Retinal Nerve Fiber Layer Segmentation on FD-OCT Scans of Normal Subjects and Glaucoma Patients
Open Access
- 8 November 2010
- journal article
- Published by Optica Publishing Group in Biomedical Optics Express
- Vol. 1 (5), 1358-1383
- https://doi.org/10.1364/BOE.1.001358
Abstract
Automated measurements of the retinal nerve fiber layer thickness on circular OCT B-Scans provide physicians additional parameters for glaucoma diagnosis. We propose a novel retinal nerve fiber layer segmentation algorithm for frequency domain data that can be applied on scans from both normal healthy subjects, as well as glaucoma patients, using the same set of parameters. In addition, the algorithm remains almost unaffected by image quality. The main part of the segmentation process is based on the minimization of an energy function consisting of gradient and local smoothing terms. A quantitative evaluation comparing the automated segmentation results to manually corrected segmentations from three reviewers is performed. A total of 72 scans from glaucoma patients and 132 scans from normal subjects, all from different persons, composed the database for the evaluation of the segmentation algorithm. A mean absolute error per A-Scan of 2.9 µm was achieved on glaucomatous eyes, and 3.6 µm on healthy eyes. The mean absolute segmentation error over all A-Scans lies below 10 µm on 95.1% of the images. Thus our approach provides a reliable tool for extracting diagnostic relevant parameters from OCT B-Scans for glaucoma diagnosis.Keywords
This publication has 38 references indexed in Scilit:
- Detection of Macular Ganglion Cell Loss in Glaucoma by Fourier-Domain Optical Coherence TomographyOphthalmology, 2009
- Blood Vessel Contributions to Retinal Nerve Fiber Layer Thickness Profiles Measured With Optical Coherence TomographyJournal of Glaucoma, 2008
- Mapping of Macular Substructures with Optical Coherence Tomography for Glaucoma DiagnosisOphthalmology, 2007
- Reproducibility of Quantitative Optical Coherence Tomography Subanalysis in Neovascular Age-Related Macular DegenerationPublished by Association for Research in Vision and Ophthalmology (ARVO) ,2007
- Error Correction and Quantitative Subanalysis of Optical Coherence Tomography Data Using Computer-Assisted GradingPublished by Association for Research in Vision and Ophthalmology (ARVO) ,2007
- Evaluation of potential image acquisition pitfalls during optical coherence tomography and their influence on retinal image segmentationJournal of Biomedical Optics, 2007
- Analysis of posterior retinal layers in spectral optical coherence tomography images of the normal retina and retinal pathologiesJournal of Biomedical Optics, 2007
- A new quality assessment parameter for optical coherence tomographyBritish Journal of Ophthalmology, 2006
- Optical coherence tomography - principles and applicationsReports on Progress in Physics, 2003
- Retinal thickness measurements from optical coherence tomography using a Markov boundary modelIEEE Transactions on Medical Imaging, 2001