Document Detail

Use of varying constraints in optimal 3-D graph search for segmentation of macular optical coherence tomography images.
MedLine Citation:
PMID:  18051065     Owner:  NLM     Status:  MEDLINE    
An optimal 3-D graph search approach designed for simultaneous multiple surface detection is extended to allow for varying smoothness and surface interaction constraints instead of the traditionally used constant constraints. We apply the method to the intraretinal layer segmentation of 24 3-D optical coherence tomography (OCT) images, learning the constraints from examples in a leave-one-subject-out fashion. Introducing the varying constraints decreased the mean unsigned border positioning errors (mean error of 7.3 +/- 3.7 microm using varying constraints compared to 8.3 +/- 4.9 microm using constant constraints and 8.2 +/- 3.5 microm for the inter-observer variability).
Mona Haeker; Michael D Abràmoff; Xiaodong Wu; Randy Kardon; Milan Sonka
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Publication Detail:
Type:  Evaluation Studies; 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:  2007-12-04     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:  244-51     Citation Subset:  IM    
Department of Electrical & Computer Engineering, The University of Iowa, Iowa City, IA 52242, USA.
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MeSH Terms
Artificial Intelligence
Image Enhancement / methods
Image Interpretation, Computer-Assisted / methods*
Imaging, Three-Dimensional / methods
Macula Lutea / pathology*
Macular Degeneration / etiology,  pathology*
Ophthalmoscopy / methods*
Optic Neuropathy, Ischemic / complications,  pathology*
Pattern Recognition, Automated / methods
Reproducibility of Results
Sensitivity and Specificity
Tomography, Optical Coherence / methods*

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

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