Tsechpenakis, GavriilHammes, Nathan M.Tuceryan, MihranFang, Shiaofen2015-07-312015-07-312015-02-09Nathan Hammes. Segmentation of Human Retinal Layers from Optical Coherence Tomography Scans. ProQuest, 2015.https://hdl.handle.net/1805/6596http://dx.doi.org/10.7912/C2/2326Indiana University-Purdue University Indianapolis (IUPUI)An algorithm was developed in to efficiently segment the inner-limiting membrane (ILM) and retinal pigmented epithelium (RPE) from spectral domain-optical coherence tomography image volumes. A deformable model framework is described and implemented in which free-form deformations (FFD) are used to direct two deformable sheets to the two high-contrast layers of interest. Improved accuracy in determining retinal thickness (the distance between the ILM and the RPE) is demonstrated against the commercial state-of-the-art Spectralis OCT native segmentation software. A novel adaptation of the highest confidence first (HCF) algorithm is utilized to improve upon the initial results. The proposed adaptation of HCF provides distance-based clique potentials and an efficient solution to layer-based segmentation, reducing a 3D problem to 2D inference.en-USOptical coherence tomographyDeformable modelsImage processingSurface segmentationHighest confidence firstRetina - TomographyEye - TomographyOptical coherence tomographyThesis