US 11,883,128 B2
Multispectral mobile tissue assessment
Karen Michelle Cross, Toronto (CA); and General Leung, Toronto (CA)
Assigned to MIMOSA DIAGNOSTICS INC., Toronto (CA)
Appl. No. 16/327,786
Filed by MIMOSA DIAGNOSTICS INC., Toronto (CA)
PCT Filed Aug. 24, 2017, PCT No. PCT/CA2017/050998
§ 371(c)(1), (2) Date Feb. 22, 2019,
PCT Pub. No. WO2018/035612, PCT Pub. Date Mar. 1, 2018.
Claims priority of provisional application 62/378,939, filed on Aug. 24, 2016.
Prior Publication US 2019/0216326 A1, Jul. 18, 2019
Int. Cl. A61B 5/00 (2006.01); G03B 15/03 (2021.01); G03B 29/00 (2021.01); A61B 5/145 (2006.01); A61B 5/1455 (2006.01); A61B 90/30 (2016.01); A61B 90/00 (2016.01)
CPC A61B 5/0075 (2013.01) [A61B 5/004 (2013.01); A61B 5/14542 (2013.01); A61B 5/14552 (2013.01); A61B 5/445 (2013.01); A61B 5/447 (2013.01); A61B 90/00 (2016.02); A61B 90/30 (2016.02); A61B 90/361 (2016.02); G03B 15/03 (2013.01); G03B 29/00 (2013.01); G03B 2206/00 (2013.01); G03B 2215/0514 (2013.01)] 25 Claims
OG exemplary drawing
 
1. A method for performing remote tissue assessment of a tissue region, wherein the method comprises:
selecting imaging parameters for determining M physiological markers of interest for the tissue region, where the imaging parameters include M discrete unique wavelengths being selected to measure the M physiological markers of interest and to minimize a condition number of an inversion matrix selected based on absorption coefficients of the M physiological markers;
obtaining M image datasets of the tissue region based on a reflectance of the tissue region when the tissue region is illuminated by a light signal having a unique discrete wavelength selected from the M discrete unique wavelengths;
obtaining a reference image dataset of the tissue region when the tissue region is not illuminated;
performing image subtraction between the M image datasets and the reference image dataset to obtain M reflectance datasets;
processing the M reflectance datasets to obtain M marker maps where each marker map corresponds to a different physiological marker, wherein processing the M reflectance datasets comprises determining a reflectance contribution of each of the physiological markers of interest;
and analyzing at least one of the marker maps to determine whether a physiological condition exists at the tissue region or to monitor the status of an existing physiological condition at the tissue region.