Electrical impedance method and apparatus for detecting and diagnosing diseases

• US 6,768,921 B2
• Filed: 12/28/2000
• Issued: 07/27/2004
• Est. Priority Date: 12/28/2000
• Status: Expired due to Term

• Current Assignee: ImpediMed Limited
• Original Assignee: Z-Tech Incorporated
• Inventors: Organ, Leslie W., Smith, Kenneth C., Safaee-Rad, Reza, Darmos, George P., Gavrilov, Ilya, Graovac, Milan
• Primary Examiner(s): MARMOR II, CHARLES ALAN
• Application Number:
  US09/749,613
• Publication Number:
  US 20020123694A1
• Time in Patent Office: 1,307 Days
• Field of Search: 600/300, 600/372-395, 600/517
• US Class Current: 600/547
• CPC Class Codes: A61B 2562/046 in a matrix array
• CPC Class Codes: A61B 5/0536 Impedance imaging, e.g. by tomography
• CPC Class Codes: A61B 5/282 Holders for multiple electrodes for introduction into the body A61B5/287

Abstract

The present invention relates to an improved method and apparatus for detecting and diagnosing disease states in a living organism by using a plurality of electrical impedance measurements. In particular, the invention provides for an improved electrode array for diagnosing the presence of a disease state in the human breast, and discloses a method of application of the array to the breast that ensures that the multiplicity of impedance measurements obtained from a first body part correspond as precisely and reproducibly as possible to the multiplicity of impedance measurements that are obtained from another, homologous, second body part. A number of diagnostic methods based on homologous electrical difference analysis are disclosed, including the calculation of a number of metrics used to indicate disease states by comparison with pre-established threshold values, and the construction of a number of graphical displays for indicating the location of disease to a body part sector.

Claims

1. A method of diagnosing the possibility of a disease state in one of first and second substantially similar parts of a living organism, the method comprising:

a) obtaining a plurality of impedance measurements across predetermined portions of each of the parts to produce first and second sets of impedance measurements, the first set for the first part and the second set for the second part, and wherein each measurement of the first set has a corresponding measurement in the second set when taken across corresponding portions of each of the parts;

b) identifying the set with a lower mean impedance value;

c) arranging each of the first and second sets in respective mathematical matrices;

d) creating an absolute difference matrix by subtracting each measurement of the set with the lower mean impedance value from the corresponding measurement of the other set; and

e) analyzing the absolute difference matrix to diagnose the possibility of a disease state.

2. A method according to claim 1 wherein the absolute difference matrix is used to calculate a matrix norm that is compared to a pre-established threshold to diagnose the possibility of a disease state.

3. A method according to claim 1 wherein the absolute difference matrix is used to calculate a matrix determinant that is compared to a pre-established threshold to diagnose the possibility of a disease state.

4. A method according to claim 1 wherein a sum of all of the values in the absolute difference matrix is calculated and compared to a pre-established threshold to diagnose the possibility of a disease state.

5. A method according to claim 1 wherein a visual display for diagnosing the location of a disease state is provided by summing the values in each of the absolute difference matrix columns and representing these sums in a bar graph.

6. A method according to claim 1 wherein a visual display for diagnosing the possibility of a disease state and a location thereof is provided by plotting the value of each element in the absolute difference matrix as a function of the location of the element in the matrix.

7. A method of diagnosing the possibility of a disease state in one of first and second substantially similar parts of a living organism, the method comprising:

a) obtaining a plurality of impedance measurements across predetermined portions of each of the parts to produce first and second sets of impedance measurements, the first set for the first part and the second set for the second part, and wherein each measurement of the first set has a corresponding measurement in the second set when taken across corresponding portions of each of the parts;

b) arranging each of the first and second sets arranged in respective mathematical matrices;

c) creating a relative difference matrix by calculating the relative differences between each measurement from the first set with the corresponding measurement of the second set; and

d) analyzing the relative difference matrix to diagnose the possibility of a disease state.

8. A method according to claim 7 wherein the relative difference matrix is used to calculate a matrix norm that is compared to a pre-established threshold to diagnose the possibility of a disease state.

9. A method according to claim 7 wherein the relative difference matrix is used to calculate a matrix determinant that is compared to a pre-established threshold to diagnose the possibility of a disease state.

10. A method according to claim 7 wherein a sum of all of the values in the relative difference matrix is calculated and compared to a pre-established threshold to diagnose the possibility of a disease state.

11. A method according to claim 7 wherein a visual display for diagnosing the location of a disease state is provided by summing the values in each of the relative difference matrix columns and representing these sums in a bar graph.

12. A method according to claim 7 wherein a visual display for diagnosing the possibility of a disease state and its a location thereof is provided by plotting the value of each element in the relative difference matrix as a function of the location of the element in the matrix.

13. A method of diagnosing the possibility of a disease state in one of first and second substantially similar parts of a living organism, the method comprising:

a) obtaining a plurality of impedance measurements across predetermined portions of each of the parts to produce first and second sets of impedance measurements, the first set for the first part and the second set for the second part, and wherein each measurement of the first set has a corresponding measurement in the second set when taken across corresponding portions of each of the parts;

b) calculating an impedance range by subtracting the minimum impedance measurement from either of the first and second sets from the maximum impedance measurement from such sets;

c) creating a plurality of numbered bins by subdividing the impedance range into smaller range sizes then numbering the smaller range sizes consecutively;

d) assigning a bin number to each of the impedance measurements from the first and second sets;

e) creating a bin difference set by subtracting the bin number of each impedance measurement from one of the first and second sets from the bin number of each corresponding impedance measurement of the other set; and

f) calculating a sum of all of the bin difference values in the bin difference set and comparing to a pre-established threshold to diagnose the possibility of a disease state.

14. A method of diagnosing the possibility of a disease state in one of first and second substantially similar parts of a living organism, the method comprising:

a) obtaining a plurality of impedance measurements across predetermined portions of each of the parts to produce first and second sets of impedance measurements, the first set for the first part and the second set for the second part, and wherein each measurement of the first set has a corresponding measurement in the second set when taken across corresponding portions of each of the parts;

b) calculating a first impedance range for the first set by subtracting the minimum impedance measurement from the maximum impedance measurement of that set, and calculating a second impedance range for the second set by subtracting the minimum impedance measurement from the maximum impedance measurement of that set;

c) creating a plurality of first numbered bins by subdividing the first impedance range into a first set of smaller range sizes then numbering the first set of smaller range sizes consecutively, and creating a plurality of second numbered bins by subdividing the second impedance range into a second set of smaller range sizes then numbering the second set of smaller range sizes consecutively;

d) assigning one of the first bin numbers to each of the impedance measurements from the first set, and assigning one of the second bin numbers to each of the impedance measurements from the second set;

e) creating a bin difference set by subtracting the bin number of each impedance measurement from one of the first and second sets from the bin number of each corresponding impedance measurement of the other set; and

f) analyzing the bin difference set to diagnose the possibility of a disease state.

15. A method according to claim 14 wherein a sum of all of the bin difference values in the bin difference set is calculated and compared to a pre-established threshold to diagnose the possibility of a disease state.

16. A method of diagnosing the possibility of a disease state in one of first and second substantially similar parts of a living organism, the method comprising:

a) obtaining a plurality of impedance measurements taken between a predetermined plurality of points encircling the parts to produce first and second sets of impedance measurements, the first set for the first part and the second set for the second part, and wherein each measurement of the first set has a corresponding measurement in the second set when taken between a corresponding plurality of points;

b) assigning a bin number to each of the impedance measurements from the first and second sets;

c) producing a bin chord plot for each of the parts by graphically depicting the plurality of points as nodes in an encircling path for each part and the impedance measurements taken between the plurality of points as a bin chord extending between the respective nodes;

d) dividing each graphical depiction into sectors; and

e) analyzing the bin chords that converge on a given node within a sector to diagnose the possibility of a disease state.

17. A method according to claim 16 wherein each sector graphically displays the total number of bin chords that converge on all the nodes included within that sector.

