Optical methods for tissue analysis

• US 7,231,243 B2
• Filed: 10/30/2001
• Issued: 06/12/2007
• Est. Priority Date: 10/30/2000
• Status: Expired due to Fees

• Current Assignee: The General Hospital Corporation (Mass General Brigham, Inc.)
• Original Assignee: The General Hospital Corporation (Mass General Brigham, Inc.)
• Inventors: Tearney, Guillermo J., Bouma, Brett E.
• Primary Examiner(s): Smith; Ruth S.
• Application Number:
  US10/016,244
• Publication Number:
  US 20020183601A1
• Time in Patent Office: 2,051 Days
• Field of Search: 600/310, 600/473, 600/160, 600/182, 600/407, 600475-479, 356/450, 356/457, 356/496, 356/498, 356/503, 356/511, 250/450, 250/496
• US Class Current: 600/407
• CPC Class Codes: A61B 1/00082 Balloons
• CPC Class Codes: A61B 1/0615 for radial illumination
• CPC Class Codes: A61B 1/07 using light-conductive means, e.g. optical fibres
• CPC Class Codes: A61B 5/0066 Optical coherence imaging
• CPC Class Codes: A61B 5/0068 Confocal scanning
• CPC Class Codes: A61B 5/0075 by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy A61B5/0071 takes precedence
• CPC Class Codes: A61B 5/0084 for introduction into the body, e.g. by catheters A61B5/1459 takes precedence
• CPC Class Codes: A61B 5/02007 Evaluating blood vessel condition, e.g. elasticity, compliance
• CPC Class Codes: A61B 5/6885 Monitoring or controlling sensor contact pressure
• CPC Class Codes: A61B 5/7207 of noise induced by motion artifacts
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: G01N 21/49 within a body or fluid

Abstract

The invention relates to methods and systems to optically analyze samples such as tissue based on speckle patterns of microscopic motion, such as Brownian motion.

Claims

1. A method of analyzing tissue, the method comprising:

illuminating a tissue with coherent or partially coherent light;

receiving light reflected from the tissue at a detector and forming series of speckle patterns;

analyzing changes in the speckle patterns at time intervals sufficient to measure changes caused by microscopic motion of objects within the tissue, wherein the tissue is at least one of in vivo or an internal tissue; and

compensating for macroscopic motion to isolate the microscopic motion.

2. The method of claim 1, wherein the microscopic motion is Brownian motion.

3. The method of claim 1, wherein the microscopic motion is motion of cells or cellular organelles.

4. The method of claim 1, wherein the illuminating step comprises providing an invasive device coupled to a light source, passing the device into a patient, placing the device in proximity to the tissue, and shining coherent or partially coherent light from the light source onto the tissue.

5. The method of claim 4, wherein the invasive device is selected from the group consisting of a catheter, an endoscope, and a laparoscope.

6. The method of claim 4, wherein the placing step includes placing the device in direct contact with the tissue.

7. The method of claim 1, wherein the coherent light comprises laser light.

8. The method of claim 1, wherein a detector is located farther than one wavelength of light from the tissue and detects far field speckle.

9. The method of claim 1, wherein a detector is located within one wavelength of light from the tissue and detects near field speckle.

10. The method of claim 1, wherein the analyzing step comprises comparing each of the series of speckle patterns to a series of reference speckle patterns, and quantifying the temporal correlation differences between the speckle patterns and the reference patterns.

11. The method of claim 10, wherein the analyzing step comprises digitizing each of the speckle patterns, and the quantifying step comprises evaluating a cross-correlation between the speckle patterns and the reference patterns.

12. The method of claim 11, wherein the analyzing step further comprises determining a decorrelation rate for the speckle patterns.

13. The method of claim 10, wherein the analyzing step comprises digitizing each of the speckle patterns, and the quantifying step comprises evaluating a maximum cross-correlation between the speckle patterns and the reference patterns.

14. The method of claim 1, wherein the analyzing step further comprises analyzing spatial characteristics of the speckle pattern to deduce structural characteristics of the tissue.

