Paper
25 March 2013 Evaluation of Fourier transform coefficients for the diagnosis of rheumatoid arthritis from diffuse optical tomography images
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Abstract
We apply the Fourier Transform to absorption and scattering coefficient images of proximal interphalangeal (PIP) joints and evaluate the performance of these coefficients as classifiers using receiver operator characteristic (ROC) curve analysis. We find 25 features that yield a Youden index over 0.7, 3 features that yield a Youden index over 0.8, and 1 feature that yields a Youden index over 0.9 (90.0% sensitivity and 100% specificity). In general, scattering coefficient images yield better one-dimensional classifiers compared to absorption coefficient images. Using features derived from scattering coefficient images we obtain an average Youden index of 0.58 ± 0.16, and an average Youden index of 0.45 ± 0.15 when using features from absorption coefficient images.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ludguier D. Montejo, Jingfei Jia, Hyun K. Kim, and Andreas H. Hielscher "Evaluation of Fourier transform coefficients for the diagnosis of rheumatoid arthritis from diffuse optical tomography images", Proc. SPIE 8578, Optical Tomography and Spectroscopy of Tissue X, 85781N (25 March 2013); https://doi.org/10.1117/12.2004846
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KEYWORDS
Scattering

Absorption

Feature extraction

Fourier transforms

Diffuse optical tomography

Diagnostics

Image processing

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