Title :
Retinal thickness estimation from SD-OCT macular scans
Author :
Hammes, N. ; Racette, L. ; Samuels, B.C. ; Tsechpenakis, G.
Author_Institution :
Comput. & Inf. Sci. Dept., Indiana Univ.-Purdue Univ. Indianapolis, Indianapolis, IN, USA
Abstract :
Glaucoma, a leading cause of blindness worldwide, can be detected using retinal thicknesses from spectral-domain optical coherence tomography (SD-OCT) scans of the macula. We calculate the desired thickness maps as the distance between the inner-limiting membrane (ILM) and retinal pigmented epithelium (RPE) of the retina. To delineate these two layers, we use a set of two deformable open surfaces that are driven by intensity contrast, while preserving their shape and topology properties, i.e. local surface smoothness and inter-surface distance smoothness. To evaluate our method, qualified graders manually segmented 30 random sections from 20 OCT image stacks, in triplicate; we make comparisons with obtained ground-truth and the clinically tested Heidelberg Spectralis segmentation. We show the superiority of our method with respect to accuracy and average execution time (~7 secs), validating it as a clinical tool.
Keywords :
biomedical optical imaging; biomembranes; diseases; eye; image segmentation; medical image processing; optical tomography; thickness measurement; vision defects; Heidelberg Spectralis segmentation; OCT image stack segmentation; SD-OCT macular scans; blindness; glaucoma; inner-limiting membrane; inter-surface distance smoothness; local surface smoothness; retinal pigmented epithelium; retinal thickness estimation; spectral-domain optical coherence tomography scans; Biomedical optical imaging; Deformable models; Image segmentation; Optical imaging; Retina; Shape; Topology; Retinal thickness; early detection of glaucoma; interacting deformable surfaces;
Conference_Titel :
Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
Conference_Location :
New York, NY
DOI :
10.1109/ISBI.2015.7163852