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2018 | OriginalPaper | Buchkapitel

Local Estimation of the Degree of Optic Disc Swelling from Color Fundus Photography

verfasst von : Samuel S. Johnson, Jui-Kai Wang, Mohammad Shafkat Islam, Matthew J. Thurtell, Randy H. Kardon, Mona K. Garvin

Erschienen in: Computational Pathology and Ophthalmic Medical Image Analysis

Verlag: Springer International Publishing

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Abstract

Swelling of the optic nerve head (ONH) is most accurately quantitatively assessed via volumetric measures using 3D spectral-domain optical coherence tomography (SD-OCT). However, SD-OCT is not always available as its use is primarily limited to specialized eye clinics rather than in primary care or telemedical settings. Thus, there is still a need for severity assessment using more widely available 2D fundus photographs. In this work, we propose a machine-learning approach to locally estimate the degree of the optic disc swelling at each pixel location from only a 2D fundus photograph as the input. For training purposes, a thickness map of the swelling (reflecting the distance between the top and bottom surfaces of the ONH and surrounding retina) as measured from SD-OCT at each pixel location was used as the ground truth. A random-forest classifier was trained to output each thickness value from local fundus features pertaining to textural and color information. Eighty-eight image pairs of ONH-centered SD-OCT and registered fundus photographs from different subjects with optic disc swelling were used for training and evaluating the model in a leave-one-subject-out fashion. Comparing the thickness map from the proposed method to the ground truth via SD-OCT, a root-mean-square (RMS) error of 1.66 mm\(^3\) for the entire ONH region was achieved, and Spearman’s correlation coefficient was \(R=0.73\). Regional volumes for the nasal, temporal, inferior, superior, and peripapillary regions had RMS errors of 0.64 mm\(^3\), 0.61 mm\(^3\), 0.74 mm\(^3\), 0.71 mm\(^3\), and 1.30 mm\(^3\), respectively, suggesting that there is enough evidence in a singular color fundus photograph to estimate local swelling information.

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Fußnoten
1
The small sliding window sizes include: \(5\times 5\), \(7\times 7\), \(11\times 11\), \(13\times 13\), \(15\times 15\), \(17\times 17\), \(21\times 21\), \(25\times 25\); the large sliding window sizes include: \(37\times 37\), \(49\times 49\), \(73\times 73\), \(101\times 101\).
 
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Metadaten
Titel
Local Estimation of the Degree of Optic Disc Swelling from Color Fundus Photography
verfasst von
Samuel S. Johnson
Jui-Kai Wang
Mohammad Shafkat Islam
Matthew J. Thurtell
Randy H. Kardon
Mona K. Garvin
Copyright-Jahr
2018
DOI
https://doi.org/10.1007/978-3-030-00949-6_33