Share Email Print
cover

Proceedings Paper

Blood vessel segmentation in magnetic resonance angiography imagery
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Small blood vessels may be difficult to detect in magnetic resonance angiography due to the lack of blood flow caused by disease or injury. Our method, which uses a block-matching denoising approach to segment blood vessels, works well in the presence of noise. We examined extended regions of an image to determine whether they contained blood vessels by fitting a Gaussian mixture model to a region's histogram. Then, dissimilar regions were denoised separately. This approach was beneficial in low-contrast settings. It can be used to detect higher-order blood vessels that may be difficult to detect under normal conditions.

Paper Details

Date Published: 4 June 2011
PDF: 7 pages
Proc. SPIE 8058, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX, 805810 (4 June 2011); doi: 10.1117/12.882897
Show Author Affiliations
S. P. Kozaitis, Florida Institute of Technology (United States)
R. Chandramohan, Florida Institute of Technology (United States)


Published in SPIE Proceedings Vol. 8058:
Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX
Harold Szu, Editor(s)

© SPIE. Terms of Use
Back to Top