Paper
23 February 2009 Computer-aided classification of rheumatoid arthritis in finger joints using frequency domain optical tomography
C. D. Klose, H. K. Kim, U. Netz, S. Blaschke, P. A. Zwaka, G. A. Mueller, J. Beuthan, A. H. Hielscher
Author Affiliations +
Abstract
Novel methods that can help in the diagnosis and monitoring of joint disease are essential for efficient use of novel arthritis therapies that are currently emerging. Building on previous studies that involved continuous wave imaging systems we present here first clinical data obtained with a new frequency-domain imaging system. Three-dimensional tomographic data sets of absorption and scattering coefficients were generated for 107 fingers. The data were analyzed using ANOVA, MANOVA, Discriminant Analysis DA, and a machine-learning algorithm that is based on self-organizing mapping (SOM) for clustering data in 2-dimensional parameter spaces. Overall we found that the SOM algorithm outperforms the more traditional analysis methods in terms of correctly classifying finger joints. Using SOM, healthy and affected joints can now be separated with a sensitivity of 0.97 and specificity of 0.91. Furthermore, preliminary results suggest that if a combination of multiple image properties is used, statistical significant differences can be found between RA-affected finger joints that show different clinical features (e.g. effusion, synovitis or erosion).
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
C. D. Klose, H. K. Kim, U. Netz, S. Blaschke, P. A. Zwaka, G. A. Mueller, J. Beuthan, and A. H. Hielscher "Computer-aided classification of rheumatoid arthritis in finger joints using frequency domain optical tomography", Proc. SPIE 7169, Advanced Biomedical and Clinical Diagnostic Systems VII, 716915 (23 February 2009); https://doi.org/10.1117/12.810939
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Cited by 2 scholarly publications.
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KEYWORDS
Absorption

Statistical analysis

Machine learning

Imaging systems

Tomography

Feature extraction

Optical tomography

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