SNR Comparisons of Beamforming Strategies

This paper defines the echo signal-to-noise ratio (eSNR) for pulse-echo systems that adapts to the effects of shift-varying impulse responses, spatiotemporal coding, and various beamformers. Measurement techniques using point targets or random scattering media can be interrelated for a broad range of experimental conditions through the eSNR. The eSNR definitions are also illustrated by comparing a spatial matched filter (SMF) beamformer to conventional dynamic receive focusing methods to evaluate performance based on resolution arid sensitivity. Closed-form expressions are presented that predict eSNR gains from SMF approaches relative to other beamformers

[1]  Harry L. Van Trees,et al.  Detection, Estimation, and Modulation Theory, Part I , 1968 .

[2]  M.F. Insana,et al.  Linear system models for ultrasonic imaging: application to signal statistics , 2003, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[3]  C. Abbey,et al.  Linear approach to axial resolution in elasticity imaging , 2004, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[4]  K. Thomenius,et al.  Evolution of ultrasound beamformers , 1996, 1996 IEEE Ultrasonics Symposium. Proceedings.

[5]  Craig K. Abbey,et al.  Detection performance theory for ultrasound imaging systems , 2005, IEEE Transactions on Medical Imaging.

[6]  William F. Walker,et al.  Significance of correlation in ultrasound signal processing , 2001, SPIE Medical Imaging.

[7]  Edward C. Farnett,et al.  CHAPTER 10 PULSE COMPRESSION RADAR , 2007 .

[8]  M. Melamed Detection , 2021, SETI: Astronomy as a Contact Sport.

[9]  Jie Liu,et al.  Efficient array beam forming by spatial filtering for ultrasound B-mode imaging. , 2006, The Journal of the Acoustical Society of America.

[10]  M O'Donnell,et al.  Retrospective dynamic transmit focusing. , 1995, Ultrasonic imaging.

[11]  J. Jensen,et al.  Calculation of pressure fields from arbitrarily shaped, apodized, and excited ultrasound transducers , 1992, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[12]  B. Friemel,et al.  Relative performance of two-dimensional speckle-tracking techniques: normalized correlation, non-normalized correlation and sum-absolute-difference , 1995, 1995 IEEE Ultrasonics Symposium. Proceedings. An International Symposium.

[13]  F. R. Stepanishen Acoustic transients from planar axisymmetric vibrators using the impulse response approach , 1977 .

[14]  M Fatemi,et al.  Ultrasonic B-scan imaging: theory of image formation and a technique for restoration. , 1980, Ultrasonic imaging.

[15]  J.A. Jensen,et al.  Improved accuracy in the estimation of blood velocity vectors using matched filtering , 2000, 2000 IEEE Ultrasonics Symposium. Proceedings. An International Symposium (Cat. No.00CH37121).

[16]  Victor C. Chen Detection of signal in noise using optimum wavelet receiver , 1993, Optics & Photonics.

[17]  R. F. Wagner,et al.  Gray level transforms and lesion detectability in echographic images. , 1988, Ultrasonic imaging.

[18]  R. F. Wagner,et al.  Statistics of Speckle in Ultrasound B-Scans , 1983, IEEE Transactions on Sonics and Ultrasonics.

[19]  M. O'Donnell,et al.  Retrospective Dynamic Transmit Focusing , 1995 .

[20]  G. Tupholme Generation of acoustic pulses by baffled plane pistons , 1969 .

[21]  Jie Liu,et al.  Beamforming using spatio-temporal filtering , 2005, IEEE Ultrasonics Symposium, 2005..