Title :
Segmentation and tracking of coronary arteries
Author :
Ingrassia, Chris ; Windyga, Piotr ; Shah, Mubarak
Author_Institution :
Comput. Vision Lab., Central Florida Univ., Orlando, FL, USA
Abstract :
In most developed countries, heart disease is the leading cause of death. As a result of plaque buildup, the heart´s beating motion is disrupted. A two-step method is proposed to detect this pathologic behavior. First, vessel skeletons are extracted in each image by detecting regions of low gradient magnitude. Then, a motion trajectory is computed for each point of the segmented artery tree. The output is a set of vectors describing the general motion of each artery branch
Keywords :
angiocardiography; blood vessels; cardiovascular system; diagnostic radiography; feature extraction; image motion analysis; image segmentation; medical image processing; angiogram images; coronary arteries; feature points; gradient data; heart disease; motion trajectory; pathologic behavior; plaque buildup; regions of low gradient magnitude; segmented artery tree; set of vectors; two-step method; vessel segmentation; vessel skeletons; vessel spines; vessel tracking; Angiography; Arteries; Cardiac disease; Computer vision; Cost function; Data mining; Heart; Image segmentation; Skeleton; Tracking;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.802251