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Updated: Feb 25, 2026

Morphometric Analyses of Retinal Sections
Published on: February 19, 2012
Age and Glaucoma-Related Characteristics in Retinal Nerve Fiber Layer and Choroid: Localized Morphometrics and
Sieun Lee1, Morgan L Heisler1, Karteek Popuri1
1Faculty of Applied Sciences, School of Engineering Science, Simon Fraser UniversityBurnaby, BC, Canada.
This study introduces functional shapes (fshape) registration for detailed retinal analysis. Fshape reveals significant thinning in glaucomatous retinal nerve fiber layers and age-related choroidal thinning.
Area of Science:
- Ophthalmology
- Medical Imaging
- Biomedical Engineering
Background:
- Optical coherence tomography (OCT) offers high-resolution 3D retinal imaging.
- Quantitative morphological analysis in retinal diseases is limited by conventional methods.
- Detecting subtle clinical markers in retinal degenerative diseases requires advanced analytical techniques.
Purpose of the Study:
- To present a novel point-wise analysis and visualization method for retinal nerve fiber layer (RNFL) and choroid using functional shapes (fshape) registration.
- To enable detailed spatial analysis of morphometric patterns in retinal layers.
- To compare age- and disease-related differences in RNFL and choroid thickness.
Main Methods:
- Utilized functional shapes (fshape) registration for joint optimization of retinal surface geometry and functional signals.
- Generated group-wise mean RNFL and choroidal surfaces with layer thickness mapping.
- Analyzed differences based on age (younger vs. older normal) and disease (normal vs. glaucomatous).
Main Results:
- Fshape successfully visualized detailed spatial patterns of RNFL thinning in glaucoma, particularly in the inferior region.
- Older normal subjects exhibited significantly thinner choroids across all regions compared to younger subjects.
- Glaucomatous RNFL was most significantly thinner inferiorly, near Bruch's membrane opening.
Conclusions:
- Fshape registration provides a comprehensive and detailed method for analyzing and visualizing morphometric patterns in retinal layers.
- The method enhances spatial sensitivity for detecting subtle changes relevant to retinal diseases like glaucoma.
- This approach offers valuable insights into age- and disease-related structural variations in the posterior eye segment.
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