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Proceedings Paper

Toward automatic phenotyping of retinal images from genetically determined mono- and dizygotic twins using amplitude modulation-frequency modulation methods
Author(s): P. Soliz; B Davis; V. Murray; M. Pattichis; S. Barriga; S. Russell
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Paper Abstract

This paper presents an image processing technique for automatically categorize age-related macular degeneration (AMD) phenotypes from retinal images. Ultimately, an automated approach will be much more precise and consistent in phenotyping of retinal diseases, such as AMD. We have applied the automated phenotyping to retina images from a cohort of mono- and dizygotic twins. The application of this technology will allow one to perform more quantitative studies that will lead to a better understanding of the genetic and environmental factors associated with diseases such as AMD. A method for classifying retinal images based on features derived from the application of amplitude-modulation frequency-modulation (AM-FM) methods is presented. Retinal images from identical and fraternal twins who presented with AMD were processed to determine whether AM-FM could be used to differentiate between the two types of twins. Results of the automatic classifier agreed with the findings of other researchers in explaining the variation of the disease between the related twins. AM-FM features classified 72% of the twins correctly. Visual grading found that genetics could explain between 46% and 71% of the variance.

Paper Details

Date Published: 9 March 2010
PDF: 11 pages
Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 76243F (9 March 2010); doi: 10.1117/12.844199
Show Author Affiliations
P. Soliz, VisionQuest Biomedical, LLC (United States)
Univ. of Iowa (United States)
The Univ. of New Mexico (United States)
B Davis, VisionQuest Biomedical, LLC (United States)
V. Murray, The Univ. of New Mexico (United States)
M. Pattichis, The Univ. of New Mexico (United States)
S. Barriga, VisionQuest Biomedical, LLC (United States)
S. Russell, The Univ. of Iowa (United States)


Published in SPIE Proceedings Vol. 7624:
Medical Imaging 2010: Computer-Aided Diagnosis
Nico Karssemeijer; Ronald M. Summers, Editor(s)

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