Multi-parameter optical image interpretations based on self-organizing mapping

Christian D. Klose, A. K. Klose, U. Netz, A. Scheel, J. Beuthan, Andreas H. Hielscher

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We found that using more than one parameter derived from optical tomographic images can lead to better image classification results compared to cases when only one parameter is used.. In particular we present a multi-parameter classification approach, called self-organizing mapping (SOM), for detecting synovitis in arthritic finger joints based on sagittal laser optical tomography (SLOT). This imaging modality can be used to determine various physical parameters such as minimal absorption and scattering coefficients in an image of the proximal interphalengeal joint. Results were compared to different gold standards: magnet resonance imaging, ultra-sonography and clinical evaluation. When compared to classifications based on single-parameters, e.g., absorption minimum only, the study reveals that multi-parameter classifications lead to higher classification sensitivities and specificities and statistical significances with p-values <5 per cent. Finally, the data suggest that image analyses are more reliable and avoid ambiguous interpretations when using more than one parameter.

    Original languageEnglish (US)
    Title of host publicationMultimodal Biomedical Imaging III
    DOIs
    StatePublished - 2008
    EventMultimodal Biomedical Imaging III - San Jose, CA, United States
    Duration: Jan 19 2008Jan 21 2008

    Publication series

    NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
    Volume6850
    ISSN (Print)1605-7422

    Conference

    ConferenceMultimodal Biomedical Imaging III
    CountryUnited States
    CitySan Jose, CA
    Period1/19/081/21/08

    Keywords

    • Artificial Intelligence
    • Classification
    • Optical Tomographic Imaging
    • Self-Organizing Maps

    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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