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4 April 2022 Tomographic ultrasound modelling and imaging with Stride and Devito
Carlos Cueto, Lluis Guasch, Fabio Luporini, Oscar Bates, George Strong, Oscar Calderon Agudo, Javier Cudeiro, Paul Kelly, Gerard Gorman, Meng-Xing Tang
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Proceedings Volume PC12038, Medical Imaging 2022: Ultrasonic Imaging and Tomography; PC1203805 (2022) https://doi.org/10.1117/12.2611072
Event: SPIE Medical Imaging, 2022, San Diego, California, United States
Abstract
Ultrasound computed tomography techniques like full-waveform inversion are mathematically and computationally challenging, while existing codes are closed source, difficult to maintain, and slow to adapt to new research. Consequently, we present Stride, an open-source Python library for the solution of large-scale ultrasound tomography problems. Stride combines high-level, intuitive interfaces with high-performance wave-equation solvers based on Devito, a framework for automatic finite-difference code generation. We show how Stride can achieve state-of-the-art modelling accuracy and can switch seamlessly between 2D and 3D, while easily scaling from a workstation to a high-performance cluster.
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Carlos Cueto, Lluis Guasch, Fabio Luporini, Oscar Bates, George Strong, Oscar Calderon Agudo, Javier Cudeiro, Paul Kelly, Gerard Gorman, and Meng-Xing Tang "Tomographic ultrasound modelling and imaging with Stride and Devito", Proc. SPIE PC12038, Medical Imaging 2022: Ultrasonic Imaging and Tomography, PC1203805 (4 April 2022); https://doi.org/10.1117/12.2611072
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KEYWORDS
Modeling
Tomography
Ultrasonography
Ultrasound tomography
3D modeling
Computed tomography
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