Double Delay Multiplication and Accumulation Beamforming Algorithm Based on Weighting Factor

doi:10.12068/j.issn.1005-3026.2021.07.008

Abstract

Abstract: In order to solve the problem that the double delay multiplication and accumulation algorithm in ultrasonic imaging is not suitable for high noise environments， a double delay multiplication and accumulation algorithm based on mean-standard deviation weighting factor， namely RD-DMAS algorithm， is proposed. The weighted factor has a significant effects on solving the image speckle problem caused by strong noises， and the dual delay multiplication and accumulation beamforming algorithm can greatly improve the resolution of ultrasonic imaging， so the new method can obtain high resolution and high contrast image reconstruction. The algorithm was simulated in point scattering target replicas， cyst replicas and noise environments， and the results show that the RD-DMAS has the smallest sidelobe and narrower main lobe. The contrast ratios(CR)of DAS， DMAS， DS-DMAS and RD-DMAS were 9.72， 11.72， 13.28 and 19.86， respectively. RD-DMAS provides the best imaging performance regardless of noise in the environment.

Key words: beamforming algorithm; weighting factor; delay multiplication and accumulation; ultrasonic imaging; image reconstruction

CLC Number:

TN911.7

BAO Xi-rong， LI Zheng-shuang， GAO Hao-sen， ZHANG Shi. Double Delay Multiplication and Accumulation Beamforming Algorithm Based on Weighting Factor[J]. Journal of Northeastern University(Natural Science), 2021, 42(7): 960-965.

References

[1]Capon J.High-resolution frequency-wavenumber spectrum analysis［J］.Proceedings of the IEEE，1969，57(8):1408-1418.
[2]Synnevag J F，Austeng A，Holm S.Adaptive beamforming applied to medical ultrasound imaging［J］.IEEE Transactions on Ultrasonics，Ferroelectrics，and Frequency Control，2007，54(8):1606-1613.
[3]Synnevag J，Austeng A，Holm S.Benefits of minimum-variance beamforming in medical ultrasound imaging［J］.IEEE Transactions on Ultrasonics，Ferroelectrics，and Frequency Control，2009，56(9):1868-1879.
[4]Zhao J，Wang Y，Yu J，et al.Subarray coherence based postfilter for eigenspace based minimum variance beamformer in ultrasound planewave imaging［J］.Ultrasonics，2016，65(2):23-33.
[5]Diamantis K，Greenaway A，Anderson T，et al.Experimental performance assessment of the sub-band minimum variance beamformer for ultrasound imaging［J］.Ultrasonics， 2017，79(6):87-95.
[6]Asl B M，Mahloojifar A.Minimum variance beamforming combined with adaptive coherence weighting applied to medical ultrasound imaging［J］.IEEE Transactions on Ultrasonics，Ferroelectrics，and Frequency Control，2009，56(9):1923-1931.
[7]Asl B M，Mahloojifar A.Eigenspace-based minimum variance beamforming applied to medical ultrasound imaging［J］.IEEE Transactions on Ultrasonics，Ferroelectrics，and Frequency Control，2010，57(11):2381-2390.
[8]Nilsen C C，Holm S.Wiener beamforming and the coherence factor in ultrasound imaging［J］.IEEE Transactions on Ultrasonics，Ferroelectrics，and Frequency Control，2010，57(6):1329-1346.
[9]Li P C，Li M L.Adaptive imaging using the generalized coherence factor［J］.IEEE Transactions on Ultrasonics，Ferroelectrics，and Frequency Control，2003，50(2):128-141.
[10]Camacho J，Parrilla M，Fritsch C，Phase coherence imaging［J］.IEEE Transactions on Ultrasonics，Ferroelectrics，and Frequency Control，2009，56(5):958-974.
[11]Zhang Y，Guo Y，Lee W.Ultrafast ultrasound imaging using combined transmissions with cross-coherence-based reconstruction［J］.IEEE Transactions on Medical Imaging，2018，37(2):337-348.
[12]Alles E J，Jaeger M，Bamber J C.Photoacoustic clutter reduction using short-lag spatial coherence weighted imaging［C］//2014 IEEE International Ultrasonics Symposium.Chicago，2014:41-44.
[13]Chau G，Lavarello R，Dahl J.Short-lag spatial coherence weighted minimum variance beamformer for plane-wave images［C］//2016 IEEE International Ultrasonics Symposium(IUS).Tours，2016:1-3.
[14]Graham M T，Bell MAL.Theoretical application of short-lag spatial coherence to photoacoustic imaging［C］//2017 IEEE International Ultrasonics Symposium(IUS).Washington D C，2017:1-4.
[15]Zheng C，Zha Q，Zhang L，et al.Signal eigenvalue factor for synthetic transmit aperture ultrasound imaging［J］.IEEE Access，2018，6(6):495-503.
[16]Bandaru R S，Sornes A R，Hermans J，et al.Delay and standard deviation beamforming to enhance specular reflections in ultrasound imaging［J］.IEEE Transactions on Ultrasonics，Ferroelectrics，and Frequency Control，2016，63(12):2057-2068.
[17]Hideyuki H，Ryo N.Singular value decomposition filter for speckle reduction in adaptive ultrasound imaging［J/OL］.Japanese Journal of Applied Physics，2019，58(2019-07-01)［2020-12-20］.https://iopscience.iop.org/article/10.7567/1347-4065/ab0ad6.
[18]Matrone G，Savoia A S，Caliano G，et al.The delay multiply and sum beamforming algorithm in ultrasound B-mode medical imaging［J］.IEEE Transactions on Medical Imaging， 2015，34(4):940-949.
[19]Matrone G，Savoia A S，Caliano G，et al.Ultrasound synthetic aperture with the delay multiply and sum beamforming algorithm［C］// International Conference of the IEEE Engineering in Medicine and Biology Society(EMBC).Milan，2015:137-140.
[20]Mardi Z，Mahloojifar A.Signal to noise ratio improvement of ultrasound harmonic images using coded excitation and adaptive line enhancer［C］//Iranian Conference onElectrical Engineering(ICEE).Mashhad，2018:1446-1449.
[21]Lyons R.Quadrature signals，complex， but not complex［EB/OL］.(2018-11-15)［2020-03-05］.https://dspguru.com/files/QuadSignals.pdf.
[22]Song K，Liu P，Liu D C.Recursively apply delay multiply and sum beamforming algorithm to enhance quality of ultrasonic image［J］.Journal of Medical Imaging and Health Informatics，2019，9(5):1028-1036.