15. The method of claim 14, wherein the illuminating step comprises illuminating multiple locations of the tissue in succession, the receiving step comprises forming a separate series of speckle patterns for each respective section of the tissue, and the analyzing step comprises analyzing each separate series of speckle patterns and comparing the separate series to deduce structural differences between the respective locations of the tissue.

16. The method of claim 1, wherein the analyzing step further comprises analyzing spatial characteristics of the speckle pattern to deduce biomechanical characteristics of the tissue.

17. The method of claim 1, wherein the compensating for the macroscopic motion comprises performing the receiving step during a diastole of a heartbeat.

18. The method of claim 1, wherein the macroscopic motion comprises a patient motion.

19. The method of claim 1, wherein the macroscopic motion is peristalsis.

20. The method of claim 1, wherein the receiving step comprises gathering reflected light at a light receptor and transmitting the gathered light to a detector, and wherein compensating for macroscopic motion includes coupling the receptor to the tissue.

21. The method of claim 1, wherein the compensating for the macroscopic motion includes excluding changes in the speckle patterns caused by non-random motion during the analysis step.

22. The method of claim 1, wherein the tissue comprises an atherosclerotic plaque.

23. A method of analyzing tissue, the method comprising:

illuminating a tissue with coherent or partially coherent light;

receiving light reflected from the tissue at a detector and forming series of speckle patterns;

analyzing changes in the speckle patterns at time intervals sufficient to measure changes caused by a microscopic motion of objects within the tissue; and

compensating for a macroscopic motion to isolate the microscopic motion, wherein the macroscopic motion results from a motion or the deformation of the tissue.

24. A method of analyzing a tissue structure, the method comprising:

illuminating the tissue structure with coherent or partially coherent light;

receiving light reflected from the tissue structure at a detector and forming a series of speckle patterns;

gathering speckle pattern data at time intervals sufficient to measure microscopic motion within the tissue structure or adjacent tissue; and

assessing the tissue structure by analyzing spatial characteristics of the speckle pattern data to deduce structural or biomechanical characteristics of the tissue structure, wherein the tissue structure is at least one of in vivo or an internal tissue structure;

wherein the spatial characteristics are analyzed by assessing a thickness of the tissue structure; and

wherein the tissue structure thickness is assessed by;

(i) measuring the decorrelation time constant r as a function of r=(x₀²+y₀²)^1/2;

(ii) measuring optical properties of the tissue structure; and

(iii) comparing the measured optical properties and τ

(r) to a mathematical simulation that models light remittance as a function of tissue structure thickness.

25. The method of claim 24, wherein the optical properties are measured by computing first and second order statistics of a speckle probability distribution function or by using diffuse reflectance spectrophotometry.

26. The method of claim 24, wherein the mathematical simulation is a Monte Carlo simulation or diffusion theory simulation.

27. The method of claim 24, wherein the tissue structure comprises an atherosclerotic plaque.

28. A method of analyzing tissue which comprises an atherosclerotic plague, the method comprising:

illuminating a tissue with coherent or partially coherent light;

receiving light reflected from the tissue at a detector and forming series of speckle patterns;

analyzing changes in the speckle patterns at time intervals sufficient to measure changes caused by microscopic motion of objects within the tissue, wherein the tissue is at least one of in vivo or an internal tissue; and

gathering speckle pattern data at time intervals sufficient to measure microscopic motion within a lipid pool within the atherosclerotic plaque; and

assessing the atherosclerotic plaque'"'"'s vulnerability to rupture from the amount of microscopic motion.

29. The method of claim 28, further comprising analyzing spatial characteristics of the speckle pattern data to deduce structural characteristics of the plaque.

30. The method of claim 29, wherein analyzing comprises assessing the thickness of the fibrous cap.

31. The method of claim 30, wherein cap thickness is assessed by

(i) measuring the decorrelation time constant τ

as a function of r=(x₀²+y₀²)^1/2;

(ii) measuring optical properties of the cap; and

(iii) comparing the measured optical properties and τ

(r) to a mathematical simulation that models light remittance as a function of cap layer thickness.

