Separable Beamforming For 3-D Medical Ultrasound Imaging

Three-dimensional ultrasound imaging is a promising medical imaging technology because of its ease of use and improved accuracy in diagnosis. However, its high computational complexity and resulting high power consumption has precluded its use in hand-held applications. In this paper, we present a separable beamforming method that greatly reduces computational complexity. Our method is based on decomposing the delay term in a way that minimizes the root-mean-square error caused by the decomposition. We analyze tradeoffs between the approximation error caused by the decomposition and computational complexity. Then, we present enhancements to the Sonic Millip3De hardware accelerator for ultrasound beamforming to implement separable beamforming. Using hardware synthesis targeting standard cells in 45 nm, we show that the proposed method allows us to boost the Sonic Millip3De frame rate from 1-2 Hz to 32 Hz while maintaining power consumption at 15 W. We validate image quality of our method using cyst phantom simulations in Field II. Our evaluation demonstrates that the proposed separable beamforming method can produce 3-D images with high quality that are comparable to those generated by non-separable beamforming.

[1]  J. Arendt Paper presented at the 10th Nordic-Baltic Conference on Biomedical Imaging: Field: A Program for Simulating Ultrasound Systems , 1996 .

[2]  P Hall,et al.  Ultrasound antenatal diagnosis of cleft palate by a new technique: the 3D ‘reverse face’ view , 2005, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[3]  J. March Introduction to the Calculus of Variations , 1999 .

[4]  Stergios Stergiopoulos,et al.  Computing architecture for the portable four-dimensional ultrasound diagnostic imaging system , 2012, 2012 IEEE International Ultrasonics Symposium.

[5]  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.

[6]  An-Yeu Wu,et al.  Accelerating motion-compensated adaptive color Doppler engine on CUDA-based GPU platform , 2013, SiPS 2013 Proceedings.

[7]  Christoforos E. Kozyrakis,et al.  Towards energy-proportional datacenter memory with mobile DRAM , 2012, 2012 39th Annual International Symposium on Computer Architecture (ISCA).

[8]  Guy Cloutier,et al.  Real-time processing in dynamic ultrasound elastography: A GPU-based implementation using CUDA , 2012, 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA).

[9]  A.B. Abche,et al.  An FPGA Implementation of a High Resolution Phase Shift Beamformer , 2007, 2007 IEEE International Conference on Signal Processing and Communications.

[10]  Butrus T. Khuri-Yakub,et al.  Minimally Redundant 2-D Array Designs for 3-D Medical Ultrasound Imaging , 2009, IEEE Transactions on Medical Imaging.

[11]  Ming Yang,et al.  Sonic Millip3De with dynamic receive focusing and apodization optimization , 2013, 2013 IEEE International Ultrasonics Symposium (IUS).

[12]  S. Stergiopoulos,et al.  A generic beamforming structure allowing implementation of adaptive processing schemes for 2-D and 3-D arrays of sensors , 1997, Oceans '97. MTS/IEEE Conference Proceedings.

[13]  P. Pellegretti,et al.  An efficient 3D beamformer implementation for real-time 4D ultrasound systems deploying planar array probes , 2004, IEEE Ultrasonics Symposium, 2004.

[14]  Ming Yang,et al.  Sonic Millip3De: A massively parallel 3D-stacked accelerator for 3D ultrasound , 2013, 2013 IEEE 19th International Symposium on High Performance Computer Architecture (HPCA).

[15]  M. O’Donnell,et al.  Adaptive multi-element synthetic aperture imaging with motion and phase aberration correction , 1998, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[16]  Karthikeyan Sankaralingam,et al.  Dark Silicon and the End of Multicore Scaling , 2012, IEEE Micro.

[17]  Lei Jiang,et al.  Die Stacking (3D) Microarchitecture , 2006, 2006 39th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO'06).

[18]  Stergios Stergiopoulos,et al.  Advanced Signal Processing Handbook: Theory and Implementation for Radar, Sonar, and Medical Imaging Real-Time Systems , 2000 .

[19]  John A. Hossack,et al.  Application of X-Y separable 2-D array beamforming for increased frame rate and energy efficiency in handheld devices , 2012, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[20]  G.R. Lockwood,et al.  Real-time 3-D ultrasound imaging using sparse synthetic aperture beamforming , 1998, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[21]  G.R. Lockwood,et al.  Theoretical assessment of a synthetic aperture beamformer for real-time 3-D imaging , 1999, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[22]  Piero Tortoli,et al.  Optimized 2D array design for Ultrasound imaging , 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

[23]  S. I. Nikolov,et al.  SARUS: A synthetic aperture real-time ultrasound system , 2013, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

[24]  K. Boone,et al.  Effect of skin impedance on image quality and variability in electrical impedance tomography: a model study , 1996, Medical and Biological Engineering and Computing.

[25]  W. Clem Karl,et al.  Sparsity-Driven Sparse-Aperture Ultrasound Imaging , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[26]  Ming Yang,et al.  Separable beamforming for 3-D synthetic aperture ultrasound imaging , 2013, SiPS 2013 Proceedings.

[27]  B. Savord,et al.  Fully sampled matrix transducer for real time 3D ultrasonic imaging , 2003, IEEE Symposium on Ultrasonics, 2003.

[28]  S. Yagel,et al.  3D and 4D ultrasound in fetal cardiac scanning: a new look at the fetal heart , 2007, Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology.

[29]  An-Yeu Wu,et al.  Reconfigurable Color Doppler DSP Engine for High-Frequency Ultrasonic Imaging Systems , 2007, 2007 IEEE Workshop on Signal Processing Systems.

[30]  B. Khuri-Yakub,et al.  Capacitive micromachined ultrasonic transducers: next-generation arrays for acoustic imaging? , 2002, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[31]  Jan Craninckx,et al.  A 1.7 mW 11b 250 MS/s 2-Times Interleaved Fully Dynamic Pipelined SAR ADC in 40 nm Digital CMOS , 2012, IEEE Journal of Solid-State Circuits.

[32]  Rayette Fisher,et al.  Hybrid beamforming and steering with reconfigurable arrays , 2010, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.