DocumentCode :
2728774
Title :
Coronary extraction and stenosis quantification in X-ray angiographic imaging
Author :
Brieva, J. ; Gálvez, M. ; Toumoulin, C.
Author_Institution :
Departamento de Electron., Campus Ciudad de Mexico, Mexico City, Mexico
Volume :
1
fYear :
2004
fDate :
1-5 Sept. 2004
Firstpage :
1714
Lastpage :
1717
Abstract :
This work describes a method to quantify stenosis in X-ray coronary angiography. Vascular edge extraction is first performed based on a deformable spline algorithm. It makes use of directional S-Gabor filters to build an external energy field that is then used in a snake optimisation scheme. A string matching technique is then applied to match the contour points and obtain a trace between the matched points. This trace allows then computing the vessel diameter and deriving quantitative stenosis measurements. Experimental results are presented on simulated data and real images.
Keywords :
angiocardiography; blood vessels; diagnostic radiography; edge detection; image matching; medical image processing; splines (mathematics); X-ray coronary angiographic imaging; coronary extraction; deformable spline algorithm; directional S-Gabor filters; snake optimisation; stenosis quantification; string matching technique; vascular edge extraction; Angiography; Arteries; Deformable models; Displacement control; Feature extraction; Lesions; Optical imaging; Spline; Surgery; X-ray imaging; B-Splines snakes; Coronary Angiography; Deformable model; Feature extraction; Stenosis measurement; String matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
Type :
conf
DOI :
10.1109/IEMBS.2004.1403515
Filename :
1403515
Link To Document :
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