Coarse to fine segmentation of stargardt rings using an expert guided dual ellipse model

Noah Lee, Andrew F. Laine, R. Theodore Smith

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Computer aided diagnosis in the medical image domain requires adaptive knowledge-based models to handle uncertainty, ambiguity, and noise. We propose an expert guided coupled dual ellipse model in a coarse to fine energy minimization framework. In our approach we enforce subspace model constraints by fusing domain knowledge and model information to guide the segmentation process on the fly. We apply our method to the task of retinal Stargardt segmentation a disease that manifests itself in a ring like structure around the macula. Quantitative evaluations on synthetic and real data sets show the performance of our framework. Experimental results demonstrate that our framework performance well with an area under the ROC curve of 0.93.

Original languageEnglish
Title of host publicationProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
PublisherIEEE Computer Society
Pages2250-2253
Number of pages4
ISBN (Print)9781424418152
DOIs
StatePublished - 2008
Externally publishedYes
Event30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - Vancouver, BC, Canada
Duration: 20 Aug 200825 Aug 2008

Publication series

NameProceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Conference

Conference30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08
Country/TerritoryCanada
CityVancouver, BC
Period20/08/0825/08/08

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