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Diffuse Correlation Tomography Geometry Optimization with Genetic Algorithm Using Singular Value Analysis

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Abstract

Singular value analysis is used to evaluate image resolution in raster scanning remission geometry for diffuse correlation tomography. Effect of scanning density was investigated, and probe geometry was optimized using genetic algorithm.

© 2018 The Author(s)

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