PMID: 9447669Jul 1, 1997Paper

Statistical analysis of strain images estimated from overlapped and filtered echo signals

Ultrasonic Imaging
M BilgenP Chaturvedi

Abstract

The visibility of soft-tissue lesions in strain imaging is currently limited by strain noise from waveform decorrelation. Attempts to balance noise reduction with concerns for contrast and spatial resolution rely on accurate models of time delay covariance for guidance. The most useful analytical models describe the covariance of time-varying time delay estimates in terms of experimental parameters and tissue deformation patterns. Assuming compressed tissue deforms linearly along the axis of the sound beam, we derived a delay covariance expression for echo data with Gaussian spectra that were filtered by a Gaussian window function before correlation. The Gaussian filter reduced the number of assumptions needed to obtain closed-form expressions and minimized the effects of strain within the correlation window. However, strain images are often made using uniformly weighted (sinc filtered) window functions. This paper compares time delay covariances for these two window functions, and describes an equivalent window duration at which delay variances for Gaussian and uniform windows are equal. At the equivalent window length, the analysis can be used to predict strain errors for either window function. Finally, this paper uses the d...Continue Reading

References

Apr 1, 1995·Ultrasonic Imaging·I CéspedesS Spratt
Apr 1, 1993·Ultrasonic Imaging·I Céspedes, J Ophir
May 1, 1996·The Journal of the Acoustical Society of America·M Bilgen, M F Insana
Feb 1, 1997·The Journal of the Acoustical Society of America·M Bilgen, M F Insana
Feb 1, 1997·The Journal of the Acoustical Society of America·M Bilgen, M F Insana

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Citations

Mar 30, 2000·The Journal of the Acoustical Society of America·M F InsanaY Zhu
Apr 30, 2017·Scientific Reports·Xuejun QianQifa Zhou

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