Multimodal Segmentation of Optic Disc and Cup From SD-OCT and Color Fundus Photographs Using a Machine-Learning Graph-Based Approach

IEEE Transactions on Medical Imaging
Mohammad Saleh MiriMona K Garvin

Abstract

In this work, a multimodal approach is proposed to use the complementary information from fundus photographs and spectral domain optical coherence tomography (SD-OCT) volumes in order to segment the optic disc and cup boundaries. The problem is formulated as an optimization problem where the optimal solution is obtained using a machine-learning theoretical graph-based method. In particular, first the fundus photograph is registered to the 2D projection of the SD-OCT volume. Three in-region cost functions are designed using a random forest classifier corresponding to three regions of cup, rim, and background. Next, the volumes are resampled to create radial scans in which the Bruch's Membrane Opening (BMO) endpoints are easier to detect. Similar to in-region cost function design, the disc-boundary cost function is designed using a random forest classifier for which the features are created by applying the Haar Stationary Wavelet Transform (SWT) to the radial projection image. A multisurface graph-based approach utilizes the in-region and disc-boundary cost images to segment the boundaries of optic disc and cup under feasibility constraints. The approach is evaluated on 25 multimodal image pairs from 25 subjects in a leave-one-ou...Continue Reading

References

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Citations

Aug 11, 2016·Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society·Mohammad Saleh MiriMona K Garvin
Oct 21, 2016·Bioengineered·Man HuYongli Xu
Dec 27, 2016·Biomedical Optics Express·Mohammad Saleh MiriMona K Garvin
Oct 4, 2018·Microscopy Research and Technique·Tanzila SabaMudassar Raza
May 9, 2019·Biomedical Optics Express·Kay GawlikElla Maria Kadas
Oct 10, 2018·Journal of Medical Systems·Syed Muhammad AnwarMuhammad Khurram Khan
Jul 8, 2018·Der Ophthalmologe : Zeitschrift der Deutschen Ophthalmologischen Gesellschaft·B S GerendasU Schmidt-Erfurth
Nov 12, 2020·Translational Vision Science & Technology·Melina CavichiniWilliam R Freeman
Feb 3, 2021·Journal français d'ophtalmologie·A BilalS Mazhar
Mar 27, 2021·Progress in Retinal and Eye Research·Tristan T HormelYali Jia
Jul 10, 2021·Annual Review of Vision Science·Alexi GeevargheseJoel S Schuman

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