Detection of blood vessels in human brain 3D magnetic resonance images with the use of mathematical morphology and region growing algorithms
Adam Sankowski, Andrzej Materka · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
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.