Method and system for ultrasound enhanced-resolution spectral Doppler

• US 6,030,345 A
• Filed: 05/22/1997
• Issued: 02/29/2000
• Est. Priority Date: 05/22/1997
• Status: Expired due to Term

• Current Assignee: Acuson Corporation (Siemens AG)
• Original Assignee: Acuson Corporation (Siemens AG)
• Inventors: Wang, John S.
• Primary Examiner(s): Lateef, Marvin M.
• Assistant Examiner(s): PATEL, MAULIN M
• Application Number:
  US08/861,630
• Time in Patent Office: 1,013 Days
• Field of Search: 600/454, 600/518, 600/515, 600/455, 600/453
• US Class Current: 600/454
• CPC Class Codes: G01S 15/8979 Combined Doppler and pulse-echo imaging systems
• CPC Class Codes: G01S 7/52023 Details of receivers

Abstract

A method and system for generating data for a spectral Doppler strip in an ultrasound system includes a beamformer that provides Doppler data to a signal processor. The signal processor applies an autoregressive model and determines autoregressive parameters responsive to the Doppler data. Information responsive to the autoregressive parameters is generated, and a window function is applied to the information. At least one spectrum responsive to the autoregressive parameter is estimated with a Fourier transform.

Claims

1. A method of generating data for a spectral Doppler strip in an ultrasound system comprising the steps of:

providing Doppler data to an autoregressive model;

determining autoregressive parameters responsive to the Doppler data with said autoregressive model;

generating information responsive to said auto-regressive parameters; and

applying a window function to the information.

2. The method of claim 1 wherein said providing step comprises providing a number of Doppler data samples as a function of a pulse repetition interval.

3. The method of claim 1 wherein said determining step comprises calculating autoregressive coefficients using an algorithm selected from the group consisting of:

Burg, autocorrelation, and covariance.

4. The method of claim 3 wherein said generating step comprises generating approximate data as a function of a white noise signal and said autoregressive coefficients.

5. The method of claim 1 wherein said applying step comprises multiplying the information with a window function selected from the group consisting of:

Blackman, Blackman-Harris, Hamming, and Acuson.

6. The method of claim 2 wherein said window function comprises multiple window lengths and wherein said applying step comprises applying at least one of said window lengths as a function of said number of Doppler data samples.

7. The method of claim 1 further comprising the step of calculating a spectral estimate responsive to a Fourier transform of an output of said window function.

8. The method of claim 1 wherein said generating step comprises generating extrapolated data from said Doppler data;

and wherein said applying step comprises applying said window function to the Doppler data and the extrapolated data.

9. The method of claim 8 wherein said generating extrapolated data step comprises generating extrapolated data selected from the group consisting of:

forward data, backward data, and both forward and backward data from said Doppler data.

10. The method of claim 9 wherein said generating extrapolated data step comprises extrapolating data forward in time responsive to autoregressive parameters and extrapolating data backward in time responsive to a complex conjugate of said autoregressive parameters.

11. The method of claim 7 wherein said calculating step comprises creating a set of samples comprising at least one sample selected from the group consisting of:

responsive to a zero value sample added to the output of the window function and responsive to interpolating from said spectral estimate.

12. The method of claim 11:

wherein said window function is selected from a group of window functions with multiple window lengths;

wherein said applying step comprises selecting said window function as a function of a number of samples comprising said Doppler data and extrapolated data; and

wherein said calculating step comprises creating said set of samples comprising at least one sample responsive to a zero value sample added to the output of the window function and calculating said spectral estimate responsive to the Fourier transform of the output of said window function and of the zero value.

13. The method of claim 1:

wherein said providing step comprises providing a plurality of Doppler data sets responsive to a time shift and a set size;

wherein said generating information step comprises generating sets of extrapolated data from each of said Doppler data sets with said autoregressive parameters; and

wherein said applying step comprises applying said window function to each of said sets of Doppler data and extrapolated data.

14. A method of generating data for a spectral Doppler strip in an ultrasound system comprising the steps of:

providing Doppler data;

generating extrapolated data from said Doppler data; and

applying a window function to said Doppler data and said extrapolated data.

