Besson, Adrien Georges JeanPerdios, DimitrisMartinez, FlorianArditi, MarcelWiaux, YvesThiran, Jean-Philippe2017-07-082017-07-082017-07-08201710.1109/ULTSYM.2017.8092360https://infoscience.epfl.ch/handle/20.500.14299/138853WOS:000416948401150Ultrafast 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.ultrasoundtext::conference output::conference proceedings::conference paper