A restoration framework for ultrasonic tissue characterization

Abstract : Ultrasonic tissue characterization has become an area of intensive research. This procedure generally relies on the analysis of the unprocessed echo signal. Because the ultrasound echo is degraded by the non-ideal system point spread function, a deconvolution step could be employed to provide an estimate of the tissue response that could then be exploited for a more accurate characterization. In medical ultrasound, deconvolution is commonly used to increase diagnostic reliability of ultrasound images by improving their contrast and resolution. Most successful algorithms address deconvolution in a maximum a posteriori estimation framework; this typically leads to the solution of l(2)-norm or (1)-norm constrained optimization problems, depending on the choice of the prior distribution. Although these techniques are sufficient to obtain relevant image visual quality improvements, the obtained reflectivity estimates are, however, not appropriate for classification purposes. In this context, we introduce in this paper a maximum a posteriori deconvolution framework expressly derived to improve tissue characterization. The algorithm overcomes limitations associated with standard techniques by using a nonstandard prior model for the tissue response. We present an evaluation of the algorithm performance using both computer simulations and tissue-mimicking phantoms. These studies reveal increased accuracy in the characterization of media with different properties. A comparison with state-of-the-art Wiener and l(1)-norm deconvolution techniques attests to the superiority of the proposed algorithm.
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Article dans une revue
IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Institute of Electrical and Electronics Engineers, 2011, 58 (11), pp.2344-2360
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https://hal.archives-ouvertes.fr/hal-00688924
Contributeur : Emilie Franceschini <>
Soumis le : mercredi 18 avril 2012 - 19:55:07
Dernière modification le : jeudi 10 mars 2016 - 01:08:20

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  • HAL Id : hal-00688924, version 1

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Martino Alessandrini, Simona Maggio, Jonathan Porée, Luca De Marchi, Nicolo Speciale, et al.. A restoration framework for ultrasonic tissue characterization. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, Institute of Electrical and Electronics Engineers, 2011, 58 (11), pp.2344-2360. 〈hal-00688924〉

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