Segmentation and tracking of coronary arteries

Author

Ingrassia, Chris ; Windyga, Piotr ; Shah, Mubarak

Author_Institution

Comput. Vision Lab., Central Florida Univ., Orlando, FL, USA

Volume

1

fYear

1999

fDate

1999

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;

fLanguage

English

Publisher

ieee

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

ISSN

1094-687X

Print_ISBN

0-7803-5674-8

Type

conf

DOI

10.1109/IEMBS.1999.802251

Filename

802251