6 June 2012 Joint derivation method for determining optical properties based on steady-state spatially resolved diffuse reflectance measurement at small source-detector separations and large reduced albedo range: theory and simulation
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Abstract
Accurate determination of the optical properties (the absorption coefficient μa and the reduced scattering coefficient μs′) of tissues is very important in a variety of diagnostic and therapeutic procedures. Optical diffusion theory is frequently used as the forward model for describing the photon transfer in media with large reduced albedos (a  ′  ) and in large source-detector separations (SDS). Several other methods (PN approximation, hybrid diffusion-P3 approximation) have also been published that describe photon transfer in media with low a  ′   or small SDSs. We studied the theoretical models for the steady-state spatially resolved diffuse reflectance measurement to accurately determine μa and μs′ at large a  ′   range but small SDSs. Instead of using a single model, a joint derivation method is proposed. The developed method uses one of the best aforementioned theoretical methods separately in five ranges of a  ′   determined from several forward models. In the region of small SDSs (the range between 0.4 and 8 mm) and large a  ′   range (between 0.5 and 0.99), the best theoretical derivation model was determined. The results indicate that the joint derivation method can improve the derivation accuracy and that a  ′   range can be determined by the steady-state spatially resolved diffuse reflectance measurement.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE)
Zhenzhi Shi, Zhenzhi Shi, Ying Fan, Ying Fan, Huijuan Zhao, Huijuan Zhao, Kexin Xu, Kexin Xu, } "Joint derivation method for determining optical properties based on steady-state spatially resolved diffuse reflectance measurement at small source-detector separations and large reduced albedo range: theory and simulation," Journal of Biomedical Optics 17(6), 067004 (6 June 2012). https://doi.org/10.1117/1.JBO.17.6.067004 . Submission: Received: 10 November 2011; Accepted: 30 April 2012
Received: 10 November 2011; Accepted: 30 April 2012; Published: 6 June 2012
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