Tracking clutter filter for spectral & audio doppler

• US 20050054931A1
• Filed: 09/03/2004
• Published: 03/10/2005
• Est. Priority Date: 09/09/2003
• Status: Abandoned Application

• Current Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Original Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Clark, David W.
• Application Number:
  US10/933,551
• Publication Number:
  US 20050054931A1
• Time in Patent Office: Days
• 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: G01S 15/8981 Discriminating between fixed and moving objects or between objects moving at different speeds, e.g. wall clutter filter

Abstract

In an adaptive clutter filter for spectral Doppler imaging using an ultrasound system, the stopband center frequency and/or bandwidth of the clutter filter are effectively adjusted on a short time scale to better eliminate moving clutter while allowing low velocity bloodflow signals to pass through.

Claims

1. A method for adaptively filtering a clutter signal from a received echo signal from which spectral Doppler data will be generated, comprising the steps of:

transmitting ultrasonic waves into a sample volume;

receiving an echo signal from the sample volume;

making a short-term averaged correlation estimate of a clutter signal in the received echo signal;

adaptively filtering out the clutter signal from the received echo signal by using the short-term averaged correlation estimate and a clutter filter, wherein filter coefficients of the clutter filter are not changed by said step of adaptively filtering; and

analyzing the filtered signal in order to generate spectral Doppler data.

2. The method of claim 1, wherein the clutter filter is an IIR filter.

3. The method of claim 1, wherein a stopband of the clutter filter is fixed in at least one of width and center frequency.

4. The method of claim 1, wherein the step of adaptively filtering out the clutter signal from the received echo signal comprises the step of:

adapting the filtering to an estimated clutter signal at least 4 times a second.

5. The method of claim 1, wherein the step of making a short-term averaged correlation estimate comprises the step of:

low-pass filtering the received echo signal and using the low-pass filtered echo signal to make the short-term averaged correlation estimates.

6. The method of claim 1, wherein the step of making a short-term averaged correlation estimate comprises the steps of:

forming instantaneous correlation estimates of the clutter signal in the received echo signal; and

short-term averaging the instantaneous correlation estimates to make the short-term averaged correlation estimate.

7. The method of claim 6, wherein the step of forming instantaneous correlation estimates comprises the step of:

forming an instantaneous correlation estimate by multiplying a sample of the clutter signal by a complex conjugate of a previous sample.

8. The method of claim 7, wherein the previous sample is immediately previous to the current sample (instantaneous lag 1 correlation).

9. The method of claim 7, wherein the previous sample is more than one previous to the current sample.

10. The method of claim 6, wherein the step of short-term averaging the instantaneous correlation estimates to make the short-term averaged correlation estimate is performed by either a moving average filter (FIR) or an autoregressive (IIR) filter.

11. The method of claim 6, wherein the step of short-term averaging the instantaneous correlation estimates to make the short-term averaged correlation estimate is performed less than every sample, and there is enough overlap in the averaging to ensure that successive estimates change gradually.

12. The method of claim 6, wherein the step of short-term averaging the instantaneous correlation estimates to make the short-term averaged correlation estimate is performed such that the short-term averaged correlation estimate is limited to low frequency (small angle) to avoid adaptively filtering out rapid motion.

13. The method of claim 1, wherein the step of adaptively filtering out the clutter signal from the received echo signal comprises the step of at least one of:

effectively changing a center frequency of a stopband of the clutter filter; and

effectively changing a width of the stopband of the clutter filter.

14. The method of claim 13, wherein the clutter filter has a fixed stopband, and wherein the step of effectively changing a center frequency of a stopband of the clutter filter comprises the steps of:

complex rotating the received echo signal so that the clutter signal, as estimated by the short-term averaged correlation estimate, is shifted to the fixed stopband of the clutter filter;

filtering the complex rotated signal with the clutter filter;

complex rotating the clutter filtered signal so that the output signal is shifted back to the original location of the received echo signal.

15. The method of claim 14, wherein a complex rotation factor used in the step of complex rotating the clutter filtered signal so that the output signal is shifted back to the original location of the received echo signal is a variable-frequency local oscillator (LO), which is a unit-magnitude phasor whose phase is updated every sample by multiplying itself by the unit-magnitude version of a current short-term averaged correlation estimate.

16. The method of claim 14, wherein a complex rotation factor used in the step of complex rotating the received echo signal so that the clutter signal, as estimated by the short-term averaged correlation estimate, is shifted to the fixed stopband of the clutter filter is a complex conjugate of a complex rotation factor used in the step of complex rotating the clutter filtered signal so that the output signal is shifted back to the original location of the received echo signal.

17. The method of claim 13, wherein the clutter filter comprises a plurality of clutter filters, and wherein the step of effectively changing a width of the stopband of the clutter filter comprises the step of:

inputting the received echo signal into the plurality of clutter filters, wherein each of the plural clutter filters has a different fixed stopband.

18. The method of claim 17, wherein the step of effectively changing a width of the stopband of the clutter filter comprises the step of:

selecting an output from one of the plurality of clutter filters, wherein said selection is based upon a current short-term averaged correlation estimate.

19. The method of claim 17, wherein the step of effectively changing a width of the stopband of the clutter filter comprises the step of:

interpolating an output from plural outputs from the plural clutter filters, wherein said interpolation is based upon a current short-term averaged correlation estimate.

20. As system for adaptively filtering a clutter signal from a received echo signal from which spectral Doppler data will be generated, comprising:

an estimator for making a short-term averaged correlation estimate of a clutter signal in an echo signal received from a sample volume into which ultrasonic waves had been transmitted; and

a means for adaptively filtering out the clutter signal from the received echo signal by using the short-term averaged correlation estimate and a clutter filter with fixed filter coefficients.