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A Method to Determine the Optimal Number of Measurements for Three-Dimensional Optical Tomography for A Physiologically Realistic Geometry

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Abstract

AEKF (approximate extended Kalman filter) based inversion algorithm is employed to develop a novel optimization criterion for determining optimal locations and the number of boundary measurements for three-dimensional optical image reconstruction. Hemispherical geometry, which is pertinent to breast cancer detection is used.

© 2002 Optical Society of America

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