Method for imaging variations in tissue viability

• US 8,060,188 B2
• Filed: 02/24/2009
• Issued: 11/15/2011
• Est. Priority Date: 04/03/1997
• Status: Expired due to Fees

• Current Assignee: National Research Council Canada
• Original Assignee: National Research Council Canada
• Inventors: Stranc, Miroslaw F., Sowa, Michael G. R., Mantsch, Henry H.
• Primary Examiner(s): Chen; Tse
• Assistant Examiner(s): CHAO, ELMER M
• Application Number:
  US12/391,707
• Publication Number:
  US 20090216098A1
• Time in Patent Office: 994 Days
• Field of Search: 600/309, 600/310, 600322-324, 600/407, 600/473, 600475-477, 356 39- 41
• US Class Current: 600/473
• CPC Class Codes: A61B 5/0261 using optical means, e.g. infrared light
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/413 Monitoring transplanted tissue or organ, e.g. for possible rejection reactions after a transplant
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00

Abstract

Prolonged and severe tissue hypoxia results in tissue necrosis in pedicled flaps. We demonstrate the potential of near-infrared spectroscopy for predicting viability of compromised tissue portions. This approach clearly identifies tissue regions with low oxygen supply, and also the severity of this challenge, in a rapid and non-invasive manner, with a high degree of reproducibility. Early, nonsubjective detection of poor tissue oxygenation following surgery increases the likelihood that intervention aimed at saving the tissue will be successful.

Claims

1. A non-invasive method for predicting tissue necrosis in a tissue portion to which blood supply has been compromised, the method comprising:

providing a tissue portion to which blood supply has been compromised;

collecting spectroscopic images of the tissue portion at the short wavelength side of the oxyhemoglobin (HbO₂)/deoxyhemoglobin (Hb) isobestic wavelength and the long wavelength side of the oxyhemoglobin (HbO₂)/deoxyhemoglobin (Hb) isobestic wavelength, said images comprising pixels having both spatial and spectral information;

pre-processing the pixels of the spectroscopic images by applying a processing technique selected from the group consisting of;

contrast enhancement, log residual correction, median filtering, statistical scaling and inverse contrast ratio;

grouping together the pre-processed pixels of the spectroscopic images according to similar spectral reflectance responses by a classification method selected from the group consisting of principal component analysis, unsupervised cluster analysis, supervised cluster analysis and fuzzy C-means cluster analysis, thereby producing a tissue reflectance image in which regional variations in tissue reflectance are mapped; and

calculating oxygen saturation index at individual pixels of the spectroscopic images by determining the relative ratio of HbO₂ and Hb concentrations using said spectral and spatial information, thereby producing an oxygen saturation image in which regional variations in oxygen saturation of the tissue portion are mapped;

wherein the grouped pixels in the tissue reflectance image and the oxygen saturation image identify regions of the tissue portion below a certain oxygen saturation threshold which will become necrotic without corrective measures and regions of the tissue portion above a certain oxygen saturation index threshold which will remain viable.

2. The non-invasive method according to claim 1 wherein the spectroscopic images are collected at least one wavelength channel selected from the group consisting of 430 nm, 530 nm, 565 nm, 760 nm, 830 nm, and 980 nm.

3. The non-invasive method according to claim 1 wherein pre-processing further comprises subtracting estimated topographical and illumination factors from the images.

4. The non-invasive method according to claim 2 wherein the at least one wavelength channel is selected from the group consisting of:

430 nm, 565 nm and 760 nm.

5. The non-invasive method according to claim 2 wherein the at least one wavelength channel is selected from the group consisting of:

530 nm and 830 nm.

6. The non-invasive method according to claim 2 wherein the at least one wavelength channel is 980 nm.