Document Detail  Automatic centerline extraction of coronary
arteries in coronary computed tomographic angiography. Jump to
Full Text MedLine Citation: PMID:  21637981     Owner:  NLM    
Status:  MEDLINE     Coronary computed tomographic angiography
(CCTA) is a non-invasive imaging modality for the visualization
of the heart and coronary arteries. To fully exploit the
potential of the CCTA datasets and apply it in clinical
practice, an automated coronary artery extraction approach is
needed. The purpose of this paper is to present and validate a
fully automatic centerline extraction algorithm for coronary
arteries in CCTA images. The algorithm is based on an improved
version of Frangi's vesselness filter which removes unwanted
step-edge responses at the boundaries of the cardiac chambers.
Building upon this new vesselness filter, the coronary artery
extraction pipeline extracts the centerlines of main branches as
well as side-branches automatically. This algorithm was first
evaluated with a standardized eval