System and method for estimating a quantity of a blood component in a fluid canister
A variation of a method for estimating a quantity of a blood component in a fluid canister includes: within an image of a canister, identifying a reference marker on the canister; selecting an area of the image based on the reference marker; correlating a portion of the selected area with a fluid level within the canister; estimating a volume of fluid within the canister based on the fluid level; extracting a feature from the selected area; correlating the extracted featured with a concentration of a blood component within the canister; and estimating a quantity of the blood component within the canister based on the estimated volume and the concentration of the blood component within the canister.
1. A method of estimating patient blood loss comprising:
receiving, by one or more processors, an image of at least a portion of a container with the image depicting blood and non-blood fluid being held in the container;
determining, by the one or more processors, a volume of the fluid held in the container;
determining, by the one or more processors, a color component value of a region of the image, the region depicting a portion of the fluid held in the container;
determining, by the one or more processors, a concentration of hemoglobin within the fluid based on the color component value of the region of the image; and
providing, by the one or more processors, an indication that quantifies the patient blood loss in the container based on the volume of the fluid held in the container and the concentration of the hemoglobin.
2. The method of claim 1 , wherein:
the determining of the volume of the fluid held in the container includes receiving a manual entry of a manual reading that indicates the volume of the fluid held in the container.
3. The method of claim 1 , wherein:
a surface of the fluid appears in the image;
the determining of the volume of the fluid is based on the image in which the surface of the fluid appears and includes identifying, in the image, a level of the fluid in the container; and
the volume of the fluid is determined based on the level of the fluid.
4. The method of claim 1 , wherein:
a surface of the fluid appears in the image;
the determining of the volume of the fluid is based on the image in which the surface of the fluid appears and includes identifying, in the image, a meniscus of the fluid and performing a comparison of the meniscus to a mark on the container; and
the volume of the fluid is determined based on the comparison of the meniscus to the mark.
5. The method of claim 1 , wherein:
a surface of the fluid appears in the image;
the determining of the volume of the fluid is based on the image in which the surface of the fluid appears and includes identifying, in the image, a lower bound of the surface and an upper bound of the surface; and
the volume of the fluid is determined based on the lower and upper bounds of the surface of the fluid.
6. The method of claim 1 , wherein:
the determining of the color component value of the region of the image includes extracting at least one of a color intensity value of the region, a luminosity value of the region, a brightness value of the region, a hue value of the region, or a saturation value of the region.
7. The method of claim 1 , wherein:
the region of the image includes a group of pixels that depict some of the fluid; and
the determining of the color component value of the region of the image is based on a histogram of color component values of the group of pixels that depict some of the fluid.
8. The method of claim 1 , wherein:
the region of the image includes a horizontal row of pixels that depict some of the fluid; and
the determining of the color component value of the region of the image includes determining an average of color component values of the horizontal row of pixels that depict some of the fluid.
9. The method of claim 1 , wherein:
the image in which the region depicts the portion of the fluid held in the container is a candidate image to be compared to one or more reference images;
the determining of the concentration of the hemoglobin within the fluid based on the color component value of the region includes accessing a reference image among the one or more reference images; and
the concentration of the hemoglobin is determined based on the accessed reference image.
10. The method of claim 1 , wherein:
the image in which the region depicts the portion of the fluid held in the container is a candidate image to be compared to one or more reference images;
the determining of the concentration of the hemoglobin within the fluid based on the color component value of the region includes accessing metadata tagged to a pixel cluster in a reference image among the one or more reference images; and
the concentration of the hemoglobin is determined based on the accessed metadata tagged to the pixel cluster in the reference image.
11. A device for estimating patient blood loss comprising:
one or more processors; and
a memory storing instructions that, when executed by the one or more processors, cause the device to perform operations comprising:
receiving an image of at least a portion of a container with the image depicting blood and non-blood fluid being held in the container;
determining a volume of the fluid being held in the container;
determining a color component value of a region of the image depicting at least a portion of the fluid;
determining a concentration of hemoglobin within the fluid based on the color component value of the region of the image; and
providing an indication that quantifies the patient blood loss in the container based on the volume of the fluid and the concentration of the hemoglobin.
12. The device of claim 11 , wherein:
the determining of the volume of the fluid held in the container includes receiving a manual entry of a manual reading that indicates the volume of the fluid held in the container.
13. The device of claim 11 , wherein:
a surface of the fluid appears in the image;
the determining of the volume of the fluid is based on the image in which the surface of the fluid appears and includes identifying, in the image, a level of the fluid in the container; and
the volume of the fluid is determined based on the level of the fluid.
14. The device of claim 11 , wherein:
a surface of the fluid appears in the image;
the determining of the volume of the fluid is based on the image in which the surface of the fluid appears and includes identifying, in the image, a meniscus of the fluid and performing a comparison of the meniscus to a mark on the container; and
the volume of the fluid is determined based on the comparison of the meniscus to the mark.
15. The device of claim 11 , wherein:
a surface of the fluid appears in the image;
the determining of the volume of the fluid is based on the image in which the surface of the fluid appears and includes identifying, in the image, a lower bound of the surface and an upper bound of the surface; and
the volume of the fluid is determined based on the lower and upper bounds of the surface of the fluid.
16. The device of claim 11 , wherein:
the determining of the color component value of the region of the image includes extracting at least one of a color intensity value of the region, a luminosity value of the region, a brightness value of the region, a hue value of the region, or a saturation value of the region.
17. The device of claim 11 , wherein:
the image in which the region depicts the portion of the fluid held in the container is a candidate image to be compared to one or more reference images;
the determining of the concentration of the hemoglobin within the fluid based on the color component value of the region includes accessing a reference image among the one or more reference images; and
the concentration of the hemoglobin is determined based on the accessed reference image.
18. The device of claim 11 , wherein:
the image in which the region depicts the portion of the fluid held in the container is a candidate image to be compared to one or more reference images;
the determining of the concentration of the hemoglobin within the fluid based on the color component value of the region includes accessing metadata tagged to a pixel cluster in a reference image among the one or more reference images; and
the concentration of the hemoglobin is determined based on the accessed metadata tagged to the pixel cluster in the reference image.
19. A non-transitory computer-readable medium for estimating patient blood loss comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:
receiving an image of at least a portion of a container with the image depicting blood and non-blood fluid being held in the container;
determining a volume of the fluid being held in the container;
determining a color component value of a region of the image depicting at least a portion of the fluid;
determining a concentration of hemoglobin within the fluid based on the color component value of the region of the image; and
providing an indication that quantifies the patient blood loss in the container based on the volume of the fluid and the concentration of the hemoglobin.
20. The non-transitory computer-readable medium of claim 19 , wherein:
the image in which the region depicts the portion of the fluid held in the container is a candidate image to be compared to one or more reference images;
the determining of the concentration of the hemoglobin within the fluid based on the color component value of the region includes accessing a reference image among the one or more reference images; and
the concentration of the hemoglobin is determined based on the accessed reference image.