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dc.contributor.authorKozaitis, Samuel P.
dc.contributor.authorChandramohan, Raghu
dc.date.accessioned2017-04-18T16:17:03Z
dc.date.available2017-04-18T16:17:03Z
dc.date.issued2011-06-03
dc.identifier.citationKozaitis, S. P., & Chandramohan, R. (2011). Blood vessel segmentation in magnetic resonance angiography imagery. Paper presented at the Proceedings of SPIE - the International Society for Optical Engineering, , 8058 doi:10.1117/12.882897en_US
dc.identifier.urihttp://hdl.handle.net/11141/1335
dc.description.abstractSmall 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.en_US
dc.language.isoen_USen_US
dc.rightsThis published article is made available in accordance with publishers policy. It may be subject to U.S. copyright law.en_US
dc.rights.urihttp://spie.org/publications/journals/guidelines-for-authors#Terms_of_Useen_US
dc.titleBlood vessel segmentation in magnetic resonance angiography imageryen_US
dc.typeConference Proceedingen_US
dc.identifier.doi10.1117/12.882897


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