5 August 2009 Detection of blood vessels in human brain: 3D magnetic resonance images with the use of mathematical morphology and region growing algorithms
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Proceedings Volume 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009; 75022M (2009) https://doi.org/10.1117/12.837696
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 2009, Wilga, Poland
Abstract
Detection and quantitative parameterization of brain blood vessels in magnetic resonance images (MRI) are an important aid to diagnosing neoplasmic diseases, planning surgical operations or detecting the atrophy of blood vessels. Fast and effective computer programs are needed to extract quantitative information from MRI data - to increase objectivity, accuracy and repeatability of the diagnosis. To develop such programs we must use algorithms for 3D images segmentation, necessary to build geometrical models of the blood vessels. These models are then used for vessel tree visualization and quantitative description.
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Adam Sankowski, Andrzej Materka, "Detection of blood vessels in human brain: 3D magnetic resonance images with the use of mathematical morphology and region growing algorithms", Proc. SPIE 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 75022M (5 August 2009); doi: 10.1117/12.837696; https://doi.org/10.1117/12.837696
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