Time-resolved diffuse optical tomography: a novel method to compute datatypes allows better absorption quantification

Diffuse optical tomography (DOT) estimates the optical properties inside a turbid medium by injecting light from the surface and measuring the reflected photons. In time-resolved technology, since to perform DOT reconstruction at time domain is too computationally expensive, datatypes are used instead. Temporal windows are the most used datatypes but until now just w(t) = tⁿe-^pt forms could be computed fast. In this work, we propose a new method to compute efficiently a larger set of window datatypes. The results show that with these new windows (1) the localization of inclusions deeper than 2.5 cm is improved and (2) the absorption quantification is ameliorated at all inclusion depths.