Method for estimating blood component quantities in surgical textiles

1. A method for analyzing a surgical textile, the method comprising:

capturing a first depth image of a field of view at a first time;

detecting a shape of the surgical textile in the first depth image;

indexing a frame counter upon detecting the shape in the first depth image;

capturing a second depth image of the field of view at a second time succeeding the first time;

detecting whether the shape of the surgical textile appears in the second depth image; and

indexing, based on the detecting of whether the shape of the surgical textile appears in the second depth image:

the frame counter upon detecting that the shape appears in the second depth image; or

a non-detection counter upon detecting that the shape of the surgical textile does not appear in the second depth image.

2. The method of claim 1 , further comprising:

clearing the frame counter upon the frame counter reaching a pre-specified value.

3. The method of claim 1 , further comprising:

clearing the non-detection counter upon the non-detection counter reaching a pre-specified value.

4. The method of claim 1 , further comprising:

comparing the frame counter to a threshold value;

capturing a color image of the field of view based on the comparison of the frame counter to the threshold value; and

estimating a blood component quantity corresponding to the surgical textile based on a region of the color image corresponding to the surgical textile.

5. The method of claim 4 , wherein:

the first depth image is a first infrared image;

the second depth image is a second infrared image; and the method further comprises:

generating an image mask using the second infrared image; and

using the image mask with the color image to identify the region of the color image corresponding to the surgical textile.

6. A method for analyzing a surgical textile, the method comprising:

capturing a first depth image of a field of view at a first time;

detecting a surface characteristic of the surgical textile in the first depth image;

indexing a frame counter upon detecting the surface characteristic in the first depth image;

capturing a second depth image of the field of view at a second time succeeding the first time;

detecting whether the surface characteristic of the surgical textile appears in the second depth image; and

indexing, based on the detecting of whether the surface characteristic of the surgical textile appears in the second depth image:

the frame counter upon detecting that the surface characteristic appears in the second depth image; or

a non-detection counter upon detecting that the surface characteristic of the surgical textile does not appear in the second depth image.

7. The method of claim 6 , further comprising:

clearing the frame counter upon the frame counter reaching a pre-specified value.

8. The method of claim 6 , further comprising:

clearing the non-detection counter upon the non-detection counter reaching a pre-specified value.

9. The method of claim 6 , further comprising:

comparing the frame counter to a threshold value;

capturing a color image of the field of view based on the comparison of the frame counter to the threshold value; and

estimating a blood component quantity corresponding to the surgical textile based on a region of the color image corresponding to the surgical textile.

10. The method of claim 9 , wherein:

the first depth image is a first infrared image;

the second depth image is a second infrared image; and the method further comprises:

generating an image mask using the second infrared image; and

using the image mask with the color image to identify the region of the color image corresponding to the surgical textile.

11. A system for analyzing a surgical textile, the system comprising:

a depth imaging system configured to acquire one or more depth images of the surgical textile; and

a processor configured to perform operations comprising:

capturing a first depth image of a field of view at a first time;

detecting a shape of the surgical textile in the first depth image;

indexing a frame counter upon detecting the shape in the first depth image;

capturing a second depth image of the field of view at a second time succeeding the first time;

detecting whether the shape of the surgical textile appears in the second depth image; and

indexing, based on the detecting of whether the shape of the surgical textile appears in the second depth image:

the frame counter upon detecting that the shape appears in the second depth image; or

a non-detection counter upon detecting that the shape of the surgical textile does not appear in the second depth image.

12. The system of claim 11 , wherein the operations further comprise:

clearing the frame counter upon the frame counter reaching a pre-specified value.

13. The system of claim 11 , wherein the operations further comprise:

clearing the non-detection counter upon the non-detection counter reaching a pre-specified value.

14. The system of claim 11 , further comprising:

a color imaging system configured to acquire one or more color images of the surgical textile; and wherein the operations further comprise:

comparing the frame counter to a threshold value;

capturing a color image of the field of view based on the comparison of the frame counter to the threshold value; and

estimating a blood component quantity corresponding to the surgical textile based on a region of the color image corresponding to the surgical textile.

15. The system of claim 14 , wherein:

the first depth image is a first infrared image;

the second depth image is a second infrared image; and the operations further comprise:

generating an image mask using the second infrared image; and

using the image mask with the color image to identify the region of the color image corresponding to the surgical textile.

16. A system for analyzing a surgical textile, the system comprising:

a depth imaging system configured to acquire one or more depth images of the surgical textile; and

a processor configured to perform operations comprising:

capturing a first depth image of a field of view at a first time;

detecting a surface characteristic of the surgical textile in the first depth image;

indexing a frame counter upon detecting the surface characteristic in the first depth image;

capturing a second depth image of the field of view at a second time succeeding the first time;

detecting whether the surface characteristic of the surgical textile appears in the second depth image; and

indexing, based on the detecting of whether the surface characteristic of the surgical textile appears in the second depth image:

the frame counter upon detecting that the surface characteristic appears in the second depth image; or

a non-detection counter upon detecting that the surface characteristic of the surgical textile does not appear in the second depth image.

17. The system of claim 16 , wherein the operations further comprise:

clearing the frame counter upon the frame counter reaching a pre-specified value.

18. The system of claim 16 , wherein the operations further comprise:

clearing the non-detection counter upon the non-detection counter reaching a pre-specified value.

19. The system of claim 16 , further comprising:

a color imaging system configured to acquire one or more color images of the surgical textile; and wherein the operations further comprise:

comparing the frame counter to a threshold value;

capturing a color image of the field of view based on the comparison of the frame counter to the threshold value; and

estimating a blood component quantity corresponding to the surgical textile based on a region of the color image corresponding to the surgical textile.

20. The system of claim 19 , wherein:

the first depth image is a first infrared image;

the second depth image is a second infrared image; and the operations further comprise:

generating an image mask using the second infrared image; and

using the image mask with the color image to identify the region of the color image corresponding to the surgical textile.