Detection and phenotyping of retinal disease using AM-FM processing for feature extraction

C Agurto; S Murillo; V Murray; M Pattichis; S Russell; M Abramoff; P Soliz

doi:10.1109/ACSSC.2008.5074489

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Conference proceeding

Detection and phenotyping of retinal disease using AM-FM processing for feature extraction

C Agurto, S Murillo, V Murray, M Pattichis, S Russell, M Abramoff and P Soliz

2008 42nd Asilomar Conference on Signals, Systems and Computers, pp.659-663

10/2008

DOI: 10.1109/ACSSC.2008.5074489

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Abstract

We present the application of an Amplitude-Modulation Frequency-Modulation (AM-FM) method for extracting potentially relevant features towards the classification of diseased retinas from healthy retinas. In terms of AM-FM features, we use histograms of the instantaneous amplitude, the angle of the instantaneous frequency and the magnitude of the instantaneous frequency extracted over different frequency scales. To classify the AM-FM features, we use a combination of a clustering method and Partial Least Squares (PLS). Using 18 images from each of the four risk levels, three experiments were performed to test the algorithm's ability to differentiate the controls (Risk 0) from each of the three levels of pathology, i.e. Risk 1, Risk 2, and Risk 3. For Risk 0 versus Risk 3 an area under the receiver operating system (AROC) of 0.99 was achieved with a best sensitivity of 100% and a specificity of 95%. For Risk 0 versus Risk 2, the AROC was 0.96 with 94% sensitivity and 85% specificity. For Risk 0 versus Risk 1, the AROC was 0.93 and a sensitivity/specificity of 94%/67%.

Performance evaluation

Histograms

Clustering methods

Clustering algorithms

Retina

Feature extraction

Frequency

Least squares methods

Diseases

Testing

Details

Title: Subtitle: Detection and phenotyping of retinal disease using AM-FM processing for feature extraction
Creators: C Agurto - Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM
S Murillo - Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM
V Murray - Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM
M Pattichis - Dept. of Electr. & Comput. Eng., Univ. of New Mexico, Albuquerque, NM
S Russell
M Abramoff
P Soliz
Resource Type: Conference proceeding
Publication Details: 2008 42nd Asilomar Conference on Signals, Systems and Computers, pp.659-663
Publisher: IEEE
DOI: 10.1109/ACSSC.2008.5074489
ISSN: 1058-6393
eISSN: 2576-2303
Language: English
Date published: 10/2008
Academic Unit: Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering; Ophthalmology and Visual Sciences; Fraternal Order of Eagles Diabetes Research Center
Record Identifier: 9984061093202771

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