32. The method of claim 31, wherein the optical properties are measured by computing first and second order statistics of a speckle probability distribution function or by using diffuse reflectance spectrophotometry.

33. The method of claim 31, wherein the mathematical simulation is a Monte Carlo simulation or diffusion theory simulation.

34. The method of claim 30, wherein a plaque is considered vulnerable to rupture if the thickness of the fibrous cap is less than about 60 microns.

35. The method of claim 30, wherein thickness of the fibrous cap is assessed by analyzing variation of τ

as a function of distance from a center of the speckle pattern as a function of (x₀²+y₀²)^1/2.

36. The method of claim 29, wherein analyzing comprises assessing the viscosity of the lipid pool.

37. The method of claim 28, wherein the microscopic motion is Brownian motion or cellular motion.

38. A method of analyzing tissue, the method comprising:

illuminating a tissue with coherent or partially coherent light, wherein the tissue comprises an atherosclerotic plaque;

receiving light reflected from the tissue at a detector and forming series of speckle patterns; and

analyzing changes in the speckle patterns at time intervals sufficient to measure changes caused by microscopic motion within a lipid pool within the atherosclerotic plaque; and

assessing the atherosclerotic plaque'"'"'s vulnerability to rupture from the amount of microscopic motion, wherein the plaque is considered vulnerable to rupture if the viscosity of the lipid pool has a time constant of less than about 200 milliseconds.

39. A method of analyzing tissue, the method comprising:

illuminating a tissue with coherent or partially coherent light, wherein the tissue comprises an atherosclerotic plaque;

receiving light reflected from the tissue at a detector and forming series of speckle patterns; and

analyzing changes in the speckle patterns at time intervals sufficient to measure changes caused by microscopic motion within a lipid pool within the atherosclerotic plaque; and

assessing the atherosclerotic plaque'"'"'s vulnerability to rupture from the amount of microscopic motion, wherein the plaque is considered likely to rupture if the viscosity of the lipid pool has a time constant of less than about 100 milliseconds.

40. A The method of analyzing a tissue structure of which comprises an atherosclerotic plaque, the method comprising:

illuminating the tissue structure with coherent or partially coherent light;

receiving light reflected from the tissue structure at a detector and forming a series of speckle patterns;

gathering speckle pattern data at time intervals sufficient to measure microscopic motion within the tissue structure or adjacent tissue; and

assessing the tissue structure by analyzing spatial characteristics of the speckle pattern data to deduce structural or biomechanical characteristics of the tissue structure, wherein the tissue structure is at least one of in vivo or an internal tissue structure, wherein tissue structure thickness is assessed by analyzing variation of τ

as a function of distance from a center of the speckle pattern as a function of (x₀²+y₀²)^1/2.

41. A method of analyzing tissue, comprising:

illuminating a tissue with coherent or partially coherent light;

receiving light reflected from the tissue at a detector and forming series of speckle patterns; and

analyzing changes in the speckle patterns at time intervals sufficient to measure changes caused by microscopic motion of objects within the tissue, wherein the tissue is at least one of in vivo or an internal tissue, wherein the analyzing step comprises measuring biomechanical properties of the tissue in three dimensions.

42. A method of analyzing a tissue structure, comprising:

illuminating the tissue structure with coherent or partially coherent light;

receiving light reflected from the tissue structure at a detector and forming a series of speckle patterns;

gathering speckle pattern data at time intervals sufficient to measure microscopic motion within the tissue structure or adjacent tissue; and

assessing the tissue structure by analyzing spatial characteristics of the speckle pattern data to deduce structural or biomechanical characteristics of the tissue structure, wherein the tissue structure is at least one of in vivo or an internal tissue structure, wherein the analysis of the special characteristics includes a measurement of biomechanical properties of the tissue in three dimensions.

43. A method of analyzing tissue, comprising:

illuminating a tissue with coherent or partially coherent light;

receiving light reflected from the tissue at a detector and forming series of speckle patterns; and

analyzing changes in the speckle patterns at time intervals sufficient to measure changes caused by microscopic motion of objects within the tissue, wherein the tissue is at least one of in vivo or an internal tissue, wherein the analyzing step comprises determining a collagen content of the tissue.

