System and method for tracking healing progress of tissue

• US 8,000,777 B2
• Filed: 09/18/2007
• Issued: 08/16/2011
• Est. Priority Date: 09/19/2006
• Status: Active Grant

• Current Assignee: KCI Licensing Incorporated (3M Company)
• Original Assignee: KCI Licensing Incorporated (3M Company)
• Inventors: Xu, Tianning, Beard, Mark Stephen James, Locke, Christopher Brian, Jaeb, Jonathan Paul
• Primary Examiner(s): Rozanski; Michael T
• Application Number:
  US11/901,663
• Publication Number:
  US 20080071162A1
• Time in Patent Office: 1,428 Days
• Field of Search: 600/407, 382/128, 382/167
• US Class Current: 600/476
• CPC Class Codes: A61B 5/0059 using light, e.g. diagnosis by transillumination, diascopy, fluorescence A61B5/0093, A61B5/1455, A61B5/02416 and A61B5/0261 take precedence
• CPC Class Codes: A61B 5/445 Evaluating skin irritation or skin trauma, e.g. rash, eczema, wound, bed sore
• CPC Class Codes: A61H 2201/5056 pneumatically controlled
• CPC Class Codes: A61H 9/0057 Suction suction kneading A61H7/008
• CPC Class Codes: A61M 1/73 comprising sensors or indicators for physical values
• CPC Class Codes: A61M 1/74 Suction control underwater drainage A61M1/61
• CPC Class Codes: A61M 1/90 Negative pressure wound therapy devices, i.e. devices for applying suction to a wound to promote healing, e.g. including a vacuum dressing
• CPC Class Codes: A61M 2205/15 Detection of leaks
• CPC Class Codes: A61M 2205/33 Controlling, regulating or measuring
• CPC Class Codes: A61M 2205/3327 Measuring
• CPC Class Codes: A61M 2205/3331 Pressure; Flow
• CPC Class Codes: A61M 2205/3337 Controlling, regulating pressure or flow by means of a valve by-passing a pump
• CPC Class Codes: A61M 2205/3379 Masses, volumes, levels of fluids in reservoirs, flow rates
• CPC Class Codes: A61M 2205/43 making noise when used correctly
• CPC Class Codes: A61M 2205/581 by audible feedback
• CPC Class Codes: A61M 5/1415 Stands, brackets or the like for supporting infusion accessories
• CPC Class Codes: A61N 1/0468 Specially adapted for promoting wound healing
• CPC Class Codes: A61N 2005/0661 ultraviolet
• CPC Class Codes: A61N 5/0616 Skin treatment other than tanning
• CPC Class Codes: F16M 11/046 adapted to upward-downward translation movement
• CPC Class Codes: F16M 11/048 : adapted to forward-backward translation movement
• CPC Class Codes: F16M 13/02 : for supporting on, or attaching to, an object, e.g. tree, gate, window-frame, cycle
• CPC Class Codes: F16M 2200/027 : by friction
• CPC Class Codes: G01F 23/14 : by measurement of pressure

Abstract

A system and method for analyzing tissue healing may include an image capture device and a reference color marker of a predetermined color. A processing unit may be in communication with the image capture device, and be configured to receive image data from the image capture device. The image data may include image of a tissue site and the reference color marker. At least one image parameter may be adjusted based on at least a portion of the image of the reference color marker to normalize the image data. The normalized image data may be presented to a clinician.

Claims

1. A system for analyzing tissue healing, said system comprising:

an image capture device;

a reference color marker of a predetermined color;

a processing unit in communication with said image capture device, and configured to;

receive image data from said image capture device, the image data including image of a tissue site and said reference color marker;

determine an image color adjustment by adjusting the image of the reference color marker to the predetermined color;

apply the image color adjustment to the image of the tissue site to normalize the image of the tissue site to generate a normalized image;

compare colors of the tissue site in the normalized image to a first range of colors defining a first tissue type for identifying a particular first type of tissue at the tissue site;

compare colors of the tissue site in the normalized image to a second range of colors defining a second tissue type for identifying a second type of tissue at the tissue site, the first and second tissue types being tissue in different stages of healing;

identify the first and second tissue types; and

present the normalized image to a clinician.

2. The system according to claim 1, wherein said processing system is further configured to:

enable the clinician to identify at least one region of the first tissue type of the tissue site that is within a stage of tissue healing by highlighting the at least one region.

3. The system according to claim 2, wherein the at least one highlighted region of the tissue site defines necrotic tissue, granulation tissue, or slough tissue.

4. The system according to claim 2, wherein said processing unit is further configured to calculate area of the at least one region of the tissue site.

5. The system according to claim 4, further comprising an electronic display, wherein said processing unit is further configured to display the tissue site and identify the region of the tissue site within the tissue healing stage on said electronic display.

6. The system according to claim 2, wherein enabling the clinician to identify the at least one region by highlighting the at least one region includes enabling the clinician to generate a border around the at least one region of the tissue site.

7. The system according to claim 1, wherein said processing unit is further configured to:

determine area of at least one region of the tissue site that is within a first tissue healing stage; and

determine area of at least one region of the tissue site within a second tissue healing stage.

8. The system according to claim 7, wherein said processing unit is further configured to, in response to a user selecting a color of tissue in the normalized image, identify all of the tissue within the tissue site that is within a color range percentage of the selected color.

9. The system according to claim 1, wherein said reference color marker is a card.

10. The system according to claim 1, wherein said reference color marker is white.

11. The system according to claim 10, wherein said processing unit is further configured to adjust at least one image parameter based on at least a portion of the image of said reference color marker to normalize the image data, and wherein the at least one image parameter includes a white balance image parameter.

12. A method for analyzing tissue healing, said method comprising:

capturing an image including a tissue site and a reference color marker of a predetermined color;

determining an image color adjustment by adjusting the image of the reference color marker to the predetermined color;

applying the image color adjustment to the image of the tissue site to normalize the image of the tissue site to generate a normalized image;

automatically comparing colors of the tissue site in the normalized image to a first range of colors defining a first tissue type for identifying a first type of tissue at the tissue site;

automatically comparing colors of the tissue site in the normalized image to a second range of colors defining a second tissue type for identifying a second type of tissue at the tissue site, the first and second tissue types being in different stages of healing;

identifying the first and second tissue types; and

presenting the normalized image to a clinician.

13. The method according to claim 12, further comprising enabling the clinician to identify at least one region of the first tissue type of the tissue site that is within a stage of tissue healing by highlighting the at least one region.

14. The method according to claim 13, wherein enabling the clinician to identify at least one region of the first tissue type of the tissue site by highlighting the at least one region of the tissue site includes enabling the clinician to identify that the at least one region of the tissue site is necrotic tissue, granulation tissue, or slough tissue.

15. The method according to claim 13, further comprising calculating area of the at least one region of the first tissue type of the tissue site.

16. The method according to claim 15, further comprising displaying the tissue site and identifying the at least one region of the tissue site within the tissue healing stage on the displayed tissue site.

17. The method according to claim 13, wherein enabling the clinician to identify at least one region of the tissue site by highlighting the at least one region of the tissue site includes enabling the clinician to generate a border around the at least one region of the tissue site.

18. The method according to claim 12, further comprising:

determining area of at least one region of the tissue site that is within a first tissue healing stage; and

determining area of the at least one region of the tissue site within a second tissue healing stage.

19. The method according to claim 18, further comprising in response to a user selecting a color of tissue in the normalized image, identifying all of the tissue within the tissue site that is within a color range percentage from the selected color.

20. The method according to claim 12, wherein capturing an image including a reference color marker includes capturing an image of a white reference color marker.