Systematically minimizing error sources in double-integrating-sphere measurements

Ran Tao; Janek Gröhl; Sarah E. Bohndiek

doi:10.1117/12.3002983

13 March 2024 Systematically minimizing error sources in double-integrating-sphere measurements

Ran Tao, Janek Gröhl, Sarah E. Bohndiek

Proceedings Volume PC12833, Design and Quality for Biomedical Technologies XVII; PC1283301 (2024) https://doi.org/10.1117/12.3002983
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Double-integrating-sphere (DIS) measurement is a common method for characterizing phantom and tissue optical properties, but can display low accuracy. To investigate the sources of errors, a digital twin based on Monte Carlo simulations and sphere corrections was built. We compared simulation and measurement results of phantoms with known optical properties, and identified error sources. After minimizing these sources, the average errors were reduced to -1% and 2.44% in the absorption and reduced scattering coefficient estimates respectively, highlighting the potential to achieve high accuracy in optical property estimation using a relatively low-cost measurement approach.

Conference Presentation

Citation Download Citation

Ran Tao, Janek Gröhl, and Sarah E. Bohndiek "Systematically minimizing error sources in double-integrating-sphere measurements", Proc. SPIE PC12833, Design and Quality for Biomedical Technologies XVII, PC1283301 (13 March 2024); https://doi.org/10.1117/12.3002983

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