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Automatic identification of the temporal retinal nerve fiber raphe from macular cube data.
Bedggood, Phillip; Tanabe, Fumi; McKendrick, Allison M; Turpin, Andrew.
Afiliación
  • Bedggood P; Department of Optometry & Vision Sciences, The University of Melbourne, 3010 Australia; Department of Computing and Information Systems, The University of Melbourne, 3010 Australia.
  • Tanabe F; Department of Ophthalmology, Kinki University Faculty of Medicine, Osaka, Japan.
  • McKendrick AM; Department of Optometry & Vision Sciences, The University of Melbourne, 3010 Australia.
  • Turpin A; Department of Computing and Information Systems, The University of Melbourne, 3010 Australia.
Biomed Opt Express ; 7(10): 4043-4053, 2016 Oct 01.
Article en En | MEDLINE | ID: mdl-27867714
ABSTRACT
We evaluated several approaches for automatic location of the temporal nerve fiber raphe from standard macular cubes acquired on a Heidelberg Spectralis OCT. Macular cubes with B-scan separation of 96-122 µm were acquired from 15 healthy participants, and "high density" cubes with scan separation of 11 µm were acquired from the same eyes. These latter scans were assigned to experienced graders for subjective location of the raphe, providing the ground truth by which to compare methods operating on the lower density data. A variety of OCT scan parameters and image processing strategies were trialed. Vertically oriented scans, purposeful misalignment of the pupil to avoid reflective artifacts, and the use of intensity as opposed to thickness of the nerve fiber layer were all critical to minimize error. The best performing approach "cFan" involved projection of a fan of lines from each of several locations across the foveal pit; in each fan the line of least average intensity was identified. The centroid of the crossing points of these lines provided the raphe orientation with an average error of 1.5° (max = 4.1°) relative to the human graders. The disc-fovea-raphe angle was 172.4 ± 2.3° (range = 168.5-176.2°), which agrees well with other published estimates.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Biomed Opt Express Año: 2016 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Biomed Opt Express Año: 2016 Tipo del documento: Article