Glaucoma diagnosis by mapping macula with fourier domain optical coherence tomography

Ou Tan; Ake Lu; Vik Chopra; Rohit Vanna; Ishikawa Hiroshi; Joel Schuman; David Huang

doi:10.1117/12.769882

Glaucoma diagnosis by mapping macula with fourier domain optical coherence tomography

Ou Tan, Ake Lu, Vik Chopra, Rohit Vanna, Ishikawa Hiroshi, Joel Schuman, David Huang

Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Medical Imaging 2008 - Computer-Aided Diagnosis
DOIs	https://doi.org/10.1117/12.769882
State	Published - 2008
Event	Medical Imaging 2008 - Computer-Aided Diagnosis - San Diego, CA, United States Duration: Feb 19 2008 → Feb 21 2008

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	6915
ISSN (Print)	1605-7422

Conference

Conference	Medical Imaging 2008 - Computer-Aided Diagnosis
Country/Territory	United States
City	San Diego, CA
Period	2/19/08 → 2/21/08

Keywords

Fourier-domain optical coherence tomography
Ganglion cell complex
Glaucoma
Image segmentation
Macular mapping
Pattern analysis

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Biomaterials
Radiology Nuclear Medicine and imaging

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10.1117/12.769882

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Tan, O, Lu, A, Chopra, V, Vanna, R, Hiroshi, I, Schuman, J & Huang, D 2008, Glaucoma diagnosis by mapping macula with fourier domain optical coherence tomography. in Medical Imaging 2008 - Computer-Aided Diagnosis., 69153L, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 6915, Medical Imaging 2008 - Computer-Aided Diagnosis, San Diego, CA, United States, 2/19/08. https://doi.org/10.1117/12.769882

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title = "Glaucoma diagnosis by mapping macula with fourier domain optical coherence tomography",

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.",

keywords = "Fourier-domain optical coherence tomography, Ganglion cell complex, Glaucoma, Image segmentation, Macular mapping, Pattern analysis",

author = "Ou Tan and Ake Lu and Vik Chopra and Rohit Vanna and Ishikawa Hiroshi and Joel Schuman and David Huang",

year = "2008",

doi = "10.1117/12.769882",

language = "English (US)",

isbn = "9780819470997",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

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AU - Tan, Ou

AU - Lu, Ake

AU - Chopra, Vik

AU - Vanna, Rohit

AU - Hiroshi, Ishikawa

AU - Schuman, Joel

AU - Huang, David

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

KW - Fourier-domain optical coherence tomography

KW - Ganglion cell complex

KW - Glaucoma

KW - Image segmentation

KW - Macular mapping

KW - Pattern analysis

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M3 - Conference contribution

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SN - 9780819470997

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Medical Imaging 2008 - Computer-Aided Diagnosis

T2 - Medical Imaging 2008 - Computer-Aided Diagnosis

Y2 - 19 February 2008 through 21 February 2008

ER -

Glaucoma diagnosis by mapping macula with fourier domain optical coherence tomography

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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