DocumentCode :
1492626
Title :
Fast computation of the acoustic field for ultrasound elements
Author :
Güven, H. Emre ; Miller, Eric L. ; Cleveland, Robin O.
Author_Institution :
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
Volume :
56
Issue :
9
fYear :
2009
fDate :
9/1/2009 12:00:00 AM
Firstpage :
1903
Lastpage :
1912
Abstract :
A fast method for computing the acoustic field of ultrasound transducers is presented with application to rectangular elements that are cylindrically focused. No closed-form solutions exist for this case but several numerical techniques have been described in the ultrasound imaging literature. Our motivation is the rapid calculation of imaging kernels for physics-based diagnostic imaging for which current methods are too computationally intensive. Here, the surface integral defining the acoustic field from a baffled piston is converted to a 3-D spatial convolution of the element surface and the Green´s function. A 3-D version of the overlap-save method from digital signal processing is employed to obtain a fast computational algorithm based on spatial Fourier transforms. Further efficiency is gained by using a separable approximation to the Green´s function through singular value decomposition and increasing the effective sampling rate by polyphase filtering. The tradeoff between accuracy and spatial sampling rate is explored to determine appropriate parameters for a specific transducer. Comparisons with standard tools such as Field II are presented, where nearly 2 orders of magnitude improvement in computation speed is observed for similar accuracy.
Keywords :
Fourier transforms; Green´s function methods; acoustic convolution; acoustic field; ultrasonic imaging; ultrasonic transducers; 3D spatial convolution; Field II tool; Green´s function; acoustic field; baffled piston; diagnostic imaging; digital signal processing; imaging kernels; overlap-save method; polyphase filtering; spatial Fourier transform; ultrasound imaging; ultrasound transducers; Acoustic applications; Acoustic imaging; Acoustic transducers; Closed-form solution; Focusing; Green´s function methods; Kernel; Signal sampling; Ultrasonic imaging; Ultrasonic transducers; Algorithms; Fourier Analysis; Signal Processing, Computer-Assisted; Transducers; Ultrasonography;
fLanguage :
English
Journal_Title :
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-3010
Type :
jour
DOI :
10.1109/TUFFC.2009.1266
Filename :
5278440
Link To Document :
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