Automated detection of the foveal center improves SD-OCT measurements of central retinal thickness.

Fenghua Wang; Giovanni Gregori; Philip J. Rosenfeld; Brandon J. Lujan; Mary K. Durbin; Homayoun Bagherinia

doi:10.3928/15428877-20121001-06

Automated detection of the foveal center improves SD-OCT measurements of central retinal thickness.

Fenghua Wang, Giovanni Gregori, Philip J. Rosenfeld, Brandon J. Lujan, Mary K. Durbin, Homayoun Bagherinia

Research output: Contribution to journal › Article › peer-review

15 Scopus citations

Abstract

To investigate the performance of an automated foveal center detection algorithm on spectral-domain optical coherence tomography (SD-OCT). Fifty normal eyes and 50 eyes with early stage dry age-related macular degeneration (AMD) were analyzed. The actual scan center (SC), automatically detected foveal center (AF), and manually identified foveal center (MF) were compared. The mean of the radial distances was 89 ± 120 μm from MF to SC and 54 ± 41 μm from MF to AF for normal eyes and 179 ± 125 μm from SC to MF and 104 ± 62 μm from AF to MF for eyes with AMD. The differences were statistically significant (P < .001). The automated algorithm designed to detect the foveal center was more accurate in detecting the foveal center than relying on the fixation target of the SD-OCT instrument.

Original language	English (US)
Pages (from-to)	S32-37
Journal	Unknown Journal
Volume	43
Issue number	6 Suppl
DOIs	https://doi.org/10.3928/15428877-20121001-06
State	Published - 2012
Externally published	Yes

ASJC Scopus subject areas

Surgery
Ophthalmology

Access to Document

10.3928/15428877-20121001-06

Cite this

@article{6cddb061efb44d8c996f72bc02e992c9,

title = "Automated detection of the foveal center improves SD-OCT measurements of central retinal thickness.",

abstract = "To investigate the performance of an automated foveal center detection algorithm on spectral-domain optical coherence tomography (SD-OCT). Fifty normal eyes and 50 eyes with early stage dry age-related macular degeneration (AMD) were analyzed. The actual scan center (SC), automatically detected foveal center (AF), and manually identified foveal center (MF) were compared. The mean of the radial distances was 89 ± 120 μm from MF to SC and 54 ± 41 μm from MF to AF for normal eyes and 179 ± 125 μm from SC to MF and 104 ± 62 μm from AF to MF for eyes with AMD. The differences were statistically significant (P < .001). The automated algorithm designed to detect the foveal center was more accurate in detecting the foveal center than relying on the fixation target of the SD-OCT instrument.",

author = "Fenghua Wang and Giovanni Gregori and Rosenfeld, {Philip J.} and Lujan, {Brandon J.} and Durbin, {Mary K.} and Homayoun Bagherinia",

year = "2012",

doi = "10.3928/15428877-20121001-06",

language = "English (US)",

volume = "43",

pages = "S32--37",

journal = "Indian Journal of Rheumatology",

issn = "0973-3698",

publisher = "Elsevier (Singapore) Pte Ltd",

number = "6 Suppl",

}

TY - JOUR

T1 - Automated detection of the foveal center improves SD-OCT measurements of central retinal thickness.

AU - Wang, Fenghua

AU - Gregori, Giovanni

AU - Rosenfeld, Philip J.

AU - Lujan, Brandon J.

AU - Durbin, Mary K.

AU - Bagherinia, Homayoun

PY - 2012

Y1 - 2012

N2 - To investigate the performance of an automated foveal center detection algorithm on spectral-domain optical coherence tomography (SD-OCT). Fifty normal eyes and 50 eyes with early stage dry age-related macular degeneration (AMD) were analyzed. The actual scan center (SC), automatically detected foveal center (AF), and manually identified foveal center (MF) were compared. The mean of the radial distances was 89 ± 120 μm from MF to SC and 54 ± 41 μm from MF to AF for normal eyes and 179 ± 125 μm from SC to MF and 104 ± 62 μm from AF to MF for eyes with AMD. The differences were statistically significant (P < .001). The automated algorithm designed to detect the foveal center was more accurate in detecting the foveal center than relying on the fixation target of the SD-OCT instrument.

AB - To investigate the performance of an automated foveal center detection algorithm on spectral-domain optical coherence tomography (SD-OCT). Fifty normal eyes and 50 eyes with early stage dry age-related macular degeneration (AMD) were analyzed. The actual scan center (SC), automatically detected foveal center (AF), and manually identified foveal center (MF) were compared. The mean of the radial distances was 89 ± 120 μm from MF to SC and 54 ± 41 μm from MF to AF for normal eyes and 179 ± 125 μm from SC to MF and 104 ± 62 μm from AF to MF for eyes with AMD. The differences were statistically significant (P < .001). The automated algorithm designed to detect the foveal center was more accurate in detecting the foveal center than relying on the fixation target of the SD-OCT instrument.

UR - http://www.scopus.com/inward/record.url?scp=84885607513&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84885607513&partnerID=8YFLogxK

U2 - 10.3928/15428877-20121001-06

DO - 10.3928/15428877-20121001-06

M3 - Article

C2 - 23357322

AN - SCOPUS:84885607513

VL - 43

SP - S32-37

JO - Indian Journal of Rheumatology

JF - Indian Journal of Rheumatology

SN - 0973-3698

IS - 6 Suppl

ER -

Automated detection of the foveal center improves SD-OCT measurements of central retinal thickness.

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this