Key result
Changes in the size/volume concentration of tissue can be identified from diffuse reflectance measurements at two source detector separations when either fractal dimension or volume concentration is known.
A fractal soft tissue model demonstrates that diffuse reflectance measurements can identify changes in tissue size and volume concentration.
Provides a theoretical basis for non-invasive tissue characterization; leaves open whether.
Employing a fractal model for the particle size distribution, we examine the possibility of relating the size/volume concentration changes in the tissue to its diffuse reflectance. It is noted that for the practically interesting range of fractal dimension values alpha, the curves depicting the variation of diffuse reflectance (the ratio of diffuse reflectance at two suitably chosen source detector separations) with alpha at fixed volume concentration Tv, are single valued. The same is true if alpha is fixed and Tv is varied. This crucial observation shows that it should be possible to identify changes in the size/volume concentration of the tissue from the diffuse reflectance measurement at two source detector separations when either alpha or Tv is a priori known. Similar results have been obtained for ratio of fluence measured at two suitably chosen depths within the tissue.
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Sharma et al. (2005) studied fractal soft tissue model. Fractal model for particle size distribution was evaluated on Diffuse reflectance variation with fractal dimension alpha and volume concentration Tv. Changes in the size/volume concentration of tissue can be identified from diffuse reflectance measurements at two source detector separations when either fractal dimension or volume concentration is known.
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