Medical diagnostic ultrasound system and method for mapping surface data for three dimensional imaging

• US 6,443,894 B1
• Filed: 09/29/1999
• Issued: 09/03/2002
• Est. Priority Date: 09/29/1999
• Status: Expired due to Fees

• Current Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Original Assignee: Acuson Corporation (Siemens AG)
• Inventors: Schlesinger, Randall, Pang, Linyong, Jackson, John I., Sumanaweera, Thilaka S., Hossack, John A., Curley, Michael G.
• Primary Examiner(s): Lateef, Marvin M.
• Assistant Examiner(s): Imam, Ali M.
• Application Number:
  US09/408,302
• Time in Patent Office: 1,070 Days
• Field of Search: 600/437, 600/440, 600/441, 600/443, 600/447, 600/407, 600/439, 600/445, 600/453, 600/454, 600/455, 128/916, 345/429, 345/430, 345/431, 345/501, 345/425, 345/7, 345/9, 345/419, 345/421
• US Class Current: 600/443
• CPC Class Codes: A61B 5/062 using magnetic field
• CPC Class Codes: A61B 5/065 Determining position of the probe employing exclusively positioning means located on or in the probe, e.g. using position sensors arranged on the probe
• CPC Class Codes: A61B 5/066 Superposing sensor position on an image of the patient, e.g. obtained by ultrasound or x-ray imaging
• CPC Class Codes: A61B 5/067 using accelerometers or gyroscopes
• CPC Class Codes: A61B 6/503 for diagnosis of the heart
• CPC Class Codes: A61B 6/504 for diagnosis of blood vessels, e.g. by angiography
• CPC Class Codes: A61B 6/541 involving acquisition triggered by a physiological signal
• CPC Class Codes: A61B 8/0833 involving detecting or locating foreign bodies or organic structures
• CPC Class Codes: A61B 8/0858 involving measuring tissue layers, e.g. skin, interfaces
• CPC Class Codes: A61B 8/0891 for diagnosis of blood vessels
• CPC Class Codes: A61B 8/12 in body cavities or body tracts, e.g. by using catheters catheters per se A61M25/00
• CPC Class Codes: A61B 8/4254 using sensors mounted on the probe
• CPC Class Codes: A61B 8/4488 the transducer being a phased array
• CPC Class Codes: A61B 8/463 characterised by displaying multiple images or images and diagnostic data on one display composite display in devices for short-range imaging with acoustic waves G01S7/52074
• CPC Class Codes: A61B 8/481 involving the use of contrast agent, e.g. microbubbles introduced into the bloodstream analysis of echo signal exploiting properties of a contrast enhancer in devices for short-range imaging with acoustic waves G01S7/52039
• CPC Class Codes: A61B 8/483 involving the acquisition of a 3D volume of data
• CPC Class Codes: Y10S 128/916 Ultrasound 3-D imaging

Abstract

A method and system for mapping surface data onto a geometrical representation of a structure for 3D imaging is provided. A boundary of a structure is determined from one type of data, such as Doppler energy data. Another type of data, such as B-mode data, representing the boundary or an area adjacent the boundary is extracted or identified. The B-mode data is then rendered as a function of the boundary, such as by texture mapping the B-mode data onto or adjacent the boundary. As the user examines the structure representation, the texture mapped data may provide texture details based on an optimally determined representation. The boundary may alternatively be used to select data for volume rendering.

Claims

1. A medical diagnostic method for mapping data for three-dimensional imaging, the method comprising the acts of:

(a) determining a boundary from a set of a first type of ultrasound data representing a three dimensional region; and

(b) rendering an image from a set of a second, different type of ultrasound data representing the three-dimensional region wherein the rendering is performed as a function of the boundary.

2. The method of claim 1 wherein act (a) comprises determining the boundary from Doppler data.

3. The method of claim 2 wherein act (a) comprises determining the boundary from Doppler energy data.

4. The method of claim 3 wherein act (b) comprises rendering from B-mode data.

5. The method of claim 2 wherein act (b) comprises rendering from B-mode data.

6. The method of claim 1 wherein act (b) comprises rendering from B-mode data.

7. The method of claim 6 wherein the B-mode data is harmonic B-mode data.

8. The method of claim 1 wherein act (a) comprises applying a threshold to the set of the first type of ultrasound data.

9. The method of claim 1 wherein act (b) comprises rendering the image from data of the set of the second type of ultrasound data that represents the boundary.

10. The method of claim 1 wherein act (b) comprises surface rendering.

11. The method of claim 1 wherein act (b) comprises rendering selected from the group consisting of:

volume rendering and maximum intensity projection rendering.

12. The method of claim 11 wherein act (b) comprises:

(b1) selecting a sub-set of data from the set of the second type of ultrasound data, the sub-set of data being within a region adjacent the boundary;

(b2) volume rendering from the sub-set of data.

13. The method of claim 1 further comprising:

(c) texture mapping the set of the second type of ultrasound data onto the boundary.

14. The method of claim 1 wherein act (b) comprises perspective projection rendering.

15. The method of claim 1 further comprising:

(c) rendering as a function of a user selectable visual position.

16. The method of claim 15 further comprising:

(d) generating a plurality of images as a function of changing position data from a user interface.

