Document Detail

CTA coronary labeling through efficient geodesics between trees using anatomy priors.
MedLine Citation:
PMID:  25485419     Owner:  NLM     Status:  In-Process    
We present an efficient realization of recent work on unique geodesic paths between tree shapes for the application of matching coronary arteries to a standard model of coronary anatomy in order to label the coronary arteries. Automatically labeled coronary arteries would speed reporting for physicians. The efficiency of the approach and the quality of the results are enhanced using the relative position of detected cardiac structures. We explain how to efficiently compute the geodesic paths between tree shapes using Dijkstra's algorithm and we present a methodology to account for missing side branches during matching. For nearly all labels our approach shows promise compared with recent work and we results for 8 additional labels.
Mehmet A Gülsün; Gareth Funka-Lea; Yefeng Zheng; Matthias Eckert
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention     Volume:  17     ISSN:  -     ISO Abbreviation:  Med Image Comput Comput Assist Interv     Publication Date:  2014  
Date Detail:
Created Date:  2014-12-08     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:  521-8     Citation Subset:  IM    
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