System and method for intraoperative, non-invasive nerve identification using snapshot polarimetry
The present disclosure relates to non-invasive nerve identification using snapshot polarimetry. The present disclosure further relates to a system for nerve identification, the system comprising a camera including a sensor, and a filter having a linear polarizer array, an illumination system configured to illuminate a target area with polarized light illumination, the polarized light illumination having at least one predetermined polarization angle, the illumination system including one more light sources, and one or more polarizer filters, and a processor configured to process imaging data obtained from the camera, and output a birefringence map of the target area including indicia of a nerve structure.
1 . A system for nerve identification, the system comprising:
a camera including
a sensor, and
a filter having a linear polarizer array;
an illumination system configured to illuminate a target area with polarized light illumination, the polarized light illumination having a plurality of predetermined light polarization angles, the illumination system including
one more light sources, and
one or more polarizer filters; and
a processor configured to
process imaging data obtained from the camera, and
output a birefringence map of the target area including indicia of a nerve structure, wherein
the linear polarizer array includes a repeating grid of linear polarizers,
a first linear polarizer in each grid has a first angle of axis of 0°, a second linear polarizer in each grid has a second angle of axis of 45°, a third linear polarizer in each grid has a third angle of axis of 90°, and a fourth linear polarizer in each grid has a fourth angle of axis of 135°,
the plurality of predetermined light polarization angles include a first predetermined light polarization angle, a second predetermined light polarization angle, and a third predetermined light polarization angle, and
the first predetermined light polarization angle, the second predetermined light polarization angle, and the third predetermined light polarization angle each correspond to an angle of axis selected from 0°, 45°, and 90°, which are each angles of axis of the linear polarizer array.
2 . The system of claim 1 , wherein the filter and the sensor are aligned and every predetermined number of pixels of the sensor overlays a predetermined number of linear polarizers of the linear polarizer array.
3 . The system of claim 2 , wherein the predetermined number of pixels is four.
4 . The system of claim 1 , wherein each of the one or more polarizer filters is a linear polarizer coupled to a motorized rotator, the motorized rotator being configured to rotate the linear polarizer at a predetermined rate.
5 . The system of claim 4 , wherein the camera is configured to obtain at least three shots of the target area, each associated with a position of the linear polarizer.
6 . The system of claim 1 , wherein each of the one or more polarizer filters is a linear polarizer with a fixed polarization angle.
7 . The system of claim 1 , wherein the one or more light sources are configured to emit light having a wavelength between 400 nm and 2500 nm.
8 . The system of claim 1 , wherein the processor is further configured to
determine a Mueller matrix associated with each predetermined light polarization angle based on the imaging data,
determine a phase retardance based on the Mueller matrix, and
determine the birefringence map based on the phase retardance.
9 . A method for nerve identification using a system that includes a camera including a sensor, and a filter having a linear polarizer array, an illumination system configured to illuminate a target area with polarized light illumination, the polarized light illumination having a plurality of predetermined light polarization angles, the illumination system including one or more light sources, and one or more polarizer filters, the method comprising:
processing imaging data obtained from the camera; and
outputting a birefringence map of the target area including indicia of a nerve structure, wherein
the linear polarizer array includes a repeating grid of linear polarizers,
a first linear polarizer in each grid has a first angle of axis of 0°, a second linear polarizer in each grid has a second angle of axis of 45°, a third linear polarizer in each grid has a third angle of axis of 90°, and a fourth linear polarizer in each grid has a fourth angle of axis of 135°,
the plurality of predetermined light polarization angles include a first predetermined light polarization angle, a second predetermined light polarization angle, and a third predetermined light polarization angle, and
the first predetermined light polarization angle, the second predetermined light polarization angle, and the third predetermined light polarization angle each correspond
corresponds to an angle of axis selected from 0°, 45°, and 90°, which are each angles of axis of the linear polarizer array.
10 . The method of claim 9 , wherein the filter and the sensor are aligned and every predetermined number of pixels of the sensor overlays a predetermined number of linear polarizers of the linear polarizer array.
11 . The method of claim 10 , wherein the predetermined number of pixels is four.
12 . The method of claim 9 , wherein the each of the one or more polarizer filters is a linear polarizer coupled to a motorized rotator, the motorized rotator being configured to rotate the linear polarizer at a predetermined rate.
13 . The method of claim 12 , wherein the camera is configured to obtain at least three shots of the target area, each associated with a position of the linear polarizer.
14 . The method of claim 9 , wherein each of the one or more polarizer filters is a linear polarizer with a fixed polarization angle.
15 . The method of claim 9 , wherein the one or more light sources are configured to emit light having a wavelength between 400 nm and 2500 nm.
16 . The method of claim 15 , further comprising
automatically adjusting the wavelength of the one or more light sources based on lighting conditions.
17 . The method of claim 9 , further comprising
determining a Mueller matrix associated with each predetermined polarization angle based on the imaging data,
determining a phase retardance based on the Mueller matrix, and
determining the birefringence map based on the phase retardance.
18 . A method for nerve identification, the method comprising:
obtaining raw polarimetric data from a target area associated with each of a plurality of illumination polarizations;
converting the raw polarimetric data into a birefringence map; and
outputting a graphical representation of the birefringence map, wherein
the raw polarimetric data includes pixels arranged in repeating grids,
a first pixel in each grid is associated with a first linear polarization of 0°, a second pixel in each grid is associated with a second linear polarization of 45°, a third pixel in each grid is associated with a second linear polarization of 90°, and a fourth pixel in each grid is associated with a fourth linear polarization of 135°,
the plurality of illumination polarizations includes a first illumination polarization angle, a second illumination polarization angle, and a third illumination polarization angle, and
the first illumination polarization angle, the second illumination polarization angle, and the third illumination polarization angle each correspond to an angle of axis selected from 0°, 45°, and 90°, which are each an angle of axis of a pixel in each grid.
19 . The method of claim 18 , wherein the birefringence map is an enhanced contrast birefringence map.
20 . The method of claim 19 , further comprising
separating nerving using reflectance.