Morphological component analysis for sparse regularization in plane wave imaging

Classical ultrasound image reconstruction mainly relies on the well-known delay-and-sum (DAS) beamforming for its simplicity and real-time capability. Sparse regularization methods propose an alternative to DAS which lead to a better inversion of the ill-posed problem resulting from the acoustic wave propagation. In the following work, a new sparse regularization method is proposed which includes a component-based modelling of the radio-frequency images as well as a pointspread- function-adaptive sparsity prior. The proposed method, evaluated on the PICMUS dataset,outperforms the classical DAS in terms of contrast and resolution.


Published in:
2016 Ieee International Ultrasonics Symposium (Ius)
Presented at:
IEEE International Ultrasonics Symposium, Tours, France, September 18-21, 2016
Year:
2016
Publisher:
New York, Ieee
ISSN:
1948-5719
ISBN:
978-1-4673-9897-8
Keywords:
Laboratories:




 Record created 2016-09-12, last modified 2018-09-26

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