44. A method of analyzing tissue, comprising:

illuminating a tissue with coherent or partially coherent light;

receiving light reflected from the tissue at a detector and forming series of speckle patterns; and

analyzing changes in the speckle patterns at time intervals sufficient to measure changes caused by microscopic motion of objects within the tissue, wherein the tissue is at least one of in vivo or an internal tissue, wherein the analyzing step comprises determining a viscosity of a lipid pool within the tissue.

45. A method of analyzing a tissue structure, comprising:

illuminating the tissue structure with coherent or partially coherent light;

receiving light reflected from the tissue structure at a detector and forming a series of speckle patterns;

gathering speckle pattern data at time intervals sufficient to measure microscopic motion within the tissue structure or adjacent tissue; and

assessing the tissue structure by analyzing spatial characteristics of the speckle pattern data to deduce structural or biomechanical characteristics of the tissue structure, wherein the tissue structure is at least one of in vivo or an internal tissue structure, wherein the analysis of the special characteristics includes a determination of collagen content of the tissue.

46. A method of analyzing a tissue structure, comprising:

illuminating the tissue structure with coherent or partially coherent light;

receiving light reflected from the tissue structure at a detector and forming a series of speckle patterns;

gathering speckle pattern data at time intervals sufficient to measure microscopic motion within the tissue structure or adjacent tissue; and

assessing the tissue structure by analyzing spatial characteristics of the speckle pattern data to deduce structural or biomechanical characteristics of the tissue structure, wherein the tissue structure is at least one of in vivo or an internal tissue structure, wherein the analysis of the special characteristics includes a determination of analyzing comprises determining a viscosity of a lipid pool within the tissue.

47. A method of analyzing tissue, the method comprising:

illuminating a tissue with coherent or partially coherent light;

receiving light reflected from the tissue at a detector and forming series of speckle patterns;

analyzing changes in the speckle patterns at time intervals sufficient to measure changes caused by microscopic motion of objects within the tissue; and

at least partially replacing blood provided in or adjacent to the tissue with at least partially transparent solution.

48. A method of analyzing tissue, the method comprising:

illuminating a tissue with coherent or partially coherent light;

receiving light reflected from the tissue at a detector and forming series of speckle patterns;

analyzing changes in the speckle patterns at time intervals sufficient to measure changes caused by microscopic motion of objects within the tissue;

compensating for a macroscopic motion to isolate the microscopic motion, wherein the macroscopic motion results from a motion or the deformation of the tissue; and

at least partially replacing blood provided in or adjacent to the tissue with at least partially transparent solution.

49. A method of analyzing a tissue structure, comprising:

illuminating the tissue structure with coherent or partially coherent light;

receiving light reflected from the tissue structure at a detector and forming a series of speckle patterns;

gathering speckle pattern data at time intervals sufficient to measure microscopic motion within the tissue structure or adjacent tissue;

assessing the tissue structure by analyzing spatial characteristics of the speckle pattern data to deduce structural or biomechanical characteristics of the tissue structure, wherein the tissue structure is at least one of in vivo or an internal tissue structure; and

compensating for macroscopic motion to isolate the microscopic motion.

50. A method of analyzing a tissue structure, comprising:

illuminating the tissue structure with coherent or partially coherent light;

receiving light reflected from the tissue structure at a detector and forming a series of speckle patterns;

gathering speckle pattern data at time intervals sufficient to measure microscopic motion within the tissue structure or adjacent tissue;

assessing the tissue structure by analyzing spatial characteristics of the speckle pattern data to deduce structural or biomechanical characteristics of the tissue structure, wherein the tissue structure is at least one of in vivo or an internal tissue structure, wherein the tissue structure comprises an atherosclerotic plaque; and

gathering speckle pattern data at time intervals sufficient to measure microscopic motion within a lipid pool within the atherosclerotic plaque; and

assessing the atherosclerotic plaque'"'"'s vulnerability to rupture from the amount of microscopic motion.