Sparsity-driven sparse-aperture ultrasound imaging

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Çetin, Müjdat (2006) Sparsity-driven sparse-aperture ultrasound imaging. In: IEEE International Conference on Acoustics, Speech, and Signal Processing, Toulouse, France

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We propose an image formation algorithm for ultrasound imaging based on sparsity-driven regularization functionals. We consider data collected by synthetic transducer arrays, with the primary motivating application being nondestructive evaluation. Our framework involves the use of a physical optics-based forward model of the observation process; the formulation of an optimization problem for image formation; and the solution of that problem through efficient numerical algorithms. Our sparsity-driven, model-based approach achieves the preservation of physical features while suppressing spurious artifacts. It also provides robust reconstructions in the case of sparse observation apertures. We demonstrate the effectiveness of our imaging strategy on real ultrasound data.
Item Type: Papers in Conference Proceedings
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Engineering and Natural Sciences
Depositing User: Müjdat Çetin
Date Deposited: 19 Dec 2006 02:00
Last Modified: 26 Apr 2022 08:32

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