Method and apparatus for elasticity imaging

• US 7,223,241 B2
• Filed: 12/16/2004
• Issued: 05/29/2007
• Est. Priority Date: 12/16/2004
• Status: Expired due to Fees

• Current Assignee: Hitachi, Ltd.
• Original Assignee: Aloka Company Limited (Hitachi, Ltd.)
• Inventors: Radulescu, Emil G.
• Primary Examiner(s): Jaworski; Francis J.
• Application Number:
  US11/014,320
• Publication Number:
  US 20060173320A1
• Time in Patent Office: 894 Days
• Field of Search: 600437-438, 600/440, 600/443, 600/447, 128/916, 73573-575, 735/79, 735/96, 736/45
• US Class Current: 600/443
• CPC Class Codes: A61B 8/08 Detecting organic movements or changes, e.g. tumours, cysts, swellings A61B8/02 - A61B8/06 take precedence
• CPC Class Codes: A61B 8/485 involving measuring strain or elastic properties
• CPC Class Codes: G01S 15/8977 using special techniques for image reconstruction, e.g. FFT, geometrical transformations, spatial deconvolution, time deconvolution
• CPC Class Codes: G01S 7/52042 determining elastic properties of the propagation medium or of the reflective target diagnostic techniques involving the measurement of strain A61B8/485
• CPC Class Codes: G01S 7/5205 Means for monitoring or calibrating
• CPC Class Codes: G01S 7/52073 Production of cursor lines, markers or indicia by electronic means
• CPC Class Codes: G01S 7/52074 Composite displays, e.g. split-screen displays; Combination of multiple images or of images and alphanumeric tabular information

Abstract

A computational efficient algorithm for compression analysis of free-hand static elasticity imaging performed using medical diagnostic ultrasound imaging equipment offers tissue compression quality and quantity feedback to the operator. The algorithm includes a criterion for automatic selection of the most advantageous pre- and post-compression frame pairs delivering elasticity images of optimal dynamic ranges (DR) and signal-to-noise ratios (SNR). The use of the algorithm in real time eases operator training and reduces significantly the amount of artifact in the elasticity images while lowering the computational burden.

Claims

1. A method for performing elasticity imaging using an ultrasound system, comprising:

setting a region of interest about an ultrasound image;

compressing cyclically a biological tissue;

acquiring at least one of a plurality of RF frame data at an imaging-relevant frame rate;

analyzing said at least one of said plurality of RF frame data using a compression feedback algorithm;

displaying a comparison of a quantitative indication of said at least one of said plurality of RF frame data across at least one displacement to a threshold value across said at least one displacement;

determining an acceptable compression value based upon said comparison;

determining said compression is satisfactory; and

displaying an elasticity image of said biological tissue at said imaging-relevant frame rate.

2. The method of claim 1, wherein setting said region of interest comprises applying a freehand compression fixture to said biological tissue.

3. The method of claim 2, wherein applying said freehand compression fixture comprises applying an ultrasonic transducer probe.

4. The method of claim 1, wherein setting said region of interest comprises applying a motorized compression fixture.

5. The method of claim 1, wherein analyzing said at least one of said plurality of RF frame data using said compression feedback algorithm comprises

selecting a first RF frame data of said plurality of RF frame data as a reference RF frame for said plurality of RF frame data;

comparing said plurality of RF frame data following said reference RF frame with said reference RF frame using a block matching algorithm;

performing said comparison step across an axial displacement and a lateral displacement;

determining a quantitative indication of a tissue compression quality for each of said plurality of RF frame data across a lateral displacement and an axial displacement; and

averaging said quantitative indications for said plurality of RF frame data across said lateral displacement and said axial displacement and generating a cumulated lateral displacement and a cumulated axial displacement for said plurality of RF frame data.

6. The method of claim 1, wherein displaying visually said comparison comprises

displaying a comparison of a cumulated lateral displacement for said plurality of RF frame data to a threshold value across a lateral displacement;

and

displaying a comparison of a cumulated axial displacement for said plurality of RF frame data to a threshold value across an axial displacement.

