Title :
3d wave propagation and traceback in vascular extraction
Author :
Kirbas, Cemil ; Quek, Francis K H
Author_Institution :
Dept. of Comput. Sci. & Eng., Wright State Univ., Dayton, OH, USA
Abstract :
Presents an approach for the extraction of vasculature from a volume of magnetic resonance angiography (MRA) images by using a 3D wave propagation and traceback mechanism. The method employs a dual-sigmoid filter to label each voxel in the MRA image volume with the likelihood that it is within a vessel. Resulting likelihood image is modeled as a medium, represented as an array of refractive indices, through which a wave may be propagated. Starting from the base of the vasculature, the digital wave propagates through the medium and extracts the vascular tree while washing over the local noise perturbations.
Keywords :
biomedical MRI; blood vessels; edge detection; medical image processing; 3D wave propagation; MRA image volume; array of refractive indices; digital wave; dual-sigmoid filter; likelihood image; local noise perturbations; magnetic resonance angiography; traceback mechanism; vascular extraction; vascular tree; vasculature; voxel; Angiography; Computer science; Data mining; Filters; Level set; Magnetic noise; Magnetic resonance; Magnetic resonance imaging; Magnetic separation; Tree graphs;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1106286