This study was motivated by the interest of measuring different cardiac par
ameters for which changes in the flow rate during a cardiac cycle needs to
be determined at different positions along a vessel segment. These measurem
ents result in a great number of images for which automatic contour detecti
on is very helpful. A model-based algorithm for intraluminal contour detect
ion has been developed in order to allow an accurate quantitative image ana
lysis. The algorithm permits to select contours automatically on all the fr
ames and slices of an imaging study. Images obtained on a flow phantom simu
lating the effects of blood circulation in large arteries have been used to
validate the method. They were acquired with a specially designed interlea
ved multi slice and phase sequence, using a standard whole-body 2 Tesla NMR
scanner. A potential in vivo application of the algorithm has been demonst
rated on abdominal aorta images. (C) 2001 Elsevier Science Inc. All rights
reserved.