7. The method of claim 1, wherein determining said acceptable compression value comprises

achieving an acceptable compression when an absolute value of a cumulated lateral displacement for said plurality of RF frame data is less than a threshold value across said lateral displacement, and a cumulated axial displacement for said plurality of RF frame data is less than an upper threshold boundary and greater than a lower threshold boundary across an axial displacement.

8. The method of claim 1, wherein determining said acceptable compression value comprises

achieving an acceptable compression when an absolute value of a cumulated lateral displacement for said plurality of RF frame data is less than a threshold value across said lateral displacement, and a cumulated axial displacement for said plurality of RF frame data is less than a lower threshold boundary across an axial displacement, wherein said cumulated axial displacement is a positive value.

9. The method of claim 1, wherein determining said acceptable compression value comprises

achieving an acceptable compression when an absolute value of a cumulated lateral displacement for said plurality of RF frame data is less than a threshold value across said lateral displacement, and a cumulated axial displacement for said plurality of RF frame data is greater than a lower threshold boundary and less than an upper threshold boundary across an axial displacement, wherein said cumulated axial displacement is a negative value.

10. The method of claim 1, wherein determining said acceptable compression value comprises

achieving an acceptable compression when an absolute value of a cumulated lateral displacement for said plurality of RF frame data is less than a threshold value across said lateral displacement, and a cumulated axial displacement for said plurality of RF frame data is greater than an upper threshold boundary across an axial displacement, wherein said cumulated axial displacement is a negative value.

11. The method of claim 1, further comprising displaying one or more statistical, quantitative and qualitative diagrams of data of said elasticity image and of said at least one of said plurality of RF frame data.

12. The method of claim 1, further comprising displaying one or more statistical, quantitative or qualitative diagrams of data of said elasticity image and of said at least one of said plurality of RF frame data.

13. The method of claim 1, further comprising displaying one or more statistical, quantitative and qualitative diagrams of data of said elasticity image or of said at least one of said plurality of RF frame data.

14. The method of claim 1, further comprising displaying one or more statistical, quantitative or qualitative diagrams of data of said elasticity image or of said at least one of said plurality of RF frame data.

15. The method of claim 1, further comprising archiving said at least one of said plurality of RF frame data and said elasticity image.

16. The method of claim 1, further comprising generating an audio recording of each of said steps and storing said audio recordings.

17. The method of claim 1, further comprising decompressing cyclically said biological tissue.

18. The method of claim 1, further comprising the additional step of generating an elasticity image of said biological tissue based upon achieving an acceptable compression prior to displaying said elasticity image.

19. A method for performing elasticity imaging using an ultrasound system, comprising:

setting a region of interest about an ultrasound image;

compressing cyclically a biological tissue;

acquiring at least one of a plurality of RF frame data at an imaging-relevant frame rate;

analyzing said at least one of said plurality of RF frame data using a compression feedback algorithm;

displaying a comparison of a quantitative indication of said at least one of said plurality of RF frame data across a cumulated axial displacement to a threshold value across said cumulated axial displacement;

displaying a comparison of a quantitative indication of said at least one of said plurality of RF frame data across a cumulated lateral displacement to a threshold value across said cumulated lateral displacement;

determining an acceptable compression threshold value based upon said comparisons;

determining said compression is satisfactory;

generating an elasticity image of said biological tissue based upon said comparisons; and

displaying said elasticity image of said biological tissue at said imaging-relevant frame rate.

20. An ultrasound elasticity imaging system, comprising:

an ultrasound system in communication with a compression fixture;

an elasticity imaging module in communication with said b-mode and strain imaging display unit; and

means for providing feedback predicting a strain image quality related to a tissue compression quality prior to computing a strain image, said means for providing feedback is in communication with said ultrasound system, said elasticity imaging module and said combined b-mode and strain imaging display unit.

21. The ultrasound elasticity imaging system of claim 20, wherein said compression fixture is a freehand compression fixture.

22. The ultrasound elasticity imaging system of claim 20, wherein said compression fixture is a motorized compression fixture.

23. The ultrasound elasticity imaging system of claim 20, wherein ultrasound system comprises a combined transmission and reception hardware, a beamformer module and a scan converter module.