17. The method of claim 1 further comprising:

(c) determining a second boundary;

wherein the second type of data comprises a distance between the boundary and the second boundary.

18. The method of claim 17 further comprising:

(d) assigning a color as a function of the distance.

19. The method of claim 1 further comprising:

(c) determining a second boundary;

wherein the second type of data comprises data representing locations between the boundary and the second boundary of the group consisting of;

representation of an amount of plaque, an amount of contrast agent, an estimate of tissue perfusion, an estimate to tissue viability, and combinations thereof.

20. The method of claim 1 wherein act (b) comprises rendering from electric potential data.

21. The method of claim 1 wherein at least one of the first and second types of data are acquired from a transducer within a body, the transducer comprising one of the group consisting of:

a catheter mounted transducer, a transesophageal transducer and a endocavity transducer.

22. The method of claim 1 further comprising:

(c) aligning the set of the first type of data with the set of the second type of data.

23. The method of claim 22 wherein acts (c) comprises interleaving acquisition of the sets.

24. The method of claim 1 wherein the first type of data comprises one of harmonic and fundamental B-mode data and the second type of data comprises the other of:

harmonic and fundamental B-mode data.

25. The method of claim 1 wherein acts (a) comprises determining the boundary from B-mode data.

26. The method of claim 1 further comprising:

(c) representing a portion of a device in the image.

27. The method of claim 1 further comprising:

(c) repeating (b) as a function of time.

28. The method of claim 1 further comprising:

(c) combining data from a neighborhood adjacent the boundary wherein (b) comprises rendering from the second type of data that is responsive to (c).

29. A medical diagnostic ultrasound system for mapping data for three-dimensional imaging, the system comprising:

a boundary processor for determining a boundary from a set of a first type of ultrasound data representing a three dimensional region;

a three-dimensional image processor for rendering an image from a set of a second different type of ultrasound data representing the three-dimensional region as a function of the boundary; and

a display for displaying the image.

30. The system of claim 29 further comprising a Doppler processor wherein the boundary is determined from Doppler data.

31. The system of claim 30 further comprising a B-mode processor wherein the image is rendered from B-mode data.

32. The system of claim 29 further comprising a B-mode processor wherein the image is rendered from B-mode data.

33. The system of claim 29 wherein the boundary processor is operable to apply a threshold to the set of the first type of ultrasound data.

34. The system of claim 29 wherein the three-dimensional image processor is operable to render the image from data of the set of the second type of ultrasound data that is at the boundary.

35. The system of claim 29 wherein three-dimensional image processor is operable to surface render the image.

36. The system of claim 29 wherein the three-dimensional image processor is operable to select a sub-set of data from the set of the second type of ultrasound data, the sub-set of data being within a region adjacent the boundary, and to volume render from the sub-set of data.

37. The system of claim 29 wherein in the three-dimensional image processor is operable to texture map the set of the second type of ultrasound data onto the boundary.

38. The system of claim 29 wherein the image comprises an endoscopic rendering.

39. The system of claim 29 further comprising a user interface, the rendering being a function of a user selectable visual position.

40. The system of claim 29 wherein the boundary processor is operable to determine a second boundary, where the second type of data comprises a distance between the boundary and the second boundary.

41. The system of claim 29 wherein the boundary processor is operable to determine a second boundary, where the second type of data comprises data representing locations between the boundary and the second boundary of the group consisting of:

representation of an amount of plaque, an amount of contrast agent, an estimate of tissue perfusion, an estimate to tissue viability, and combinations thereof.

42. The system of claim 29 wherein the three-dimensional image processor is operable to render the image from electric potential data.

43. The system of claim 29 wherein at least one of the first and second types of data are acquired from a transducer within a body, the transducer comprising one of the group consisting of:

a catheter mounted transducer, a transesophageal transducer and a endocavity transducer.

44. A medical diagnostic method for mapping data for three-dimensional imaging, the method comprising the acts of:

(a) determining a boundary from a set of Doppler data representing a three dimensional region;

(b) texture mapping data from a set of B-mode data representing the three-dimensional region onto the boundary; and

(c) rendering an image as a function of (b).

45. The method of claim 44 wherein act (c) comprises perspective projection rendering.

46. The method of claim 44 wherein act (a) comprises determining the boundary from Doppler energy data.

47. The method of claim 44 wherein act (a) comprises applying a threshold to the set of Doppler data.

48. The method of claim 44 wherein act (c) comprises surface rendering.

49. The method of claim 44 wherein act (b) comprises selecting data from the set of B-mode data that spatially corresponds to the boundary.

50. The method of claim 44 wherein act (c) comprises perspective projection rendering.

51. The method of claim 50 wherein act (c) comprises rendering as a function of a user selectable visual position.

52. The method of claim 44 wherein at least one of the first and second types of data are acquired from a transducer within a body, the transducer comprising one of the group consisting of:

a catheter mounted transducer, a transesophageal transducer and a endocavity transducer.

53. The method of claim 44 further comprising:

(d) aligning the set of Doppler data with the set of B-mode data.

54. The method of claim 53 wherein acts (d) comprises interleaving acquisition of the sets.