Locating and analyzing perforator flaps for plastic and reconstructive surgery

• US 10,219,742 B2
• Filed: 09/20/2010
• Issued: 03/05/2019
• Est. Priority Date: 04/14/2008
• Status: Active Grant

• Current Assignee: Stryker Corporation
• Original Assignee: Novadaq Technologies ULC (Stryker Corporation)
• Inventors: Dvorsky, Peter, Goyette, David Mark Henri
• Primary Examiner(s): Kish, James
• Application Number:
  US12/933,477
• Publication Number:
  US 20110306877A1
• Time in Patent Office: 3,088 Days
• Field of Search: 600407, 600473, 600476
• CPC Class Codes: A61B 2017/00792 Plastic surgery
• 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 5/413 Monitoring transplanted tissue or organ, e.g. for possible rejection reactions after a transplant
• CPC Class Codes: A61B 5/489 Blood vessels

Abstract

A method and an apparatus for preoperative identification of a perforator vessel for plastic and/or reconstructive surgery using ICG fluorescence angiography imaging are disclosed. Time-resolved image processing is used to highlight perforator locations and to enable visual discrimination among candidate perforators by various computed metrics. Based on these metrics, the surgeon is able to interactively locate and select perforator vessels suitable for plastic and reconstructive surgery.

Claims

1. A method for evaluating tissue perfusion in a tissue of a subject, the method comprising:

detecting, through a skin surface, a fluorescence response from the tissue arising from a bolus of ICG having been administered into the bloodstream of the subject;

acquiring a temporal sequence of images of the fluorescence response over a period of time;

independently processing each pixel in the temporal sequence of images of the tissue to (i) compute a temporally-based value for each pixel, wherein each temporally-based value is based on a plurality of images of the temporal sequence of images, and (ii) generate a spatial map of the computed temporally-based values; and

displaying the spatial map of the computed temporally-based values,

wherein each temporally-based value is a peak value of the fluorescence response for the respective pixel.

2. The method of claim 1, further comprising applying a contrast transfer function to the fluorescence response.

3. The method of claim 2, wherein the contrast transfer function represents a linear or nonlinear function which transforms the fluorescence response into an overlay image representing different perfusion characteristics in different colors.

4. The method of claim 3, further comprising displaying in the overlay image a zero (“

0”

) marker representative of a background fluorescence response of (a) substantially unperfused tissue, (b) background noise, or (c) residual ICG and a hundred (“

100”

) marker representative of a fluorescence response of well perfused tissue.

5. The method of claim 4, wherein the zero marker is associated with a non-fluorescent object placed on the substantially unperfused tissue.

6. The method of claim 4, wherein the zero marker is derived from a fluorescence response from tissue prior to arrival of the ICG bolus in the tissue.

7. The method of claim 4, further comprising displaying numerical values of the fluorescence response in the overlay image.

8. The method of claim 4, further comprising:

normalizing the numerical values of the fluorescence response to a range between the zero marker and the hundred marker, and

displaying normalized numerical values of the fluorescence response in the overlay image.

9. The method of claim 8, wherein the normalized numerical values of the fluorescence response are computed for different image regions of an anatomical feature.

10. The method of claim 9, wherein the normalized numerical values of the fluorescence response are computed with the following steps:

computing the fluorescence response for all pixels,

averaging the fluorescence response over a predefined region in the image,

normalizing the averaged fluorescence response in the entire image, and

scaling the normalized averaged fluorescence response of the contrast transfer function.

11. The method of claim 2, wherein the contrast transfer function is a non-linear function with regions of different slope, and wherein the different slopes and transition between the different slopes are adjusted during a procedure to evaluate the perfusion of the tissue.

12. The method of claim 1, further comprising:

identifying a first reference label associated with native tissue apart from the tissue being evaluated;

identifying a second reference label associated with fluorescence response of the tissue being evaluated that achieves a predetermined perfusion;

normalizing at least one additional label associated with fluorescence response of pixel values for a second region of the tissue being evaluated to the range established by the first and second reference labels; and

displaying the first reference label, the second reference label, and the at least one additional label on a color or black-and-white image.

13. The method of claim 12, wherein the first reference label, the second reference label, and the one additional label are each numerical values.

14. The method of claim 1, further comprising:

selecting a zone from the tissue being evaluated for use in a subsequent surgical step based on the spatial map of the computed temporally-based values.

15. The method of claim 1, further comprising:

determining a zone from the tissue being evaluated for use in reconstructive surgery based on perforator vessels in the tissue being evaluated represented in the spatial map of the computed temporally-based values.

16. The method of claim 1, further comprising:

selecting, in the temporal sequence of images or in the spatial map, a target region, a first reference region representing a well-perfused tissue, and a second reference region representing background, and

processing the target region using the first reference region and the second reference region to compute a quantitative representation of tissue perfusion in the target region.

17. The method of claim 1, further comprising:

generating in real time a composite overlay image of the fluorescence response.

18. An apparatus for evaluating perforator vessels in candidate perforator flaps, comprising:

means for detecting a fluorescence response from blood-carried ICG in the perforator vessels in the candidate perforator flaps;

means for acquiring a temporal sequence of images of the fluorescence response over a predetermined time;

means for processing the sequence of images to yield a time-integrated intensity or time-derivative of the intensity for pixel values in the images corresponding to the blood-carried ICG in the perforator vessels in the candidate perforator flaps, said means for processing including an algorithm that inversely weights the pixel values in relation to elapsed time from application of an ICG bolus into the bloodstream until fluorescence; and

means for displaying the time-integrated intensity or time-derivative of the intensity as a color or black-and-white image.

19. An apparatus for evaluating tissue perfusion in a tissue of a subject, comprising:

a camera configured to detect, through a skin surface, a fluorescence response from the tissue arising from a bolus of ICG having been administered into the bloodstream of the subject;

a processor configured to

acquire a temporal sequence of images of the fluorescence response over a period of time, and

independently process each pixel in the temporal sequence of images of the tissue to (i) compute a temporally-based value for each pixel, wherein each temporally-based value is based on a plurality of images of the temporal sequence of images, and (ii) generate a spatial map of the computed temporally-based values; and

a display configured to display the spatial map of the computed temporally-based values,

wherein each temporally-based value is a peak value of the fluorescence response for the respective pixel.

20. The apparatus of claim 19, wherein the processor is further configured to

select, in the temporal sequence of images or in the spatial map, a target region, a first reference region representing a well-perfused tissue, and a second reference region representing background, and

process the target region using the first reference region and the second reference region to compute a quantitative representation of tissue perfusion in the target region.