Paper Info
Title
Vascular Shape Segmentation and Structure Extraction Using a Shape-Based Region-Growing Model
Abstract
A new, practical, and efficient approach is proposed for 3D vascular segmentation and bifurcation structure extraction. The method uses a combination of mathematical morphology, region-growing schemes, and shape features in addition to greyscale information. By an extension of math-morphological operations within bounded space of vascular shape, smooth and natural region-growing and sensitivity-controllable bifurcation detection were realized. The algorithm was implemented in the interactive segmentation and visualization software package VOXEL-MAN and validated with clinical data of X-ray CT angiography and MRA.
Year
DOI
Venue
1998
10.1007/BFb0056314
MICCAI
Keywords
Field
DocType
vascular shape segmentation,structure extraction,shape-based region-growing model,mathematical morphology,region growing
Computer vision,Scale-space segmentation,Pattern recognition,Computer science,Mathematical morphology,Segmentation,Artificial intelligence,Region growing,Software visualization,Grayscale,Bifurcation,Bounded function
Conference
Volume
ISSN
ISBN
1496
0302-9743
3-540-65136-5
Citations 
PageRank 
References 
24
3.37
9
Authors
3
Name
Order
Citations
PageRank
Yoshitaka Masutani114530.52
Thomas Schiemann223244.40
Karl Heinz Höhne3562205.28