System and method for estimating a quantity of a blood component in a fluid canister

• US 10,282,839 B2
• Filed: 01/26/2017
• Issued: 05/07/2019
• Est. Priority Date: 05/14/2012
• Status: Active Grant

• Current Assignee: Stryker Corporation
• Original Assignee: Gauss Surgical, Inc. (Stryker Corporation)
• Inventors: Satish, Siddarth, Zandifar, Ali, Miller, Kevin J.
• Primary Examiner(s): Tabatabai, Abolfazl
• Application Number:
  US15/416,986
• Publication Number:
  US 20170352152A1
• Time in Patent Office: 831 Days
• Field of Search: 382128-134, 600302, 600322, 600326, 600369, 600407, 600424, 600500, 600558, 604358, 604362, 356 39, 356 40, 356244
• CPC Class Codes: A61B 5/02042 Determining blood loss or bleeding, e.g. during a surgical procedure
• CPC Class Codes: G01F 22/00 Methods or apparatus for measuring volume of fluids or fluent solid material, not otherwise provided for
• CPC Class Codes: G01F 23/292 Light , e.g. infrared or ultraviolet
• CPC Class Codes: G01N 21/25 Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
• CPC Class Codes: G01N 21/84 Systems specially adapted for particular applications
• CPC Class Codes: G01N 21/90 in a container or its contents G01N21/91 takes precedence
• CPC Class Codes: G01N 33/49 Blood chemical methods for determining blood cell populations G01N33/5094; chemical analysis of blood groups or blood types G01N33/80
• CPC Class Codes: G06T 2207/10024 Color image
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06T 7/70 Determining position or orientation of objects or cameras camera calibration G06T7/80
• CPC Class Codes: G06T 7/90 Determination of colour characteristics

Abstract

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 marking; 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.

Claims

1. A computer-implemented method for assessing fluid in a fluid container, comprising:

receiving an image of at least a portion of the fluid container, wherein a fluid is in the fluid container;

extracting at least one color-related feature from an area of the image depicting at least a portion of the fluid in the fluid container;

correlating the at least one extracted color-related feature with a concentration of a blood component in the fluid in the fluid container;

estimating a quantity of the blood component in the fluid container based on the concentration of the blood component and an estimated volume of blood in the fluid container; and

communicating the estimated quantity of the blood component to a user.

2. The method of claim 1, further comprising generating an estimated volume of blood in the fluid container with a volume estimation algorithm.

3. The method of claim 2, further comprising selecting the area of the image depicting at least a portion of the fluid in the fluid container, wherein the extracted feature is extracted from the selected area of the image.

4. The method of claim 1, further comprising receiving a manual reading of a fluid level in the fluid container.

5. The method of claim 1, wherein the at least one extracted color-related feature comprises at least one of color intensity, luminosity, hue, saturation value, brightness value, and gloss value.

6. The method of claim 1, wherein extracting the at least one color-related feature comprises extracting a set of features from a plurality of pixel clusters in the image, wherein the set of features includes one feature per pixel cluster.

7. The method of claim 6, wherein correlating the at least one extracted color-related feature comprises correlating each extracted feature in the set of features with a respective concentration of a blood component in the fluid container.

8. The method of claim 7, wherein estimating a quantity of the blood component in the fluid container comprises estimating the quantity of the blood component in the fluid container based on the concentrations of the blood component and the estimated volume of blood in the fluid container.

9. The method of claim 7, wherein correlating the at least one extracted color-related feature comprises comparing the at least one extracted color-related feature to a reference value of a template image of known concentration of the blood component.

10. The method of claim 7, wherein correlating the at least one extracted color-related feature comprises transforming the at least one extracted color-related feature into the concentration of the blood component according to a parametric model.

11. The method of claim 1, wherein communicating the estimated quantity of the blood component comprises displaying the estimated quantity of the blood component on a display to the user.

12. A system for assessing fluid in a fluid container, the system comprising:

an optical sensor configured to capture an image of at least a portion of the fluid container, wherein a fluid is in the fluid container;

one or more processors coupled to the optical sensor and configured to receive the image, extract at least one color-related feature from an area of the image depicting at least a portion of the fluid in the fluid container, correlate the at least one extracted color-related feature with a concentration of a blood component in the fluid container, and estimate a quantity of the blood component in the fluid container based on the concentration of the blood component and an estimated volume of blood in the fluid container; and

a display configured to communicate the estimated quantity of the blood component to a user.

13. The system of claim 12, wherein the one or more processors is configured to select an area of the image depicting at least a portion of the fluid in the fluid container, wherein the extracted feature is extracted from the selected area of the image.

14. The system of claim 12, wherein the one or more processors is configured to receive a manual reading of a fluid level in the fluid container.

15. The system of claim 12, wherein the at least one extracted color-related feature comprises at least one of color intensity, luminosity, hue, saturation value, brightness value, and gloss value.

16. The system of claim 12, wherein the one or more processors is configured to extract a set of features from a plurality of pixel clusters in the image, wherein the set of features includes one feature per pixel cluster.

17. The system of claim 16, wherein the one or more processors is configured to correlate each extracted feature in the set of features with a respective concentration of a blood component in the fluid container.

18. The system of claim 17, wherein the one or more processors is configured to estimate the quantity of the blood component in the fluid container based on the concentrations of the blood component and the estimated volume of blood in the fluid container.

19. The system of claim 16, wherein the one or more processors is configured to correlate the at least one extracted color-related feature by comparing the at least one extracted color-related feature to a reference value of a template image of known concentration of the blood component.

20. The system of claim 16, wherein the one or more processors is configured to correlate the at least one extracted color-related feature by transforming the at least one extracted color-related feature into the concentration of the blood component according to a parametric model.