Document Detail


3D liver segmentation in preoperative CT images using a levelsets active surface method.
MedLine Citation:
PMID:  19964309     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
In this work we propose an active surface method to segment complete liver volumes from preoperative CT abdominal images. The method finds the surface that minimizes an energy function combining intensity inside and outside the surface, gradient information and curvature restrictions. The implementation is based on a level set technique following a multi-resolution strategy to reduce computing time. It requires only a single seed point inside the liver to initialize the active surface. The algorithm has been validated on a set of previously diagnosed livers. Resulting segmentations have been supervised by clinicians and radiologists, and numerically evaluated in terms of volume measurements with respect to those obtained from radiologists' manual segmentations. Additionally, radiologists analyzed the necessity of additional corrections on segmenting volumes.
Authors:
Laura Fernandez-de-Manuel; Jose L Rubio; Maria J Ledesma-Carbayo; Javier Pascau; Jose M Tellado; Enrique Ramon; Manuel Desco; Andres Santos
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference     Volume:  1     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2009  
Date Detail:
Created Date:  2009-12-07     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  3625-8     Citation Subset:  IM    
Affiliation:
Group of Biomedical Image Technologies, ETSIT, Universidad Politécnica de Madrid, Madrid 28040 Spain. and the CIBER BBN, Spain.
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