24. The ultrasound elasticity imaging system of claim 20, wherein said elasticity imaging module comprises a displacement estimator algorithm, a strain calculator module and a scan converter.

25. The ultrasound elasticity imaging system of claim 20, further comprising a display unit capable of displaying one or more statistical, quantitative and qualitative diagrams of data of said elasticity and of said at least one of said plurality of RF frame data.

26. The ultrasound elasticity imaging system of claim 20, wherein said means for providing feedback comprises a compression feedback algorithm capable of generating at an imaging relevant frame rate an elasticity image of a biological tissue integrated with said ultrasound system.

27. An apparatus for performing elasticity imaging on an ultrasound image, comprising a set of instructions for performing elasticity imaging embodied in a computer readable storage medium of an ultrasound elasticity imaging system, wherein said set of instructions comprise:

an instruction to set a region of interest about an ultrasound image using a compression fixture;

an instruction to compress cyclically a biological tissue using said compression fixture;

an instruction to acquire at least one of a plurality of RF frame data at an imaging-relevant frame rate;

an instruction to analyze said at least one of said plurality of RF frame data using means for providing feedback predicting a strain image quality related to a tissue compression quality prior to computing a strain image;

an instruction to display a comparison of a quantitative indication of said at least one of said plurality of RF frame data across at least one displacement to a threshold value across said at least one displacement;

an instruction to determine an acceptable compression value based upon said comparison;

an instruction to determine said compression is satisfactory; and

an instruction to display an elasticity image of said biological tissue at said imaging-relevant frame rate.

28. The apparatus of claim 27, wherein said instruction to analyze comprises

an instruction to select a first RF frame data of said plurality of RF frame data as a reference RF frame for said plurality of RF frame data;

an instruction to compare said plurality of RF frame data following said reference RF frame with said reference RF frame using a block matching algorithm;

an instruction to perform said comparison step across an axial displacement and a lateral displacement;

an instruction to determine a quantitative indication of a tissue compression quality for each of said plurality of RF frame data across a lateral displacement and an axial displacement; and

an instruction to average said quantitative indications for said plurality of RF frame data across said lateral displacement and said axial displacement and generating a cumulated lateral displacement and a cumulated axial displacement for said plurality of RF frame data.

29. The apparatus of claim 27, wherein said instruction to display visually said comparison comprises

an instruction to display a comparison of a cumulated lateral displacement for said plurality of RF frame data to a threshold value across a lateral displacement;

and

an instruction to display a comparison of a cumulated axial displacement for said plurality of RF frame data to a threshold value across an axial displacement.

30. The apparatus of claim 27, wherein said instruction to determine said acceptable compression value comprises

an instruction to achieve an acceptable compression when an absolute value of a cumulated lateral displacement for said plurality of RF frame data is less than a threshold value across said lateral displacement, and a cumulated axial displacement for said plurality of RF frame data is less than an upper threshold boundary and greater than a lower threshold boundary across an axial displacement.

31. The apparatus of claim 27, wherein said instruction to determine said acceptable compression value comprises

an instruction to achieve an acceptable compression when an absolute value of a cumulated lateral displacement for said plurality of RF frame data is less than a threshold value across said lateral displacement, and a cumulated axial displacement for said plurality of RF frame data is less than a lower threshold boundary across an axial displacement, wherein said cumulated axial displacement is a positive value.

32. The apparatus of claim 27, wherein said instruction to determine said acceptable compression value comprises

an instruction to achieve an acceptable compression when an absolute value of a cumulated lateral displacement for said plurality of RF frame data is less than a threshold value across said lateral displacement, and a cumulated axial displacement for said plurality of RF frame data is greater than a lower threshold boundary and less than an upper threshold boundary across an axial displacement, wherein said cumulated axial displacement is a negative value.

33. The apparatus of claim 27, wherein said instruction to determine said acceptable compression value comprises

an instruction to achieve an acceptable compression when an absolute value of a cumulated lateral displacement for said plurality of RF frame data is less than a threshold value across said lateral displacement, and a cumulated axial displacement for said plurality of RF frame data is greater than an upper threshold boundary across an axial displacement, wherein said cumulated axial displacement is a negative value.

