Showing papers by "Ruikang K. Wang published in 1998"
TL;DR: A novel algorithm is demonstrated for determining the reduced scattering and the absorption coefficients from time-resolved reflectance (or backscatter) measurements at two positions on the surface of biotissue that is straightforward and fast and involves only some simple mathematical operations.
Abstract: After analytical expressions for the time-resolved reflectance are introduced from the diffusion approximation under the three most commonly used boundary conditions, a novel algorithm is demonstrated for determining the reduced scattering and the absorption coefficients from time-resolved reflectance (or backscatter) measurements at two positions on the surface of biotissue. The algorithm is straightforward and fast and involves only some simple mathematical operations, avoiding complicated iterative nonlinear fitting to the time-resolved curve. The derived reduced scattering coefficient is not affected by whatever boundary condition is applied. The algorithm was verified with time-resolved data from the Monte Carlo model. Both a semi-infinite medium and a turbid slab medium were tested. In contrast to the nonlinear fitting method, this algorithm allows both the scattering and the absorption coefficients to be determined to a high accuracy.
19 citations
TL;DR: A simple method to achieve space-variant pattern recognition is proposed with a typical VanderLugt arrangement, in which the input pattern is modulated by a random binary phase function, resulting in higher Horner efficiency.
Abstract: A simple method to achieve space-variant pattern recognition is proposed with a typical VanderLugt arrangement, in which the input pattern is modulated by a random binary phase function. The output correlation location can be programmed into the filter function. With the introduction of random binary phase modulation, the impulse response of either phase-only or binary phase-only filter function is not edge enhanced, resulting in higher Horner efficiency. Computer simulations are conducted to verify the proposed method.
2 citations
13 May 1998
TL;DR: In this article, a fast algorithm was proposed to determine the reduced scattering and absorption coefficients from time-resolved reflectance measurements at two positions on the surface of biotissue.
Abstract: A novel algorithm is demonstrated to determine the reduced scattering and absorption coefficients from time-resolvedreflectance measurements at two positions on the surface of biotissue The algorithm is very straightforward and fast, inwhich only some simple mathematical operations are involved, avoiding complicated iterative non-linear fitting to thetime-resolved curve The derived reduced scattering coefficient is not affected by whatever boundary condition is appliedThe algorithm was verified using the time-resolved data from the Monte-Carlo model Both the semi-infmite medium andthe turbid slab medium were tested In contrast to the non-linear fitting method, it is found using this algorithm that boththe scattering and absorption coefficients can be determined to a high accuracy1 BACKGROUNDDuring the last decade, the application of diffusion theory to radiative transfer has been vigorously explored, particularlywith a view to develop new optical diagnostic method for biological tissue' Photon migration techniques based ondiffusion theory have been used to monitor the absorption and scattering coefficient that reflect the physiological state of