US 11,815,454 B2
Method and system for optimizing Monte Carlo simulations for diffuse reflectance spectroscopy
Sreejith Kallummil, Bangalore (IN); Sujit Jos, Bangalore (IN); Ibrahim A, Bangalore (IN); Ka Ram Choi, Suwon-si (KR); and Sang Kyu Kim, Suwon-si (KR)
Assigned to SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed by SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed on Feb. 26, 2021, as Appl. No. 17/187,141.
Claims priority of application No. 202041013480 (IN), filed on Mar. 27, 2020; and application No. 10-2020-0164508 (KR), filed on Nov. 30, 2020.
Prior Publication US 2021/0302310 A1, Sep. 30, 2021
Int. Cl. G01N 21/47 (2006.01); G06T 7/00 (2017.01); G06N 20/00 (2019.01); A61B 5/145 (2006.01)
CPC G01N 21/4738 (2013.01) [A61B 5/14532 (2013.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01)] 14 Claims
OG exemplary drawing
 
1. A method of transforming Monte Carlo (MC) simulations for diffuse reflectance spectroscopy (DRS), the method comprising:
obtaining, by a DRS device, MC simulated DRS measurements using a pre-defined number of photons;
pre-processing, by the DRS device, the MC simulated DRS measurements to obtain normalized DRS measurements;
correcting, by the DRS device, non-monotonicity of the normalized DRS measurements to obtain monotonic DRS measurements;
converting, by the DRS device, the monotonic DRS measurements to a logarithmic domain to obtain logarithmic DRS measurements;
performing, by the DRS device, curve fitting on the logarithmic DRS measurements in the logarithmic domain to obtain curve-fitted logarithmic DRS measurements; and
transforming, by the DRS device, the curve-fitted logarithmic DRS measurements to a non-logarithmic domain to obtain transformed MC simulated DRS measurements,
wherein the correcting of non-monotonicity of the normalized DRS measurements is performed using an isotonic regression technique.