34. The apparatus of claim 27, further comprising an instruction to generate an elasticity image of said biological tissue based upon achieving an acceptable compression prior to executing said instruction to display said elasticity image.

35. The apparatus of claim 27, further comprising an instruction to display one or more statistical, quantitative and qualitative diagrams of data of said elasticity image and of said at least one of said plurality of RF frame data.

36. The apparatus of claim 27, further comprising an instruction to display one or more statistical, quantitative or qualitative diagrams of data of said elasticity image and of said at least one of said plurality of RF frame data.

37. The apparatus of claim 27, further comprising an instruction to display one or more statistical, quantitative and qualitative diagrams of data of said elasticity image or of said at least one of said plurality of RF frame data.

38. The apparatus of claim 27, further comprising an instruction to display one or more statistical, quantitative or qualitative diagrams of data of said elasticity image or of said at least one of said plurality of RF frame data.

39. The apparatus of claim 27, further comprising an instruction to archive said at least one of said plurality of RF frame data and said elasticity image.

40. The apparatus of claim 27, further comprising an instruction to generate an audio recording of each of said steps and store said audio recordings.

41. The apparatus of claim 27, further comprising an instruction to decompress cyclically said biological tissue.

42. An article of manufacture, comprising:

a computer usable medium having a set of instruction means embodied therein for performing elasticity imaging on an ultrasound image, said computer usable medium comprising;

a set of instructions to set a region of interest about an ultrasound image using a compression fixture;

a set of instructions to compress cyclically a biological tissue using said compression fixture;

a set of instructions to acquire at least one of a plurality of RF frame data at an imaging-relevant frame rate;

a set of instructions to analyze said at least one of said plurality of RF frame data using a compression feedback algorithm;

a set of instructions to display a comparison of a quantitative indication of said at least one of said plurality of RF frame data across at least one displacement to a threshold value across said at least one displacement;

a set of instructions to determine an acceptable compression value based upon said comparison; and

a set of instructions to display an elasticity image of said biological tissue at said imaging-relevant frame rate.

43. The article of manufacture of claim 42, wherein said set of instructions to analyze comprises

a set of instructions to select a first RF frame data of said plurality of RF frame data as a reference RF frame for said plurality of RF frame data;

a set of instructions to compare said plurality of RF frame data following said reference RF frame with said reference RF frame using a block matching algorithm;

a set of instructions to perform said comparison step across an axial displacement and a lateral displacement;

a set of instructions to determine a quantitative indication of a tissue compression quality for each of said plurality of RF frame data across a lateral displacement and an axial displacement; and

a set of instructions to average said quantitative indications for said plurality of RF frame data across said lateral displacement and said axial displacement and generating a cumulated lateral displacement and a cumulated axial displacement for said plurality of RF frame data.

44. The article of manufacture of claim 42, wherein said set of instructions to display visually said comparison comprises

a set of instructions to display a comparison of a cumulated lateral displacement for said plurality of RF frame data to a threshold value across a lateral displacement;

and

a set of instructions to display a comparison of a cumulated axial displacement for said plurality of RF frame data to a threshold value across an axial displacement.

45. The article of manufacture of claim 42, wherein said set of instructions to determine said acceptable compression value comprises

a set of instructions to achieve an acceptable compression when an absolute value of a cumulated lateral displacement for said plurality of RF frame data is less than a threshold value across said lateral displacement, and a cumulated axial displacement for said plurality of RF frame data is less than an upper threshold boundary and greater than a lower threshold boundary across an axial displacement.

46. The article of manufacture of claim 42, wherein said set of instructions to determine said acceptable compression value comprises

a set of instructions to achieve an acceptable compression when an absolute value of a cumulated lateral displacement for said plurality of RF frame data is less than a threshold value across said lateral displacement, and a cumulated axial displacement for said plurality of RF frame data is less than a lower threshold boundary across an axial displacement, wherein said cumulated axial displacement is a positive value.

