Academic Commons

Presentations (Communicative Events)

Coarse to Fine Segmentation of Stargardt Rings Using an Expert Guided Dual Ellipse Model

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

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.

Files

More About This Work

Academic Units
Biomedical Engineering
Published Here
August 19, 2010

Notes

EMBC 2008 : Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society : "personalized healthcare through technology" : August 20-24, 2008, Vancouver, British Columbia, Canada (Piscataway, N.J. : IEEE, 2008), pp. 2250-2253.

Academic Commons provides global access to research and scholarship produced at Columbia University, Barnard College, Teachers College, Union Theological Seminary and Jewish Theological Seminary. Academic Commons is managed by the Columbia University Libraries.