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Proceedings Paper

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

Paper Details

Date Published: 24 February 2009
PDF: 9 pages
Proc. SPIE 7174, Optical Tomography and Spectroscopy of Tissue VIII, 71742B (24 February 2009); doi: 10.1117/12.809409
Show Author Affiliations
Hyun Keol Kim, Columbia Univ. (United States)
Uwe J. Netz, Charité Universitätsmedizin Berlin (Germany)
j. Beuthan, Charité Universitätsmedizin Berlin (Germany)
Andreas H. Hielscher, Columbia Univ. (United States)

Published in SPIE Proceedings Vol. 7174:
Optical Tomography and Spectroscopy of Tissue VIII
Bruce J. Tromberg; Arjun G. Yodh; Mamoru Tamura; Eva M. Sevick-Muraca; Robert R. Alfano, Editor(s)

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