Automatic optimization methods and systems for doppler ultrasound imaging

• US 6,733,454 B1
• Filed: 02/26/2003
• Issued: 05/11/2004
• Est. Priority Date: 02/26/2003
• Status: Active Grant

• Current Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Original Assignee: Siemens Medical Solutions USA Incorporated (Siemens AG)
• Inventors: Ramamurthy, Bhaskar, Bakircio{haeck over (g)}lu, Müge M.
• Primary Examiner(s): Imam, Ali M
• Application Number:
  US10/374,258
• Time in Patent Office: 440 Days
• Field of Search: 600/437-472, 735/95--40, 367/7, 367/11, 367/130, 367/138, 342/88, 342/162, 382/128, 375/200-342, 607/9, 607/17, 607/16, 607/27
• US Class Current: 600/453
• CPC Class Codes: A61B 8/06 Measuring blood flow measuring volume flow in general G01F, e.g. G01F1/66, G01F1/72; measuring speed of fluids in general G01P5/00
• CPC Class Codes: A61B 8/5276 due to motion
• CPC Class Codes: G01S 15/8981 Discriminating between fixed and moving objects or between objects moving at different speeds, e.g. wall clutter filter
• CPC Class Codes: G01S 7/52033 Gain control of receivers for seismic signals G01V1/245
• CPC Class Codes: G01S 7/5205 Means for monitoring or calibrating

Abstract

Methods and systems are provided for automatic optimization of spectral Doppler ultrasound imaging. One or more of the velocity scale (e.g., pulse repetition frequency), gain, baseline, dynamic range or other imaging parameters are optimized based on one or both of: (1) determining the optimum parameter based on data acquired at a standard or predetermined setting of the parameters and (2) identifying an artifact in the Doppler ultrasound data and discarding or minimizing the influence of the artifact on any determination of imaging parameter settings. One embodiment used for cardiac Doppler imaging identifies artifact signals using the maximum or minimum traces. For example, the velocity scale or pulse repetition frequency is set based on the maximum or minimum velocity value over one or more heartbeats identified from a maximum and minimum trace of the signal envelope or Doppler spectrum. Since flows in cardiology may contain high energy, high velocity, short duration signals caused by valve clicks, these artifacts are identified and discarded in determining the maximum and minimum values.

Claims

1. A method for automatic optimization in Doppler ultrasound imaging, the method comprising:

(a) identifying at least a first signal in a plurality of signals from a gate position in a patient;

(b) substantially discarding the at least first signal from the plurality of signals; and

(c) automatically setting at least one of;

a pulse repetition frequency, a baseline position, a gain and a dynamic range as a function of the plurality of signals after substantially discarding the at least first signal.

2. The method of claim 1 wherein (c) comprises setting the pulse repetition frequency.

3. The method of claim 1 wherein (c) comprises setting the baseline position.

4. The method of claim 1 wherein (c) comprises setting the back-end gain.

5. The method of claim 1 wherein (c) comprises setting the dynamic range.

6. The method of claim 1 wherein (c) comprises setting as a function of a maximum and minimum velocity signal of the plurality of signals over a time period.

7. The method of claim 1 further comprising:

(d) determining at least one of a maximum and minimum velocity of the plurality of signals as a function of time;

wherein (a) comprises identifying the first signal as a function of a discontinuity in the at least one of the maximum and minimum velocity as a function of time.

8. The method of claim 1 further comprising:

(d) determining at least one of a maximum and minimum velocity of the plurality of signals as a function of time;

wherein (a) comprises identifying the first signal as a function of integrated energy for velocity signals between the maximum and minimum as a function of time.

9. The method of claim 1 further comprising:

(d) determining at least one of a maximum and minimum velocity of the plurality of signals as a function of time;

wherein (a) comprises identifying the first signal as a function of a change in gradient in the Doppler spectrum as a function of time.

10. The method of claim 1 further comprising:

(d) determining at least one of a maximum and minimum velocity of the plurality of signals as a function of time;

wherein (a) comprises identifying the first signal as a function of a deviation from an expected pattern.

11. The method of claim 1 further comprising:

(d) determining at least one of a maximum and minimum velocity of the plurality of signals as a function of time;

wherein (a) comprises identifying the first signal as a function of a template match.

