Ecole Polytechnique Federale De Lausanne

Dimitris Perdios

Jean-Philippe Thiran

Adrien Besson

Marcel Arditi

Florian Martinez

The present invention concerns an array processing image reconstruction method comprising: receiving a set of echo waveforms as measurements from the object of interest; defining a measurement model linking an unknown image of the object to the measurements; defining a data fidelity functional using the measurement model; defining a regularisation functional using a trained non-linear mapping, the regularisation functional comprising prior knowledge about the unknown image; defining an optimisation problem involving the data fidelity functional and the regularisation functional for obtaining a first image estimate of the unknown image; and solving the optimisation problem to obtain the first image estimate.

Image reconstruction method based on a trained non-linear mapping

The present invention concerns a pulse wave image reconstruction method to be used for example in ultrasound imaging. The proposed method is based on an image measurement model and its adjoint operator. The proposed method introduces matrix-free formulations of the measurement model and its adjoint operator. The proposed method has the advantage that the reconstructed image has a very high quality and that it can be reconstructed quickly.

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Lausanne, Switzerland

Dimitris Perdios