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. Müller, J. Beuthan, A. H. Hielscher

    Research output: Contribution to journalConference articlepeer-review


    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 f 07 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).

    Original languageEnglish (US)
    Article number716915
    JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
    StatePublished - 2009
    EventAdvanced Biomedical and Clinical Diagnostic Systems VII - San Jose, CA, United States
    Duration: Jan 25 2009Jan 26 2009


    • Classification
    • Early detection
    • Frequency domain
    • Multi-parameter
    • Rheumatoid arthritis

    ASJC Scopus subject areas

    • Electronic, Optical and Magnetic Materials
    • Biomaterials
    • Atomic and Molecular Physics, and Optics
    • Radiology Nuclear Medicine and imaging


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