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Journal of Biomedical Optics

Computer-aided diagnosis of rheumatoid arthritis with optical tomography, Part 2: image classification
Author(s): Ludguier D. Montejo; Jingfei Jia; Hyun K. Kim; Uwe J. Netz; Sabine Blaschke; Gerhard A. Mueller; Andreas H. Hielscher
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Paper Abstract

This is the second part of a two-part paper on the application of computer-aided diagnosis to diffuse optical tomography (DOT) for diagnosing rheumatoid arthritis (RA). A comprehensive analysis of techniques for the classification of DOT images of proximal interphalangeal joints of subjects with and without RA is presented. A method for extracting heuristic features from DOT images was presented in Part 1. The ability of five classification algorithms to accurately label each DOT image as belonging to a subject with or without RA is analyzed here. The algorithms of interest are the k -nearest-neighbors, linear and quadratic discriminant analysis, self-organizing maps, and support vector machines (SVM). With a polynomial SVM classifier, we achieve 100.0% sensitivity and 97.8% specificity. Lower bounds for these results (at 95.0% confidence level) are 96.4% and 93.8%, respectively. Image features most predictive of RA are from the spatial variation of optical properties and the absolute range in feature values. The optimal classifiers are low-dimensional combinations (<7 features). These results underscore the high potential for DOT to become a clinically useful diagnostic tool and warrant larger prospective clinical trials to conclusively demonstrate the ultimate clinical utility of this approach.

Paper Details

Date Published: 15 July 2013
PDF: 12 pages
J. Biomed. Opt. 18(7) 076002 doi: 10.1117/1.JBO.18.7.076002
Published in: Journal of Biomedical Optics Volume 18, Issue 7
Show Author Affiliations
Ludguier D. Montejo, Columbia Univ. (United States)
Jingfei Jia, Columbia Univ. (United States)
Hyun K. Kim, Columbia Univ. (United States)
Uwe J. Netz, Laser- und Medizin-Technologie GmbH, Berlin (Germany)
Sabine Blaschke, Georg-August-Univ. Göttingen (Germany)
Gerhard A. Mueller, Georg-August-Univ. Göttingen (Germany)
Andreas H. Hielscher, Columbia Univ. (United States)


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