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

David Orive-Miguel; Lionel Hervé; Jérôme Mars; Laurent Condat; Pierre Jallon

doi:10.1117/12.2526775

11 July 2019 Time-resolved diffuse optical tomography: a novel method to compute datatypes allows better absorption quantification

David Orive-Miguel, Lionel Hervé, Jérôme Mars, Laurent Condat, Pierre Jallon

Author Affiliations +

Proceedings Volume 11074, Diffuse Optical Spectroscopy and Imaging VII; 1107409 (2019) https://doi.org/10.1117/12.2526775
Event: European Conferences on Biomedical Optics, 2019, Munich, Germany

Abstract

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.

Citation Download Citation

David Orive-Miguel, Lionel Hervé, Jérôme Mars, Laurent Condat, and Pierre Jallon "Time-resolved diffuse optical tomography: a novel method to compute datatypes allows better absorption quantification", Proc. SPIE 11074, Diffuse Optical Spectroscopy and Imaging VII, 1107409 (11 July 2019); https://doi.org/10.1117/12.2526775

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