Focal Edge Association to Glaucoma Diagnosis

Focal Edge Association to Glaucoma Diagnosis
Title:
Focal Edge Association to Glaucoma Diagnosis
Other Titles:
2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC
DOI:
10.1109/IEMBS.2011.6091111
Keywords:
Publication Date:
30 August 2011
Citation:
Jun Cheng; Jiang Liu; Wong, D.W.K.; Ngan Meng Tan; Beng Hai Lee; Cheung, C.; Baskaran, M.; Tien Yin Wong; Tin Aung, "Focal edge association to glaucoma diagnosis," Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE , vol., no., pp.4481,4484, Aug. 30 2011-Sept. 3 2011 doi: 10.1109/IEMBS.2011.6091111
Abstract:
Glaucoma is an optic nerve disease resulting in the loss of vision. There are two common types of glaucoma: open angle glaucoma and angle closure glaucoma. Glaucoma type classification is important in glaucoma diagnosis. Clinically, ophthalmologists examine the iridocorneal angle between iris and cornea to determine the glaucoma type as well as the degree of closure. However, manual grading of the iridocorneal angle images is subjective and often time consuming. In this paper, we propose focal edge for automated iridocorneal angle grading. The iris surface is located to determine focal region and focal edges. The association between focal edges and angle grades is built through machine learning. A modified grading system with three grades is adopted. The experimental results show that the proposed method can correctly classify 87.3% open angle and 88.4% closed angle. Moreover, it can correctly classify 75.0% grade 1 and 77.4% grade 0 for angle closure cases. P
License type:
PublisherCopyrights
Funding Info:
Description:
ISSN:
1557-170X
ISBN:
978-1-4244-4121-1
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