Abstract
Early detection and treatment are key in limiting vision loss from glaucoma, the second leading cause of blindness worldwide. Morphological alteration of the optic nerve head (ONH), detectable early in the condition, is a key clinical indicator. The mainstay for evaluation in clinics is the subjective assessment of stereoscopic ONH images. If quantitative diagnostic devices, which extract 3D information and use this to make an objective assessment, could be made affordable, it could mean greater diagnostic capability in primary/community care. A potentially cost-effective solution is to extract, using computer stereo vision, 3D information from stereo images obtained through a slit lamp, a mainstay of eye diagnostics, present in practically all ophthalmology and optometry practices. This work shows 3D ONH reconstruction in an eye phantom through a common slit lamp fitted with low cost cameras. Quantitative reconstructions, in close agreement with ground truths, were obtained.
Original language | English |
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Title of host publication | 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
Publisher | IEEE |
Pages | 4717-4720 |
Number of pages | 4 |
ISBN (Electronic) | 9781538613115 |
ISBN (Print) | 9781538613122 |
DOIs | |
Publication status | Published - 7 Oct 2019 |
Event | 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019: “Biomedical engineering ranging from wellness to intensive care” - Berlin, Germany Duration: 23 Jul 2019 → 27 Jul 2019 Conference number: 41 https://embc.embs.org/2019/ |
Publication series
Name | Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) |
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ISSN (Print) | 1557-170X |
ISSN (Electronic) | 1558-4615 |
Conference
Conference | 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 |
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Abbreviated title | EMBC 2019 |
Country/Territory | Germany |
City | Berlin |
Period | 23/07/19 → 27/07/19 |
Internet address |
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics