Method of detection of cancerous lesions by their effect on the spatial distribution of modulation of temperature and homogeneity of tissue

• US 5,961,466 A
• Filed: 05/27/1998
• Issued: 10/05/1999
• Est. Priority Date: 01/03/1995
• Status: Expired due to Fees

• Current Assignee: Omnicorder Technologies, Inc. (Advanced BioPhotonics, Inc.)
• Original Assignee: Omnicorder Technologies, Inc. (Advanced BioPhotonics, Inc.)
• Inventors: Anbar, Michael
• Primary Examiner(s): Casler, Brian L.
• Application Number:
  US09/085,627
• Time in Patent Office: 496 Days
• Field of Search: 600/474, 600/473, 600/475, 600/549, 600/310
• US Class Current: 600/474
• CPC Class Codes: A61B 2010/008 Interstitial fluid
• CPC Class Codes: A61B 5/015 By temperature mapping of body part
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: G01N 33/574 for cancer
• CPC Class Codes: G01N 33/57415 of breast
• CPC Class Codes: G06T 2207/10048 Infrared image
• CPC Class Codes: G06T 2207/20056 Discrete and fast Fourier transform, [DFT, FFT]
• CPC Class Codes: G06T 2207/30088 Skin; Dermal
• CPC Class Codes: G06T 7/0012 Biomedical image inspection
• CPC Class Codes: G06T 7/42 using transform domain methods

Abstract

A method for measuring the periodicity of changes in blood perfusion over large regions of skin so as to identify a locally impaired neuronal control, thereby providing a quick and inexpensive screening test for relatively shallow neoplastic lesions, such as breast cancer, is described. The present method is predicated on infrared imaging of the skin to detect changes in the spectral structure and spatial distribution of thermoregulatory frequencies (TRFs) over different areas of the skin.

Claims

1. A method of detecting cancerous tissue, comprising the steps of:

a) recording a plurality of infrared images of a predetermined area of skin;

b) converting each of the plurality of infrared images into corresponding thermal images;

c) subdividing the predetermined area of skin into a plurality of subareas;

d) calculating an average temperature value for the plurality of thermal images of a selected one of the subareas, wherein the average temperature value for the selected subarea constitutes a time series for that subarea;

e) repeating the procedure of steps a) to d) on the remaining subareas of the predetermined area of the skin; and

f) analyzing the average temperature value of the time series of each of the subareas, wherein when a spatial distribution of the average temperature value of a cluster comprising at least six congruent subareas is less than about 20% or more than 100% of the average temperature of the plurality of subareas, that cluster is determined to be cancerous.

2. The method of claim 1 including analyzing the average temperature value of each of the plurality of subareas to determine a contributing frequency of each average temperature value and displaying a presentation of the relative amplitude value of each frequency of the subareas, wherein when a spatial distribution of the amplitude of a given frequency of the cluster is less than about 25% or more than 100% of the average amplitude value of that frequency of the plurality of subareas, that cluster is determined to be cancerous.

3. The method of claim 1 wherein when the spatial distribution of the average temperature amplitude of the cluster is less than about 10% of the average amplitude of the plurality of subareas, that cluster is determined to be cancerous.

4. The method of claim 1 wherein the infrared images are converted to corresponding digital thermal images.

5. The method of claim 1 including providing the infrared image of a field of 256×

256 pixels.

6. The method of claim 1 including recording about 128 to 1024 thermal images.

7. The method of claim 6 wherein the thermal images are recorded consecutively.

8. The method of claim 6 including recording the thermal images in a period of about 10 to 60 seconds.

9. The method of claim 1 including subdividing the predetermined area of skin into the plurality of subareas of about 24 to 100 square millimeters of skin based on a 256×

256 pixel field.

10. The method of claim 1 including subdividing the predetermined area of skin into a plurality of subareas of about 4 to 16 pixels.

11. The method of claim 1 including analyzing the computed average temperature value of the selected subarea using a fast Fourier transform analysis.

12. The method of claim 1 including determining that the predetermined area of skin is of cancerous tissue.

13. The method of claim 1 including determining that the predetermined area of skin is of non-cancerous tissue.

14. The method of claim 1 including determining that the predetermined area of skin includes both non-cancerous tissue and cancerous tissue.

15. The method of claim 1 including recording the infrared images using either a HgCdTi or a GaAs quantum-well infrared photodetector.

