USSR: An UltraSound Sparse Regularization framework

Ultrafast ultrasound (US) imaging uses unfocused waves to insonify the whole medium of interest at once, allowing pulse-echo US imaging to achieve very high frame rates, at the cost of a lower image quality. In this paper, we present USSR, an UltraSound Sparse Regularization framework which permits high-quality imaging at fast rates and with a very low memory footprint. The framework, based on highly parallelizable, parametric, matrix-free formulations of the measurement model and its adjoint as well as on well-chosen sparsity priors, is implemented on multi-threaded architectures and evaluated on the publicly available PICMUS dataset.


Published in:
2017 Ieee International Ultrasonics Symposium (Ius)
Presented at:
IEEE International Ultrasonics Symposium, Washington, D.C., USA, September 6-9, 2017
Year:
2017
Publisher:
New York, Ieee
ISSN:
1948-5719
ISBN:
978-1-5386-3383-0
Keywords:
Laboratories:




 Record created 2017-07-08, last modified 2018-01-28

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