Patents by Inventor Dimitris PERDIOS

Dimitris PERDIOS has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Image reconstruction method based on a trained non-linear mapping
    Patent number: 11846608
    Abstract: 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.
    Type: Grant
    Filed: August 29, 2019
    Date of Patent: December 19, 2023
    Assignee: ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (EPFL)
    Inventors: Dimitris Perdios, Adrien Besson, Florian Martinez, Marcel Arditi, Jean-Philippe Thiran
  • Model-based image reconstruction method
    Patent number: 11175392
    Abstract: 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.
    Type: Grant
    Filed: August 21, 2018
    Date of Patent: November 16, 2021
    Assignee: ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (EPFL)
    Inventors: Adrien Besson, Dimitris Perdios, Marcel Arditi, Jean-Philippe Thiran
  • IMAGE RECONSTRUCTION METHOD BASED ON A TRAINED NON-LINEAR MAPPING
    Publication number: 20210341436
    Abstract: 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.
    Type: Application
    Filed: August 29, 2019
    Publication date: November 4, 2021
    Applicant: ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (EPFL)
    Inventors: Dimitris PERDIOS, Adrien BESSON, Florian MARTINEZ, Marcel ARDITI, Jean-Philippe THIRAN
  • MODEL-BASED IMAGE RECONSTRUCTION METHOD
    Publication number: 20200225335
    Abstract: 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.
    Type: Application
    Filed: August 21, 2018
    Publication date: July 16, 2020
    Applicant: ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (EPFL)
    Inventors: Adrien BESSON, Dimitris PERDIOS, Marcel ARDITI, Jean-Philippe THIRAN