16. The method of claim 1 including providing the presentation as a color-coded bitmap.

17. The method of claim 1 including subjecting the predetermined are of skin to either a cooling or warming air flow.

18. The method of claim 1 wherein the predetermined area of skin is a human breast.

19. A method of detecting cancerous tissue, comprising the steps of:

a) recording a plurality of infrared images of a predetermined area of skin;

b) converting each of the plurality of infrared images into corresponding thermal images;

c) subdividing the predetermined area of skin into a plurality of subareas;

d) calculating an average temperature value and a temperature standard deviation for the plurality of thermal images of each of the subareas;

e) dividing the average temperature by the standard deviation of each of the subareas to derive a homogeneity of skin temperature (HST) value for each subarea, wherein the HST value for each subarea constitutes a time series for that subarea; and

f) analyzing the HST value of the time series of each of the subareas, wherein when a spatial distribution of the HST value of a cluster comprising at least six congruent subareas is less than about 20% or more than 100% of the average HST value of the plurality of subareas, that cluster is determined to be cancerous.

20. The method of claim 19 including analyzing the HST value of each of the plurality of subareas to determine a contributing frequency of each HST value and displaying a presentation of the relative amplitude value of each frequency of the plurality of subareas, wherein when a spatial distribution of the amplitude of a given frequency of the cluster is less than about 20% or more than 100% of the average HST value of the plurality of subareas, that cluster is determined to be cancerous.

21. The method of claim 19 wherein the infrared images are converted to corresponding digital thermal images.

22. The method of claim 19 including providing the infrared image of a field of 256×

256 pixels.

23. The method of claim 19 including recording about 128 to 1024 thermal images.

24. The method of claim 23 including recording the thermal images in a period of about 10 to 60 seconds.

25. The method of claim 19 including subdividing the predetermined area of skin into the plurality of subareas of about 24 to 100 square millimeters of skin based on a 256×

256 pixel field.

26. The method of claim 19 including subdividing the predetermined area of skin into a plurality of subareas of about 4 to 16 pixels.

27. The method of claim 19 including analyzing the computed average temperature value of the selected subarea using a fast Fourier transform analysis.

28. The method of claim 19 including providing the presentation as a color-coded bitmap.

29. The method of claim 19 including subjecting the predetermined area of skin to either a cooling or warming air flow.

30. A method of detecting cancerous tissue, comprising the steps of:

a) recording a plurality of infrared images of a predetermined area of skin;

b) converting each of the plurality of infrared images into corresponding thermal images;

c) subdividing the predetermined area of skin into a plurality of subareas;

d) calculating an average temperature value and a temperature standard deviation for the plurality of thermal images of a selected one of the subareas, wherein the temperature standard deviation value for the selected subarea constitutes a time series for that subarea;

e) repeating the procedure of steps a) to d) on the remaining subareas of the predetermined area of the skin; and

f) analyzing the temperature standard deviation value of the time series of each of the subareas, wherein when a spatial distribution of the temperature standard deviation value of a cluster comprising at least six congruent subareas is less than about 20% or more than 100% of the temperature standard deviation of the plurality of subareas, that cluster is determined to be cancerous.

31. The method of claim 30 including analyzing the temperature standard deviation value of each of the plurality of subareas to determine a contributing frequency of each temperature standard deviation value and displaying a presentation of the relative amplitude value of each frequency of the subareas, wherein when a spatial distribution of the amplitude of a given frequency of the cluster is less than about 25% or more than 100% of the average amplitude value of that frequency of the plurality of subareas, that cluster is determined to be cancerous.

32. A method of detecting cancerous tissue, comprising the steps of:

a) recording a plurality of infrared images of a predetermined area of skin;

b) converting each of the plurality of infrared images into corresponding thermal images;

c) subdividing the predetermined area of skin into a plurality of subareas;

d) calculating an average temperature value and a temperature for the plurality of thermal images of a selected one of the subareas, wherein the average temperature standard deviation value for the selected subarea constitutes a time series for that subarea;

e) repeating the procedure of steps a) to d) on the remaining subareas of the predetermined area of the skin;

f) analyzing the average temperature value of the time series of each of the subareas, wherein when a spatial distribution of the average temperature value of a cluster comprising at least six congruent subareas is less than about 20% or more than 100% of the average temperature of the plurality of subareas, that cluster is determined to be cancerous, and if a cluster is determined to be cancerous;

g) dividing the average temperature by the standard deviation of each of the subareas to derive a homogeneity of skin temperature (HST) value for each subarea, wherein the HST value for each subarea constitutes an HST time series for that subarea; and

h) analyzing the HST value of the time series of each of the subareas, wherein when a spatial distribution of the HST value of a cluster comprising at least six congruent subareas is less than about 20% or more than 100% of the average HST value of the plurality of subareas, that cluster is determined to be cancerous.