Multispectral mobile tissue assessment

A system for remote tissue assessment of a tissue region, wherein the system comprises:

• a light source unit for generating a light signal to illuminate the tissue region, the light signal having a unique discrete wavelength selected from M discrete unique wavelengths;
• and
• a mobile device having a camera for obtaining M image datasets of the tissue region based on a reflectance of the tissue region when the tissue region is illuminated by the light signal and obtaining a reference image dataset of the tissue region when the tissue region is not illuminated,
• wherein the system is configured to:
• select imaging parameters for determining the M physiological markers of interest for the tissue region, the M discrete unique wavelengths being selected to measure 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;
• perform image subtraction between the M image datasets the reference image dataset to obtain M reflectance datasets;
• process 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
• analyze 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.

A system for remote tissue assessment of a tissue region, wherein the system comprises:

• a light source unit for generating a light signal to illuminate the tissue region, the light signal having a discrete wavelength selected from M discrete unique wavelengths;
• an optical sensor module for obtaining M image datasets of the tissue region based on a reflectance of the tissue region when the tissue region is illuminated by the light signal and obtaining a reference image dataset of the tissue region when the tissue region is not illuminated, wherein the optical sensor module is in communication with the light source unit;
• and
• a mobile device in communication with the light source unit,
• wherein the system is configured to:
• select imaging parameters for determining the M physiological markers of interest for the tissue region, the imaging parameters including the M discrete unique wavelengths that are selected to measure 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;
• perform image subtraction between the M image datasets the reference image dataset to obtain M reflectance datasets;
• process 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
• analyze 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.