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Journal Articles Physics in Medicine and Biology Year : 2018

Spatiotemporal matrix image formation for programmable ultrasound scanners


As programmable ultrasound scanners become more common in research laboratories, it is increasingly important to develop robust software-based image formation algorithms that can be obtained in a straightforward fashion for different types of probes and sequences with a small risk of error during implementation. In this work, we argue that as the computational power keeps increasing, it is becoming practical to directly implement an approximation to the matrix operator linking reflector point targets to the corresponding radiofrequency signals via thoroughly validated and widely available simulations software. Once such a spatiotemporal forward-problem matrix is constructed, standard and thus highly optimized inversion procedures can be leveraged to achieve very high quality images in real time. Specifically, we show that spatiotemporal matrix image formation produces images of similar or enhanced quality when compared against standard delay-and-sum approaches in phantoms and in vivo, and show that this approach can be used to form images even when using non-conventional probe designs for which adapted image formation algorithms are not readily available.
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hal-03269444 , version 1 (06-03-2023)



Beatrice Berthon, Pierre Morichau-Beauchant, Jonathan Porée, Anikitos Garofalakis, Bertrand Tavitian, et al.. Spatiotemporal matrix image formation for programmable ultrasound scanners. Physics in Medicine and Biology, 2018, 63 (3), ⟨10.1088/1361-6560/aaa606⟩. ⟨hal-03269444⟩
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