18. A method according to claim 16 wherein the difference between corresponding bin chords for each part is plotted as a bin difference chord on the graphical depiction for the part having a lower bin number.

19. A method according to claim 18 wherein the calculation of the number of bin difference chords that converge on a given node is weighted depending on the differences between bin numbers from the first set and corresponding bin numbers from the second set.

20. A method according to claim 19 wherein each sector graphically displays the total number of bin difference chords that converge on all the nodes included within that sector.

21. A method according to claim 16 wherein the bin numbers are created by subdividing an impedance range obtained by subtracting the minimum impedance measurement from either of the first and second sets from the maximum impedance measurement from such sets into smaller range sizes then numbering the smaller range sizes consecutively.

22. A method according to claim 16 wherein the bin numbers are created by subdividing a first impedance range obtained by subtracting the minimum impedance measurement from the maximum impedance measurement of the first set of impedance measurements into a first set of smaller range sizes then numbering the first set of smaller range sizes consecutively, and by subdividing a second impedance range obtained by subtracting the minimum impedance measurement from the maximum impedance measurement of the second set of impedance measurements into a second set of smaller range sizes then numbering the second set of smaller range sizes consecutively.

23. A method of diagnosing the possibility of a disease state in one of first and second substantially similar parts of a living organism, the method comprising:

a) obtaining a plurality of impedance measurements taken between a predetermined plurality of points encircling the parts to produce first and second sets of impedance measurements, the first set for the first part and the second set for the second part, and wherein each measurement of the first set has a corresponding measurement in the second set when taken between a corresponding plurality of points;

b) producing a pixel grid from a chord plot produced by the impedance measurements taken between the plurality of points; and

c) analyzing the pixel grid to diagnose the possibility of a disease state.

24. A method according to claim 23 wherein the intensity of a pixel in the pixel grid is determined from the chords that pass through the pixel.

25. A method according to claim 24 wherein the number of chords, the impedance value of a chord, and the size of a chord segment that passes through the pixel are used in determining the intensity of the pixel.

26. A method according to claim 25 wherein the intensity of the pixels in the pixel grid is equalized to account for differences in the number of chords and the size of chord segments that pass through the various pixels to produce a pixel grid wherein pixel intensity indicates impedance value only.

27. A method according to claim 26 wherein the impedance intensity of the pixels is displayed visually.

28. A method according to claim 27 wherein the visual display of the impedance intensity of the pixels is generated by a computer to produce a plurality of levels to represent different levels of intensity.

29. A method according to claim 28 wherein the visual display generated by the computer has 256 levels to represent different levels of intensity.

30. A method according to claim 28 wherein the pixel grid is a pixel difference plot derived by subtracting corresponding impedance pixels from the plurality of points of the first part and the second part.

31. A method according to claim 28 wherein the pixel grid is a pixel difference plot derived by calculating the relative difference between corresponding impedance pixels from the plurality of points of the first part and the second part.

32. A method according to claim 30 or 31 wherein a constant, pre-established scale factor is applied to the impedance intensity of the pixels.

33. A method according to claim 30 or 31 wherein the pixel grid is divided into sectors and each sector graphically displays the sum of the impedance intensities for all pixels that are within the sector.

34. A method according to claim 26 wherein a pixel difference set is obtained by subtracting the pixel impedance value from one of the first and second sets from the pixel impedance value from each corresponding impedance measurement of the other set and the pixel difference set is analyzed to diagnose the possibility of a disease state.

35. A method according to claim 24 wherein a sum of all of the pixel difference values in the pixel difference set is calculated and compared to a pre-established threshold to diagnose the possibility of a disease state.

36. A method according to claim 34 wherein the pixel difference set is a pixel algebraic difference grid obtained by subtracting corresponding pixel impedance values taken between the plurality of points of the first part and the second part.

37. A method according to claim 34 wherein the pixel difference set is a pixel relative difference grid derived by calculating the relative difference between corresponding impedance values taken from the plurality of points of the first part and the second part.

38. A method according to claim 36 or 37 wherein the pixel grid is divided into sectors with each sector graphically displaying a sum of the impedance values for all pixels within that sector.