Abstract
An automated system for near-infrared tomographic reconstruction imaging has been developed and is under investigation on phantoms and tissues. Calibration of measured data with the model-based image reconstruction approach is found to be critical but readily accomplished through automated parameter estimation using data collected in a homogenous reference medium. Results from phantom experiments also illustrate the importance of employing iterative (nonlinear) image reconstruction methods if quantitative values of the absorption coefficient are to be recovered. Initial studies on imaging human tissues will be discussed in this report.
© 1998 Optical Society of America
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