A 3-D modeling scheme for cerebral vasculature from MRA datasets

Authors:
Zhongyuan Qin;Xuanqin Mou;Ruofei Zhang
Affiliations:
Institute of Image Processing, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China;Institute of Image Processing, Xi'an Jiaotong University, Xi'an, Shaanxi, P. R. China;Department of Computer Science, Sate University of New York at Binghamton, Binghamton, NY
Venue:
CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
Year:
2003

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Abstract

This paper proposes an integrative approach that facilitates physicians to semi automatically obtain a 3-D symbolic representation of cerebral vasculature from 3-D magnetic resonance angiography (MRA) datasets. In this approach, firstly vessels are segmented by morphology method followed by 3-D parallel thinning to obtain the one voxel wide skeleton. Then a novel method employing general tree and its combinations is introduced to depict the 3-D geometrical structure of the vasculature. With the generated tree, post processing, such as traversal and visualization, is implemented. The method has been tested on both synthetic images and real images; the results are promising. A system based on this approach proVides a useful visualization tool of the intracerebral vasculature for clinic applications.