4 June 2011 Blood vessel segmentation in magnetic resonance angiography imagery
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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.
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S. P. Kozaitis, R. Chandramohan, "Blood vessel segmentation in magnetic resonance angiography imagery", Proc. SPIE 8058, Independent Component Analyses, Wavelets, Neural Networks, Biosystems, and Nanoengineering IX, 805810 (4 June 2011); doi: 10.1117/12.882897; https://doi.org/10.1117/12.882897
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