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1. WO2020160439 - SYSTÈME ET PROCÉDÉ D'IDENTIFICATION DE NERF PEROPÉRATOIRE NON EFFRACTIVE À L'AIDE DE LA POLARIMÉTRIE D'INSTANTANÉ

Note: Texte fondé sur des processus automatiques de reconnaissance optique de caractères. Seule la version PDF a une valeur juridique

[ EN ]

CLAIMS

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 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.

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 and angles of axes of the linear polarizers are 0°, 45°, 90°, and 135°.

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 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 at least one predetermined polarization angle, 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.

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 9, wherein the predetermined number of pixels is four and angles of axes of the linear polarizers are 0°, 45°, 90°, and 135°.

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 polarimeteric data from a target area associated with each of a plurality of illumination polarization;

converting the raw polarimetric data into a birefringence map; and outputting a graphical representation of the birefringence map.

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.