47. The article of manufacture of claim 42, wherein said set of instructions to determine said acceptable compression value comprises

a set of instructions to achieve an acceptable compression when an absolute value of a cumulated lateral displacement for said plurality of RF frame data is less than a threshold value across said lateral displacement, and a cumulated axial displacement for said plurality of RF frame data is greater than a lower threshold boundary and less than an upper threshold boundary across an axial displacement, wherein said cumulated axial displacement is a negative value.

48. The article of manufacture of claim 42, wherein said set of instructions to determine said acceptable compression value comprises

a set of instructions to achieve an acceptable compression when an absolute value of a cumulated lateral displacement for said plurality of RF frame data is less than a threshold value across said lateral displacement, and a cumulated axial displacement for said plurality of RF frame data is greater than a upper threshold boundary across an axial displacement, wherein said cumulated axial displacement is a negative value.

49. The article of manufacture of claim 42, further comprising a set of instructions to generate an elasticity image of said biological tissue based upon achieving an acceptable compression prior to executing said instruction to display said elasticity image.

50. A program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform method steps for performing elasticity imaging on an ultrasound image, comprising:

setting a region of interest about an ultrasound image using a compression fixture;

compressing cyclically a biological tissue using said compression fixture;

acquiring at least one of a plurality of RF frame data at an imaging-relevant frame rate;

analyzing said at least one of said plurality of RF frame data using a compression feedback algorithm;

displaying a comparison of a quantitative indication of said at least one of said plurality of RF frame data across at least one displacement to a threshold value across said at least one displacement;

determining an acceptable compression value based upon said comparison; and

displaying an elasticity image of said biological tissue at said imaging-relevant frame rate.

51. The program storage device of claim 50, wherein analyzing said at least one of said plurality of RF frame data using said compression feedback algorithm comprises

selecting a first RF frame data of said plurality of RF frame data as a reference RF frame for said plurality of RF frame data;

comparing said plurality of RF frame data following said reference RF frame with said reference RF frame using a block matching algorithm;

performing said comparison step across an axial displacement and a lateral displacement;

determining a quantitative indication of a tissue compression quality for each of said plurality of RF frame data across a lateral displacement and an axial displacement; and

averaging said quantitative indications for said plurality of RF frame data across said lateral displacement and said axial displacement and generating a cumulated lateral displacement and a cumulated axial displacement for said plurality of RF frame data.

52. The program storage device of claim 50, wherein displaying visually said comparison comprises

displaying a comparison of a cumulated lateral displacement for said plurality of RF frame data to a threshold value across a lateral displacement;

and

displaying a comparison of a cumulated axial displacement for said plurality of RF frame data to a threshold value across an axial displacement.

53. The program storage device of claim 50, wherein determining said acceptable compression value comprises

achieving an acceptable compression when an absolute value of a cumulated lateral displacement for said plurality of RF frame data is less than a threshold value across said lateral displacement, and a cumulated axial displacement for said plurality of RF frame data is less than an upper threshold boundary and greater than a lower threshold boundary across an axial displacement.

54. The program storage device of claim 50, wherein determining said acceptable compression value comprises

achieving an acceptable compression when an absolute value of a cumulated lateral displacement for said plurality of RF frame data is less than a threshold value across said lateral displacement, and a cumulated axial displacement for said plurality of RF frame data is less than a lower threshold boundary across an axial displacement, wherein said cumulated axial displacement is a positive value.

55. The program storage device of claim 50, wherein determining said acceptable compression value comprises

achieving an acceptable compression when an absolute value of a cumulated lateral displacement for said plurality of RF frame data is less than a threshold value across said lateral displacement, and a cumulated axial displacement for said plurality of RF frame data is greater than a lower threshold boundary and less than an upper threshold boundary across an axial displacement, wherein said cumulated axial displacement is a negative value.

56. The program storage device of claim 50, wherein determining said acceptable compression value comprises

achieving an acceptable compression when an absolute value of a cumulated lateral displacement for said plurality of RF frame data is less than a threshold value across said lateral displacement, and a cumulated axial displacement for said plurality of RF frame data is greater than an upper threshold boundary across an axial displacement, wherein said cumulated axial displacement is a negative value.

57. The program storage device of claim 50, further comprising the additional step of generating an elasticity image of said biological tissue based upon achieving an acceptable compression prior to displaying said elasticity image.