Title :
Mathematical morphology analysis of 3D MRA images of human brain for estimation of blood vessels parameters
Author :
Sankowski, Adam ; Materka, Andrzej
Author_Institution :
Inst. of Electron., Lodz Univ. of Technolozgy, Lodz, Poland
Abstract :
The aim of the described research is to develop brain blood vessels modeling algorithm on the basis of three-dimensional high-resolution magnetic resonance images. The geometrical model of vessels will be used to visualize arteries and veins and to determine their quantitative description. It is expected that the estimated geometrical parameters of vessels will significantly complement the results of medical examinations and contribute to a more objective and accurate medical diagnosis. Geometrical parameters need to be extracted from MRA image after segmentation. Most important parameters are: vessel diameter, local direction and location of vessel endings and bifurcations. In this paper, the estimation algorithms will be presented. They are developed on the basis of three-dimensional skeleton of vessels and vessel tracking techniques.
Keywords :
bifurcation; biomedical MRI; blood vessels; brain; image segmentation; mathematical morphology; parameter estimation; 3D MRA image segmentation; MRA image; arteries; bifurcations; blood vessel parameter estimation; brain blood vessel modeling algorithm; geometrical parameter estimation; human brain; mathematical morphology analysis; medical diagnosis; medical examinations; quantitative description; three-dimensional high-resolution magnetic resonance image; three-dimensional skeleton; veins; vessel diameter; vessel tracking technique; Bifurcation; Biomedical imaging; Blood vessels; Brain modeling; Decision support systems; Estimation; Morphology; Magnetic Resonanse Angiography; bifurcation; blood vessels; diameter; image processing; local direction; parameter estimation;
Conference_Titel :
New Trends in Audio & Video and Signal Processing: Algorithms, Architectures, Arrangements, and Applications (NTAV/SPA), 2012 Joint Conference
Conference_Location :
Lodz
Print_ISBN :
978-8-3728-3502-4