Document Detail

Live-vessel: extending livewire for simultaneous extraction of optimal medial and boundary paths in vascular images.
MedLine Citation:
PMID:  18044599     Owner:  NLM     Status:  MEDLINE    
This paper incorporates multiscale vesselness filtering into the Livewire framework to simultaneously compute optimal medial axes and boundaries in vascular images. To this end, we extend the existing 2D graph search to 3D space to optimize not only for spatial variables (x, y), but also for radius values r at each node. In addition, we minimize change for both scale and the smallest principle curvature and incorporate vessel boundary evidence in our optimization. When compared to two sets of DRIVE expert manual tracings, our proposed technique reduced the overall segmentation task time by 68.2%, had a similarity ratio of 0.772 (0.775 between manual), and was 98.2% reproducible.
Kelvin Poon; Ghassan Hamarneh; Rafeef Abugharbieh
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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:  10     ISSN:  -     ISO Abbreviation:  Med Image Comput Comput Assist Interv     Publication Date:  2007  
Date Detail:
Created Date:  2007-11-29     Completed Date:  2008-01-03     Revised Date:  2009-12-11    
Medline Journal Info:
Nlm Unique ID:  101249582     Medline TA:  Med Image Comput Comput Assist Interv     Country:  Germany    
Other Details:
Languages:  eng     Pagination:  444-51     Citation Subset:  IM    
Biomedical Signal and Image Computing Lab, University of British Columbia.
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MeSH Terms
Angiography / methods*
Artificial Intelligence*
Blood Vessels / anatomy & histology*
Image Enhancement / methods*
Image Interpretation, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods*
Pattern Recognition, Automated / methods*
Reproducibility of Results
Sensitivity and Specificity

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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