System and method for counting surgical samples

• US 8,897,523 B2
• Filed: 07/09/2012
• Issued: 11/25/2014
• Est. Priority Date: 07/09/2011
• Status: Active Grant

• Current Assignee: Gauss Surgical, Gauss Surgical, Inc. (Stryker Corporation)
• Original Assignee: Gauss Surgical
• Inventors: Satish, Siddarth, Miller, Kevin, Zandifar, Ali, Hosford, Andrew
• Primary Examiner(s): BHATNAGAR, ANAND P
• Application Number:
  US13/544,679
• Publication Number:
  US 20130011031A1
• Time in Patent Office: 869 Days
• Field of Search: 382128-134, 382141-143, 128/922, 378/51, 378/52, 378/53, 378/54, 378/62, 348/86, 348/91, 348/92, 348/143, 356/4.01, 356/27, 356/28.5, 356 39- 42, 356/300, 356/302, 356/303, 73/10.2, 73/17.3, 702/55, 702/156
• US Class Current: 382/128
• CPC Class Codes: A61B 5/02042 Determining blood loss or bleeding, e.g. during a surgical procedure
• CPC Class Codes: G06T 2207/10024 Color image
• CPC Class Codes: G06T 2207/30004 Biomedical image processing
• CPC Class Codes: G06T 5/00 Image enhancement or restoration
• CPC Class Codes: G06T 7/62 of area, perimeter, diameter or volume

Abstract

One method for counting surgical samples comprises: identifying a physical sample in a field of view of an optical sensor; indexing a sample counter for the identified physical sample; extracting a feature from a portion of the field of the view of the optical sensor; and estimating the extracorporeal blood volume in a portion of the physical sample based upon the extracted feature.

Claims

1. A method for counting surgical samples comprising:

identifying a surgical textile in a field of view of an optical sensor;

indexing a sample counter for the identified surgical textile;

extracting a feature from a portion of the field of the view of the optical sensor; and

estimating the extracorporeal blood volume in a portion of the surgical textile based upon the extracted feature.

2. The method of claim 1, further comprising capturing an image of the field of view of the optical sensor, wherein identifying the surgical textile comprises identifying the surgical textile in the image, and wherein extracting the feature from the portion of the field of the view of the optical sensor comprises extracting the feature from the portion of the image.

3. The method of claim 2, wherein extracting the feature from the portion of the image of the sample comprises extracting the feature that comprises a color intensity value in a component space, wherein estimating the extracorporeal blood volume in the portion of the surgical textile comprises comparing the color intensity value of the portion of the image in the sample with intensity values of color models paired with known blood volume indicators.

4. The method of claim 3, wherein estimating the extracorporeal blood volume in a portion of the surgical textile comprises selecting color model that is a template image of a non-parametric template image library.

5. The method of claim 3, estimating the extracorporeal blood volume in a portion of the surgical textile comprises classifying the surgical textile according to a non-image feature and selecting the color model based upon the classification of the sample and passing the extracted feature into the selected color model.

6. The method of claim 2, wherein extracting the feature from the portion of the image of the sample comprises extracting the feature that comprises a color intensity value in a component space, wherein estimating the extracorporeal blood volume in the portion of the surgical textile comprises transforming the extracted feature into the blood volume indicator according to a parametric model.

7. The method of claim 2, wherein extracting the feature from the portion of the image of the sample comprises extracting a feature selected from the group consisting of a redness value in the red component space, a blueness value in the blue component space, a greenness value in the green component space, a surface area of the surgical textile, a surface area of a bloodied region of the surgical textile, a pixel count of the portion of the image associated with the portion of the surgical textile, and a color intensity value of the portion of the image associated with an unsoiled portion of the sample.

8. The method of claim 1, wherein identifying the surgical textile comprises identifying the surgical textile from a group consisting of:

of a surgical dressing, a surgical gauze sponge, and a surgical towel.

9. The method of claim 8, wherein indexing the sample counter comprises indexing one of a surgical dressing counter, a surgical gauze sponge counter, and a surgical towel counter based upon the identified surgical textile.

10. The method of claim 1, further comprising estimating total extracorporeal blood volume in the surgical textile by summing the estimated extracorporeal blood volume in the portion of the surgical textile with estimated extracorporeal blood volumes in substantially all other portions of the surgical textile.

11. The method of claim 10, further comprising estimating patient blood loss by summing the estimated total extracorporeal blood volume in the surgical textile with the estimated total extracorporeal blood volumes of surgical textiles in additional fields of view of the optical sensor.

12. The method of claim 11, wherein identifying the surgical textile in the field of view of the sensor further comprises identifying the additional surgical textiles in fields of view of the optical sensor and indexing the sample counter for the identified additional surgical textiles.

13. The method of claim 1, wherein identifying the surgical textile comprises implementing edge detection to isolate the surgical textile from a background of the field of view of the optical sensor.

14. The method of claim 1, further comprising receiving confirmation of identification of the surgical textile, wherein the sample counter is indexed for the surgical textile that is confirmed.

15. The method of claim 14, further comprising augmenting a sample identification training set with a form of the field of view of the optical sensor that includes the surgical textile when the identification of the surgical textile is confirmed.

16. The method of claim 1, wherein extracting a feature from a portion of the field of the view of the optical sensor comprises extrapolating a dimension of the surgical textile by estimating a distance between the optical sensor and the surgical textile.

17. The method of claim 16, wherein identifying the surgical textile comprises comparing the extrapolated dimension of the surgical textile with a known dimension of a surgical object.

18. The method of claim 1, further comprising comparing the identified surgical textile against a set of past identified surgical textiles, wherein the sample counter is indexed when the identified surgical textile is determined to be unique amongst the set of past identified surgical textiles.

19. The method of claim 1, further comprising displaying the sample count of the surgical textile and the estimated extracorporeal blood volume in at least the portion of the surgical textile.

20. The method of claim 1, further comprising updating a digital medical record of a patient with the estimated blood volume in at least the portion of the surgical textile.

21. A system for counting surgical samples comprising:

an optical sensor that captures an image of a surgical textile;

a processor that identifies the surgical textile in the image, indexes a sample counter for the identified surgical textile, extracts a feature from a portion of the image, estimates the extracorporeal blood volume in a portion of the surgical textile based upon the extracted feature; and

a display that depicts the sample counter and the estimated blood volume in at least the portion of the surgical textile.

22. The system of claim 21, wherein the optical sensor is a camera, and wherein the processor further determines at least one of the angle of the camera relative to the surgical textile and the distance between the camera and the surgical textile at the time of the image was captured.

23. The system of claim 21, wherein the optical sensor is configured to be mounted overhead a surgical operating table.

24. The system of claim 21, further comprising a handheld housing that contains the optical sensor, the processor, and the display.

25. The system of claim 21, further comprising a foot pedal accessible by a user to confirm or to refute the identity of the surgical textile, wherein the processor indexes the sample count when the user confirms the identity of the surgical textile through the foot pedal.

26. The system of claim 21, further comprising a data storage module configured to store a library of template images of known blood volume indicators, wherein the processor is configured to access a template image from the data storage module and to compare the template image with the portion of the image of the sample according to the extracted feature to generate the blood volume indicator tag.