Automatic human brain vessel segmentation from 3D 7 Tesla MRA images using fast marching with anisotropic directional prior

Accurate 3D models of the human brain vessels can greatly help to diagnose serious diseases. Such models can be constructed by segmentation of 3D MRA images, especially the recently introduced high resolution 7T MRA. We propose a new two-step approach for fully automatic segmentation of 7T MRA image...

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Bibliographic Details
Published in2012 9th IEEE International Symposium on Biomedical Imaging (ISBI) pp. 1140 - 1143
Main Authors Wei Liao, Rohr, K., Chang-Ki Kang, Zang-Hee Cho, Worz, S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2012
Subjects
7T MRA
anisotropic fast marching
Automatic 3D segmentation
Biomedical imaging
Brain modeling
Cerebral vasculature
Computational modeling
Humans
Image segmentation
Mathematical model
Solid modeling
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Summary:Accurate 3D models of the human brain vessels can greatly help to diagnose serious diseases. Such models can be constructed by segmentation of 3D MRA images, especially the recently introduced high resolution 7T MRA. We propose a new two-step approach for fully automatic segmentation of 7T MRA images of the human cerebrovascular system. First, a 3D model-based approach is applied to segment thick vessels and most parts of thin vessels. Then, the missing vessel parts, which are caused by low contrast and high noise, are completed using a novel fast marching approach with anisotropic directional prior. An evaluation of our approach and a comparison with two previous approaches have been conducted using high resolution 3D 7T MRA images.
ISBN:145771857X
9781457718571
ISSN:1945-7928
1945-8452
DOI:10.1109/ISBI.2012.6235761