Combined use of high-definition and volumetric optical coherence tomography for the segmentation of neural canal opening in cases of optic nerve edema

Jui-Kai Wang; Randy H. Kardon; Mona K. Garvin

doi:10.1117/12.2081485

20 March 2015 Combined use of high-definition and volumetric optical coherence tomography for the segmentation of neural canal opening in cases of optic nerve edema

Jui-Kai Wang, Randy H. Kardon, Mona K. Garvin

Author Affiliations +

Proceedings Volume 9413, Medical Imaging 2015: Image Processing; 94133V (2015) https://doi.org/10.1117/12.2081485
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

In cases of optic-nerve-head edema, the presence of the swelling reduces the visibility of the underlying neural canal opening (NCO) within spectral-domain optical coherence tomography (SD-OCT) volumes. Consequently, traditional SD-OCT-based NCO segmentation methods often overestimate the size of the NCO. The visibility of the NCO can be improved using high-definition 2D raster scans, but such scans do not provide 3D contextual image information. In this work, we present a semi-automated approach for the segmentation of the NCO in cases of optic disc edema by combining image information from volumetric and high-definition raster SD-OCT image sequences. In particular, for each subject, five high-definition OCT B-scans and the OCT volume are first separately segmented, and then the five high-definition B-scans are automatically registered to the OCT volume. Next, six NCO points are placed (manually, in this work) in the central three high-definition OCT B-scans (two points for each central B-scans) and are automatically transferred into the OCT volume. Utilizing a combination of these mapped points and the 3D image information from the volumetric scans, a graph-based approach is used to identify the complete NCO on the OCT en-face image. The segmented NCO points using the new approach were significantly closer to expert-marked points than the segmented NCO points using a traditional approach (root mean square differences in pixels: 5.34 vs. 21.71, p < 0.001).

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Jui-Kai Wang, Randy H. Kardon, and Mona K. Garvin "Combined use of high-definition and volumetric optical coherence tomography for the segmentation of neural canal opening in cases of optic nerve edema", Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94133V (20 March 2015); https://doi.org/10.1117/12.2081485

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