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

Patent metadata

Field	Value
Publication number	US-2017352152-A1
Application number	US-201715416986-A
Country	US
Kind code	A1
Filing date	Jan 26, 2017
Priority date	May 14, 2012
Publication date	Dec 7, 2017
Grant date	—

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.

First claim

1 . (canceled)

2 : A 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.

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

4 : The method of claim 3 , 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.

5 : The method of claim 2 , further comprising receiving a manual reading of a fluid level in the fluid container.

6 : The method of claim 2 , 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.

7 : The method of claim 2 , 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.

8 : The method of claim 7 , 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.

9 : The method of claim 8 , 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.

10 : The method of claim 8 , 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.

11 : The method of claim 8 , 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.

12 : The method of claim 2 , wherein communicating the estimated quantity of the blood component comprises displaying the estimated quantity of the blood component on a display to the user.

13 : 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.

14 : The system of claim 13 , 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.

15 : The system of claim 13 , wherein the one or more processors is configured to receive a manual reading of a fluid level in the fluid container.

16 : The system of claim 13 , 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.

17 : The system of claim 13 , 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.

18 : The system of claim 17 , 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.

19 : 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.

20 : The system of claim 17 , 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.

21 : The system of claim 17 , 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.

Assignees

• Gauss Surgical Inc

Inventors

• Satish Siddarth
• Zandifar Ali
• Miller Kevin J

Classifications

• G06T2207/30004

  Biomedical image processing · CPC title

• G06T7/90

  Determination of colour characteristics · CPC title

• G06T2207/10024

  Color image · CPC title

• G01F23/292

  Light {, e.g. infrared or ultraviolet} · CPC title

• G01N21/84

  Systems specially adapted for particular applications · CPC title