Title
A Deformable Vessel Model with Single Point Initialization for Segmentation, Quantification and Visualization of Blood Vessels in 3D MRA
Abstract
We deal with image segmentation applied to three-dimensional (3D) analysis of of vascular morphology in magnetic resonance angiography (MRA) images. The main goal of our work is to develop a fast and reliable method for stenosis quantification. The first step towards this purpose is the extraction of the vessel axis by an expansible skeleton method. Vessel boundaries are then detected in the planes locally orthogonal to the centerline using an improved active contour. Finally, area measurements based on the resulting contours allow the calculation of stenosis parameters. The expansible nature of the skeleton associated with a single point initialization of the active contour allows overcoming some limitations of traditional deformable models. As a result, the algorithm performs well even for severe stenosis and significant vessel curvatures. Experimental results are presented in 3D phantom images as well as in real images of patients.
Year
DOI
Venue
2000
10.1007/978-3-540-40899-4_76
MICCAI
Keywords
Field
DocType
deformable vessel model,blood vessels,single point initialization,three dimensional,active contour,image segmentation
Active contour model,Computer vision,Pattern recognition,Segmentation,Computer science,Imaging phantom,Stenosis,Image segmentation,Artificial intelligence,Initialization,Real image,Magnetic resonance angiography
Conference
Volume
ISSN
ISBN
1935
0302-9743
3-540-41189-5
Citations 
PageRank 
References 
17
1.44
10
Authors
6
Name
Order
Citations
PageRank
Marcela Hernández Hoyos122815.91
Alfred Anwander256136.94
Maciej Orkisz331524.14
Jean-Pierre Roux4232.67
Philippe Douek5345.64
Isabelle E. Magnin654064.87