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Proceedings Paper

Glaucoma diagnosis by mapping macula with Fourier domain optical coherence tomography
Author(s): Ou Tan; Ake Lu; Vik Chopra; Rohit Varma; Ishikawa Hiroshi; Joel Schuman; David Huang
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Paper Abstract

A new image segmentation method was developed to detect macular retinal sub-layers boundary on newly-developed Fourier-Domain Optical Coherence Tomography (FD-OCT) with macular grid scan pattern. The segmentation results were used to create thickness map of macular ganglion cell complex (GCC), which contains the ganglion cell dendrites, cell bodies and axons. Overall average and several pattern analysis parameters were defined on the GCC thickness map and compared for the diagnosis of glaucoma. Intraclass correlation (ICC) is used to compare the reproducibility of the parameters. Area under receiving operative characteristic curve (AROC) was calculated to compare the diagnostic power. The result is also compared to the output of clinical time-domain OCT (TD-OCT). We found that GCC based parameters had good repeatability and comparable diagnostic power with circumpapillary nerve fiber layer (cpNFL) thickness. Parameters based on pattern analysis can increase the diagnostic power of GCC macular mapping.

Paper Details

Date Published: 1 April 2008
PDF: 8 pages
Proc. SPIE 6915, Medical Imaging 2008: Computer-Aided Diagnosis, 69153L (1 April 2008); doi: 10.1117/12.769882
Show Author Affiliations
Ou Tan, Keck Medical School, Univ. of Southern California (United States)
Ake Lu, Keck Medical School, Univ. of Southern California (United States)
Vik Chopra, Keck Medical School, Univ. of Southern California (United States)
Rohit Varma, Keck Medical School, Univ. of Southern California (United States)
Ishikawa Hiroshi, School of Medicine, Univ. of Pittsburgh (United States)
Joel Schuman, School of Medicine, Univ. of Pittsburgh (United States)
David Huang, Keck Medical School, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 6915:
Medical Imaging 2008: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

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