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Journal Publication

Ultrasound Imaging From Sparse RF Samples Using System Point Spread Functions

This publication appears in: IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control

Authors: C. Schretter, S. Bundervoet, D. Blinder, A. Dooms, J. D'Hooge and P. Schelkens

Volume: 65

Issue: 3

Pages: 316-326

Publication Date: Mar. 2018


Abstract:

Upcoming phased array 2D sensors will soon enable fast high-definition 3D ultrasound imaging. Currently, the com- munication of raw radiofrequency (RF) channel data from the probe to the computer for digital beamforming is a bottleneck. For reducing the amount of transferred data samples, this work investigates the design of an adapted sparse sampling technique for image reconstruction inspired by the compressed sensing framework. Echo responses from isolated points are generated using a physically-based simulation of ultrasound wave propagation through tissues. These point spread functions (PSF) form a dictionary of shift-variant bent waves which depend on the specific sound excitation and acquisition protocols. Speckled ultrasound images can be approximatively decomposed in this dictionary where sparsity is enforced at the system matrix design. The Moore-Penrose pseudo-inverse is precomputed and used at the reconstruction stage for fast minimum-norm recovery from non-uniform pseudo-random sampled raw RF data. Results on simulated and acquired phantoms demonstrate the benefits of optimized basis function design for high-quality B-mode image recovery from few RF channel data samples.

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Current ETRO Authors

Dr. Colas Schretter

+32 (0)02 629 167

cschrett@etrovub.be

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Mr. Shaun Bundervoet

+32 (0)02 629 169

sbunderv@etrovub.be

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Mr. David Blinder

+32 (0)02 629 169

dblinder@etrovub.be

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Prof. Dr. Ir. Peter Schelkens

+32 (0)02 629 168

pschelke@etrovub.be

more info

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