Cone packing measurements from confocal and split-detector adaptive optics images in human eyes

dc.contributor.advisorPorter, Jason
dc.contributor.committeeMemberFrishman, Laura J.
dc.contributor.committeeMemberPatel, Nimesh B.
dc.contributor.committeeMemberCarroll, Joseph
dc.creatorAdhikari, Suman
dc.date.accessioned2020-12-22T18:14:08Z
dc.date.createdAugust 2020
dc.date.issued2020-08
dc.date.submittedAugust 2020
dc.date.updated2020-12-22T18:14:11Z
dc.description.abstractPurpose: Adaptive optics scanning laser ophthalmoscope (AOSLO) imaging has been used to calculate metrics of cone packing in healthy and diseased eyes. However, there is a lack of data comparing metric values obtained using different AOSLO imaging modalities, as well as the impact of different image analysis methods on these metrics. Here, we 1) calculate the longitudinal repeatability of confocal and split-detector AOSLO imaging, 2) compare cone density measurements made using different marking techniques, and 3) compare cone metrics calculated using different region of interest (ROI) sizes. Methods: AOSLO imaging was performed in 10 healthy individuals from the foveal center to 10° in 4 major meridians at baseline and after 12 months. Cone metrics were quantified from confocal and split-detector images over the same retinal patches and compared. Next, cones extracted from simulated and in vivo images from 5 healthy subjects were marked using different techniques. Cone densities were calculated and compared with known densities for simulated data. Coefficients of variation (CVs) were calculated for in vivo data. Finally, square ROIs of different sizes were extracted from simulated and in vivo cone mosaics. Cone metrics were compared between ROI sizes. Results: 1) The mean CVs of density for confocal and split-detector images were 8.4% and 6.2%, respectively. 2) Unbound densities when marking all cones fully inside and partially along the ROI borders were significantly greater (P<0.05) than bound densities. CVs for bound densities tended to be smaller than for unbound densities. 3) CVs for small ROIs were greater across all eccentricities and increased with increasing eccentricity for in vivo data. In simulated data, ROIs of 25μm x 25μm yielded values that were significantly lower than all larger ROI sizes and were closest to simulated values near the foveal center. Conclusions: The intersession repeatability data in healthy human eyes may be used in future longitudinal studies examining diseased eyes. Computing bound cone density provides measurements with greatest accuracy and least variability. For eccentricities close to the fovea, a 25μm x 25μm ROI size provides measurements with greatest accuracy while larger ROI sizes provide lower variability in the periphery.
dc.description.departmentOptometry, College of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10657/7288
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectAdaptive optics
dc.subjectCone photoreceptors
dc.subjectConfocal imaging
dc.subjectSplit detector imaging
dc.subjectRepeatability
dc.subjectRegion of interest
dc.subjectImage analysis
dc.titleCone packing measurements from confocal and split-detector adaptive optics images in human eyes
dc.type.dcmiText
dc.type.genreThesis
local.embargo.lift2022-08-01
local.embargo.terms2022-08-01
thesis.degree.collegeCollege of Optometry
thesis.degree.departmentOptometry, College of
thesis.degree.disciplinePhysiological Optics and Vision Science
thesis.degree.grantorUniversity of Houston
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ADHIKARI-DISSERTATION-2020.pdf
Size:
4.89 MB
Format:
Adobe Portable Document Format

License bundle

Now showing 1 - 2 of 2
No Thumbnail Available
Name:
PROQUEST_LICENSE.txt
Size:
4.43 KB
Format:
Plain Text
Description:
No Thumbnail Available
Name:
LICENSE.txt
Size:
1.81 KB
Format:
Plain Text
Description: