Document Detail

Anatomical labeling of the anterior circulation of the Circle of Willis using maximum a posteriori classification.
MedLine Citation:
PMID:  22003716     Owner:  NLM     Status:  In-Process    
Automated anatomical labeling of the arteries forming the Circle of Willis is of great interest as facilitates inter-subject comparison required to discover geometric risk factors for the development of vascular pathologies. In this paper, we present a method for anatomical labeling of vessels forming anterior part of the Circle of Willis by detecting the five main vessel bifurcations. The method is first trained on a set of pre-labeled examples, where it learns local bifurcation features as well as global variation in the anatomy of the extracted vascular trees. Then the labeling of the target vascular tree is formulated as maximum a posteriori solution where the classifications of individual bifurcations are regularized by the prior learned knowledge of the tree they span. The method was evaluated by cross-validation on 30 subjects, which showed the vascular trees were correctly anatomically labeled in 90% of cases. The proposed method can naturally handle anatomical variations and is shown to be suitable for labeling arterial segments of Circle of Willis.
Hrvoje Bogunović; José María Pozo; Rubén Cárdenes; Alejandro F Frangi
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention     Volume:  14     ISSN:  -     ISO Abbreviation:  Med Image Comput Comput Assist Interv     Publication Date:  2011  
Date Detail:
Created Date:  2011-10-18     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101249582     Medline TA:  Med Image Comput Comput Assist Interv     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  330-7     Citation Subset:  IM    
Center for Computational Imaging & Simulation Technologies in Biomedicine, (CISTIB) - Universitat Pompeu Fabra (UPF) and CIBER-BBN, Barcelona, Spain.
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