :
1-4244-0341-3
Electronic_ISBN :
1-4214-042-1
DOI :
10.1109/ICARCV.2006.345331
