DocumentCode
2316098
Title
Semi-automatic extraction of vascular networks in angiograms
Author
Haris, K. ; Efstratiadis, S.N. ; Maglaveras, N. ; Pappas, C.
Author_Institution
Fac. of Med., Aristotle Univ., Thessaloniki, Greece
Volume
3
fYear
1996
fDate
31 Oct-3 Nov 1996
Firstpage
1067
Abstract
A semi-automatic algorithm for the segmentation of angiographic images is proposed. First, the digital angiogram is smoothed by an image structure preserving technique which is based on homogeneity testing and anisotropic diffusion. Then, the watershed transform is applied to the smoothed image gradient magnitude and the resulting initial image partition is input to a fast hierarchical region merging process. Finally, the vessel regions are extracted from the segmented image by a simple point-and-click interactive procedure. Experimental results on Digital Subtracted Angiograms (DSA) are presented
Keywords
diagnostic radiography; feature extraction; image segmentation; medical image processing; blood vessels; digital subtracted angiograms; medical diagnostic imaging; segmented image; semiautomatic extraction; simple point-and-click interactive procedure; vascular networks; vessel regions; Anisotropic magnetoresistance; Data mining; Filters; Image segmentation; Intelligent networks; Merging; Noise reduction; Pixel; Smoothing methods; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location
Amsterdam
Print_ISBN
0-7803-3811-1
Type
conf
DOI
10.1109/IEMBS.1996.652711
Filename
652711
Link To Document