15. The method of claim 14 wherein said providing step comprises providing in phase and quadrature components of echo signals.

16. The method of claim 14 wherein said providing step comprises providing a number of Doppler data samples as a function of a pulse repetition interval.

17. The method of claim 14 further comprising the step of generating parameters responsive to the Doppler data with an autoregressive model.

18. The method of claim 17 wherein the step of generating parameters comprises calculating autoregressive parameters using an algorithm selected from the group consisting of:

Burg, autocorrelation, and covariance.

19. The method of claim 18 wherein said generating parameters step further comprises generating approximate data in response to a white noise signal and said autoregressive parameters.

20. The method of claim 14 wherein said applying step comprises multiplying the Doppler data and the extrapolated data with the window function selected from the group consisting of:

Blackman, Blackman-Harris, Hamming and Acuson.

21. The method of claim 16 wherein said window function is selected from a group of window functions with multiple window lengths and wherein said applying step comprises selecting said window function in response to said number of Doppler data samples.

22. The method of claim 14 further comprising the step of calculating a spectral estimate as a Fourier transform of an output of said window function.

23. The method of claim 14 wherein said generating extrapolated data step comprises extrapolating Doppler data in time selected from the group consisting of:

forward data, backward data, and both forward and backward data.

24. The method of claim 23 wherein said extrapolating step comprises extrapolating said Doppler data forward in time as a function of autoregressive parameters and extrapolating said Doppler data backward in time as a function of the complex conjugate of said autoregressive parameters.

25. The method of claim 22 further comprising the step of displaying the log magnitude of the spectral estimate.

26. The method of claim 22 wherein said calculating step comprises creating a set of samples comprising at least one sample selected from the group consisting of:

responsive to a zero value sample added to the output of the window function and responsive to interpolating from said spectral estimate.

27. The method of claim 26:

wherein said window function is selected from a group consisting of window functions with multiple window lengths;

wherein said applying step comprises selecting said window function as a function of a number of samples comprising said approximate data and extrapolated data; and

wherein said calculating step comprises creating said set of samples comprising at least one sample responsive to a zero value sample added to the output of the window function and calculating said spectral estimate responsive to the Fourier transform of the output of said window function and of said zero value.

28. The method of claim 14:

wherein said providing step comprises providing a plurality of Doppler data sets responsive to a time shift and a set size;

wherein said generating extrapolated data step comprises extrapolating data for each of said sets; and

wherein said applying step comprises applying said window function to each of said sets of Doppler data and extrapolated data.

29. A method of generating data for a spectral Doppler strip in an ultrasound system comprising the steps of:

providing Doppler data;

generating extrapolated data from said Doppler data; and

applying a Fourier transform to said Doppler data and said extrapolated data.

30. The method of claim 29 further comprising the step of determining autoregressive parameters from the Doppler data with an autoregressive model;

and wherein said generating step comprises generating extrapolated data responsive to said autoregressive parameters.

31. The method of claim 30 further comprising the step of applying a window function to said Doppler data and said extrapolated data.

32. A method of estimating data for a spectral Doppler display in an ultrasound system comprising the steps of:

generating at least one autoregressive parameter responsive to Doppler data;

estimating at least one spectrum responsive to said auto-regressive parameter with a Fourier transform; and

displaying a spectral strip responsive to said spectrum.

33. The method of claim 32 further comprising the step of applying a window function to said Doppler data and wherein the step of estimating comprises estimating said spectra responsive to an output of said window function.

34. The method of claim 33 wherein said applying step comprises applying said window function with a length responsive to a number of Doppler data samples.

35. The method of claim 32 wherein said estimating step comprises estimating said spectra with a short-time Fourier transform.

36. The method of claim 32 further comprising the step of generating extrapolated data from said Doppler data and wherein said estimating step comprises estimating said spectrum responsive to said Doppler data and said extrapolated data.

37. The method of claim 36 wherein the step of generating extrapolated data comprises extrapolating data forward in time responsive to said autoregressive parameters and backwards in time responsive to a complex conjugate of said autoregressive parameters.