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

doi:10.1117/12.809409

24 February 2009 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

Proceedings Volume 7174, Optical Tomography and Spectroscopy of Tissue VIII; 71742B (2009) https://doi.org/10.1117/12.809409
Event: SPIE BiOS, 2009, San Jose, California, United States

Abstract

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.

Citation Download Citation

Hyun Keol Kim, Uwe J. Netz, j. Beuthan, and Andreas H. Hielscher "Optimal modulation frequencies for small-tissue imaging based on the equation of radiative transfer", Proc. SPIE 7174, Optical Tomography and Spectroscopy of Tissue VIII, 71742B (24 February 2009); https://doi.org/10.1117/12.809409

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