Book chapter
Local Estimation of the Degree of Optic Disc Swelling from Color Fundus Photography
Computational Pathology and Ophthalmic Medical Image Analysis, pp.277-284
Lecture Notes in Computer Science, Springer International Publishing
09/14/2018
DOI: 10.1007/978-3-030-00949-6_33
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 mm3\documentclass[12pt]{minimal}
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Details
- Title: Subtitle
- Local Estimation of the Degree of Optic Disc Swelling from Color Fundus Photography
- Creators
- Samuel S Johnson - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, USAJui-Kai Wang - Iowa City VA Health Care System, Iowa City, USAMohammad Shafkat Islam - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, USAMatthew J Thurtell - Department of Ophthalmology and Visual Sciences, The University of Iowa, Iowa City, USARandy H Kardon - Department of Ophthalmology and Visual Sciences, The University of Iowa, Iowa City, USAMona K Garvin - Iowa City VA Health Care System, Iowa City, USA
- Resource Type
- Book chapter
- Publication Details
- Computational Pathology and Ophthalmic Medical Image Analysis, pp.277-284
- Publisher
- Springer International Publishing; Cham
- Series
- Lecture Notes in Computer Science
- DOI
- 10.1007/978-3-030-00949-6_33
- eISSN
- 1611-3349
- ISSN
- 0302-9743
- Language
- English
- Date published
- 09/14/2018
- Academic Unit
- Neurology; Ophthalmology and Visual Sciences; Electrical and Computer Engineering; Iowa Neuroscience Institute
- Record Identifier
- 9984070996402771
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