Abstract
Fluorescence Molecular Tomography (FMT) is a powerful optical imaging tool for preclinical research. Especially, its implementation with time-domain (TD) techniques allows lifetime multiplexing for simultaneously imaging multiple biomarkers and provides enhanced data sets for improved resolution and quantification compared to continuous wave (CW) and frequency domain (FD) methodologies. When performing time-domain reconstructions, one important aspect is the selection of a temporal sub-data set. Typically, such selection is performed a posteriori after dense temporal sampling during the acquisition. In this work, we investigate the potential to collect a priori sparse data sets for fast experimental acquisition without compromising FMT performances.
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