DocumentCode
336602
Title
Automatic artery skeleton extraction
Author
Haris, K. ; Efstratiadis, S.N. ; Maglaveras, N. ; Gourassas, J. ; Pappas, C. ; Louridas, G.
Author_Institution
Fac. of Med., Aristotelian Univ. of Thessaloniki, Greece
Volume
2
fYear
1997
fDate
30 Oct-2 Nov 1997
Firstpage
852
Abstract
A new approach to the problem of extracting the skeletons of arteries in angiograms is proposed. The peaks, ridges and saddles of the digitized angiogram are considered as candidate artery skeleton points and are determined by analyzing the first and second order partial derivatives of the angiogram. Next, the binary image of candidate skeleton points is constructed and thinned. The large number of short linear branches, due to noise and irrelevant anatomical structures, are eliminated through connected component labeling of skeleton curves and pruning. Experimental results on digitized angiograms are presented
Keywords
blood vessels; diagnostic radiography; feature extraction; medical image processing; automatic artery skeleton extraction; candidate artery skeleton points; connected component labeling; digitized angiogram; irrelevant anatomical structures; medical diagnostic imaging; peaks; pruning; ridges; saddles; short linear branches; skeleton curves; Arteries; Biomedical imaging; Biomedical informatics; Cardiology; Filters; Hospitals; Labeling; Medical diagnostic imaging; Skeleton; Surface topography;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location
Chicago, IL
ISSN
1094-687X
Print_ISBN
0-7803-4262-3
Type
conf
DOI
10.1109/IEMBS.1997.757792
Filename
757792
Link To Document