Methods for investigating the local spatial anisotropy and the preferred orientation of cones in adaptive optics retinal images. Vis Neurosci 2016 Jan;33:E005
Date
08/04/2016Pubmed ID
27484961Pubmed Central ID
PMC5068353DOI
10.1017/S0952523816000018Scopus ID
2-s2.0-85020236402 (requires institutional sign-in at Scopus site) 10 CitationsAbstract
The ability to noninvasively image the cone photoreceptor mosaic holds significant potential as a diagnostic for retinal disease. Central to the realization of this potential is the development of sensitive metrics for characterizing the organization of the mosaic. Here we evaluated previously-described and newly-developed (Fourier- and Radon-based) methods of measuring cone orientation in simulated and real images of the parafoveal cone mosaic. The proposed algorithms correlated well across both simulated and real mosaics, suggesting that each algorithm provides an accurate description of photoreceptor orientation. Despite high agreement between algorithms, each performed differently in response to image intensity variation and cone coordinate jitter. The integration property of the Fourier transform allowed the Fourier-based method to be resistant to cone coordinate jitter and perform the most robustly of all three algorithms. Conversely, when there is good image quality but unreliable cone identification, the Radon algorithm performed best. Finally, in cases where the cone coordinate reliability was excellent, the method previously described by Pum and colleagues performed best. These descriptors are complementary to conventional descriptive metrics of the cone mosaic, such as cell density and spacing, and have the potential to aid in the detection of photoreceptor pathology.
Author List
Cooper RF, Lombardo M, Carroll J, Sloan KR, Lombardo GAuthors
Joseph J. Carroll PhD Director, Professor in the Ophthalmology and Visual Sciences department at Medical College of WisconsinRobert F. Cooper Ph.D Assistant Professor in the Biomedical Engineering department at Marquette University
MESH terms used to index this publication - Major topics in bold
AdultAlgorithms
Anisotropy
Cell Count
Diagnostic Imaging
Diagnostic Techniques, Ophthalmological
Female
Fourier Analysis
Humans
Male
Ophthalmoscopy
Retinal Cone Photoreceptor Cells
