Optimal modulation frequencies for small-tissue imaging based on the equation of radiative transfer

Hyun Keol Kim, Uwe J. Netz, J. Beuthan, Andreas H. Hielscher

    Research output: Contribution to journalConference articlepeer-review


    The frequency-domain experimental data is typically corrupted by noise and the measurement accuracy is compromised. Assuming the widely used shot-noise model, it is well-known that the signal-to-noise ratio (SNR) of the amplitude signal decreases with increasing frequency, whereas the SNR of phase measurement reaches a peak value in the range between 400 MHz and 800 MHz in tissue volumes typical for small animal imaging studies. As a consequence, it can be assumed that there exists an optimal frequency for which the reconstruction accuracy would be best. To determine optimal frequencies for FDOT, we investigate here the frequency dependence of optical tomographic reconstruction results using the frequency-domain equation of radiative transfer. We present numerical and experimental studies with a focus on small tissue geometries as encountered in small animal imaging and imaging of human finger joints affected by arthritis. Best results were achieved in the 400-800 MHz frequency range, depending on the particular optical properties.

    Original languageEnglish (US)
    Article number71742B
    JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
    StatePublished - 2009
    EventOptical Tomography and Spectroscopy of Tissue VIII - San Jose, CA, United States
    Duration: Jan 25 2009Jan 27 2009


    • Frequency-domain
    • Optical frequency
    • Reconstruction quality
    • SNR analysis
    • Shot-noise model

    ASJC Scopus subject areas

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


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