Development of a finger joint phantom for evaluation of frequency domain measurement systems

Uwe J. Netz, Alexander K. Scheel, Jürgen Beuthan, Andreas H. Hielscher

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

    Abstract

    For development and test of new optical imaging devices, phantoms are widely used to emulate the tissue to be imaged. Phantom design gets more difficult the more complex the tissue is structured. We report on developing and testing a solid, stable finger joint phantom to simulate transillumination of finger joints in frequency-domain imaging systems. The phantom consists of the bone, capsule, skin, the capsule volume, and the joint gap. Silicone was used to build the solid parts and a glycerol-water solution for the fluid in the capsule volume and joint gap. The system to test the phantom is an optical frequency-domain scanning set-up. Different stages of joint inflammation as they occur in rheumatoid arthritis (RA) were emulated by assembling the phantom with capsule and fluid having different optical properties. Reliability of the phantom measurement was investigated by repeated assembling. The results show clear discrimination between different stages of joints within the signal deviation due to reassembling of the phantom.

    Original languageEnglish (US)
    Title of host publication28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
    Pages1937-1940
    Number of pages4
    DOIs
    StatePublished - 2006
    Event28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States
    Duration: Aug 30 2006Sep 3 2006

    Publication series

    NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
    ISSN (Print)0589-1019

    Other

    Other28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06
    CountryUnited States
    CityNew York, NY
    Period8/30/069/3/06

    ASJC Scopus subject areas

    • Signal Processing
    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Health Informatics

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