Beamspace adaptive beamforming for ultrasound imaging

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Carl-Inge Colombo Nilsen, Ines Hafizovic

Abstract

Applying the Capon adaptive beamformer in medical ultrasound imaging results in enhanced resolution by improving the interference-suppressing capabilities of the array. This improvement comes at the expense of an increased computational complexity. We have investigated the application of a beamspace adaptive beamformer for medical ultrasound imaging, which can be used to achieve reduced computational complexity with performance comparable to that of the Capon beamformer. The idea behind beamspace beamforming is that, instead of using the spatial statistics of the elements in the array to differentiate between signals and interference, we use the spatial statistics of a set of orthogonal beams, which are formed in different directions. This represents a shift from element space to beamspace. Because the majority of interference in medical ultrasound imaging is constrained to a limited spatial interval due to the focused transmit beam, this latter space can be reduced to a dimension that is lower than that of element space. We show, using simulations and experimental data, that this dimension can be selected as low as 3 while still achieving performance comparable to its element space counterpart.

References

Mar 11, 2003·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Pai-Chi Li, Meng-Lin Li
Oct 19, 2005·IEEE Transactions on Medical Imaging·Zhisong WangRenbiao Wu
Aug 21, 2007·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Johan-Fredrik SynnevågSverre Holm
Apr 15, 2008·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Francois Vignon, Michael R Burcher
Mar 3, 2009·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Iben Kraglund HolfortJørgen Arendt Jensen
Oct 9, 2009·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Johan-Fredrik SynnevagSverre Holm

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Citations

Dec 19, 2015·Ultrasonics·Ali Mohades Deylami, Babak Mohammadzadeh Asl
Jun 25, 2014·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Jon Petter ÅsenSverre Holm
Jun 20, 2012·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Are Charles Jensen, Andreas Austeng
Dec 4, 2013·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Xing ZengYi Guo
May 2, 2012·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Babak Mohammadzadeh Asl, Ali Mahloojifar
Feb 1, 2012·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Bruno Madore, F Can Meral
May 2, 2012·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Sayed Mahmoud Sakhaei
May 27, 2014·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Kyuhong KimMooHo Bae
Jan 8, 2016·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Jongin ParkJin S Lee
Mar 3, 2015·Ultrasonics·Sayed Mahmoud Sakhaei
Jan 10, 2014·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Jon Petter ÅsenSverre Holm
Jul 23, 2016·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·MooHo BaeSung Jae Kwon
Sep 4, 2015·Ultrasonic Imaging·Babak Mohammadzadeh Asl
Mar 24, 2017·IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control·Ali Mohades Deylami, Babak Mohammadzadeh Asl
Sep 22, 2019·Journal of Medical Ultrasonics·Masume Sadeghi, Ali Mahloojifar
Sep 29, 2019·Scientific Reports·Asaf IlovitshKatherine W Ferrara
Feb 24, 2019·Journal of Medical Ultrasonics·Seyede Elham Shamsian, Sayed Mahmoud Sakhaei
Apr 5, 2017·The Journal of the Acoustical Society of America·Ping WangShi-Gang Cui
Jan 15, 2018·Ultrasonics·Babak Mohammadzadeh Asl, Ali Mohades Deylami

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