2013
DOI: 10.1167/iovs.13-12575
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Development of a Rat Schematic Eye From In Vivo Biometry and the Correction of Lateral Magnification in SD-OCT Imaging

Abstract: Scaling SD-OCT images with schematic model eyes derived from individual biometric data is important. This approach produces estimates of retinal thickness and optic nerve head size that are in good agreement with previously reported measurements.

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Cited by 54 publications
(47 citation statements)
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“…For example, longer axial length is associated with smaller lateral magnification and should result in a wider area of LSFG imaging. 26 If the image area centered on the ONH is enlarged, the retinal thickness and vascular density decrease, and MBR values may change accordingly. However, as shown in Figure 3, the imaging area of LSFG was almost identical throughout the study period.…”
Section: Discussionmentioning
confidence: 99%
“…For example, longer axial length is associated with smaller lateral magnification and should result in a wider area of LSFG imaging. 26 If the image area centered on the ONH is enlarged, the retinal thickness and vascular density decrease, and MBR values may change accordingly. However, as shown in Figure 3, the imaging area of LSFG was almost identical throughout the study period.…”
Section: Discussionmentioning
confidence: 99%
“…Measured lateral distances might not have been accurate because the ETDRS grid size was established for measurements in human retina, but axial OCT measurements seemed to be accurate. 15…”
Section: Fluorescence Lifetime Imaging Ophthalmoscopementioning
confidence: 99%
“…(Fortune et al, 2011; Gabriele et al, 2011; Gramlich et al, 2014; Guo et al, 2010; Liu et al, 2014; Lozano and Twa, 2013; Nakano et al, 2011; Yang et al, 2012b) OCT measurements of specific inner retinal layer thickness (such as RNFL) in rodents has generally been limited to isolated spatial samples or to single circular B-scans around the ONH. (Abbott et al, 2014a; Abbott et al, 2014b; Chauhan et al, 2012; Choe et al, 2014; Fortune et al, 2011; Guo et al, 2010; Nagata et al, 2009)…”
Section: Introductionmentioning
confidence: 99%