12. The method of claim 1 wherein (a) comprises identifying the first signal as corresponding to a valve click, (b) comprises discarding the first signal and (c) comprises setting as a function of at least one of:

a minimum velocity, a maximum velocity and the amplitude of the Doppler spectrum.

13. A system for automatic optimization in Doppler ultrasound imaging, the system comprising:

a Doppler processor for detecting a plurality of signals corresponding to a gate position in a patient; and

an optimization processor for identifying at least a first signal from the plurality of signals, substantially discarding the at least first signal from the plurality of signals, and automatically setting at least one of;

a pulse repetition frequency, a baseline position, a gain and a dynamic range as a function of the plurality of signals after substantially discarding the at least first signal.

14. The system of claim 13 wherein the optimization processor is operable to setting the pulse repetition frequency.

15. The system of claim 13 wherein the optimization processor is operable to set one of the pulse repetition frequency and baseline position as a function of a maximum and minimum signal of the plurality of signals over a time period.

16. The system of claim 13 wherein the optimization processor is operable to determine at least one of a maximum and minimum velocity trace of the plurality of signals as a function of time and identify the first signal as a function of at least one of:

a discontinuity in the at least one of the maximum and minimum trace, integrated energy for velocity signals between the maximum and minimum trace, a change in gradient in the Doppler spectrum, a deviation from an expected pattern in the Doppler spectrum, and a template match with the at least one of the maximum trace, the minimum trace and the Doppler spectrum.

17. A method for automatic optimization in cardiology Doppler ultrasound imaging, the method comprising:

(a) determining maximum and minimum velocity traces in a Doppler spectrum as a function of time;

(b) identifying portions of the maximum and minimum traces corresponding to a valve click; and

(c) automatically setting an imaging parameter as a function of the maximum and minimum traces without the identified portions.

18. The method of claim 17 wherein (c) comprises automatically setting the imaging parameter as at least one of:

a pulse repetition frequency and a baseline position.

19. The method of claim 17 wherein (b) comprises identifying the portions as a function of at least one of:

discontinuities in the maximum and minimum traces, integrated energy for velocity signals between the maximum and minimum traces, a change in gradient of Doppler spectrum, a deviation from an expected pattern in the Doppler spectrum, and a template match with one of the maximum trace, the minimum trace and the Doppler spectrum.

20. The method of claim 17 wherein (c) comprises automatically setting a velocity scale.

21. A method for automatic optimization in Doppler ultrasound imaging, the method comprising:

(a) acquiring spectral Doppler information in response to a pre-determined value of an imaging parameter from the group of;

a pulse repetition frequency, a baseline position, a gain and a dynamic range, the pre-determined value independent of a user setting of the imaging parameter; and

(b) automatically re-setting at least one of;

the pulse repetition frequency, the baseline position, the gain and the dynamic range as a function of the spectral Doppler information acquired in (a).

22. The method of claim 21 wherein (a) comprises acquiring the spectral Doppler information in response to a pre-determined pulse repetition frequency comprising a substantially greatest pulse repetition frequency given a transmit frequency.

23. The method of claim 21 wherein (a) comprises acquiring the spectral Doppler information in response to a pre-determined gain.

24. The method of claim 21 wherein (a) comprises acquiring the spectral Doppler information in response to a pre-determined dynamic range comprising a substantially maximum dynamic range.

25. The method of claim 21 wherein (b) comprises adjusting the imaging parameter from the pre-determined value without user adjustment of the imaging parameter.

26. The method of claim 21 wherein (a) comprises acquiring the spectral Doppler information in response to a plurality of pre-determined values comprising the pulse repetition frequency, the baseline position, the gain and the dynamic range, and (b) comprises automatically re-setting each of the pulse repetition frequency, the baseline position, the gain and the dynamic range as a function of the spectral Doppler information acquired in (a).

27. The method of claim 21 wherein (a) comprises acquiring noise data and signal data and (b) comprises automatically resetting as a function of both the noise data and the signal data.

28. The method of claim 21 further comprising:

(c) determining at least one of maximum and minimum velocity traces in the spectral Doppler information as a function of time;

(d) identifying at least a first signal in the at least one of maximum and minimum velocity traces; and

(b) substantially discarding the at least first signal from the at least one of maximum and minimum velocity traces;

wherein (b) comprises automatically re-setting as a function of the at least one of maximum and minimum traces after substantially discarding the at least first signal.