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
fDate :
31 Oct-3 Nov 1996
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;
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
DOI :
10.1109/IEMBS.1996.652711