Patents by Inventor Hongki Lim

Hongki Lim 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).

  • Reconstruction in magnetic resonance imaging with image representations as implicit functions in time
    Patent number: 11835613
    Abstract: For reconstruction of an image in MRI, unsupervised training (i.e., data-driven) based on a scan of a given patient is used to reconstruct model parameters, such as estimating values of a contrast model and a motion model based on fit of images generated by the models for different readouts and times. The models and the estimated values from the scan-specific unsupervised training are then used to generate the patient image for that scan. This may avoid artifacts from binning different readouts together while allowing for scan sequences using multiple readouts.
    Type: Grant
    Filed: January 11, 2022
    Date of Patent: December 5, 2023
    Assignee: Siemens Healthcare GmbH
    Inventors: Boris Mailhe, Dorin Comaniciu, Simon Arberet, Nirmal Janardhanan, Mariappan S. Nadar, Hongki Lim, Mahmoud Mostapha
  • RECONSTRUCTION IN MAGNETIC RESONANCE IMAGING WITH IMAGE REPRESENTATIONS AS IMPLICIT FUNCTIONS IN TIME
    Publication number: 20230221392
    Abstract: For reconstruction of an image in MRI, unsupervised training (i.e., data-driven) based on a scan of a given patient is used to reconstruct model parameters, such as estimating values of a contrast model and a motion model based on fit of images generated by the models for different readouts and times. The models and the estimated values from the scan-specific unsupervised training are then used to generate the patient image for that scan. This may avoid artifacts from binning different readouts together while allowing for scan sequences using multiple readouts.
    Type: Application
    Filed: January 11, 2022
    Publication date: July 13, 2023
    Inventors: Boris Mailhe, Dorin Comaniciu, Simon Arberet, Nirmal Janardhanan, Mariappan S. Nadar, Hongki Lim, Mahmoud Mostapha
  • Global Tractography based on Machine Learning
    Publication number: 20230093752
    Abstract: One or more tractograms of a global tractography of a tissue of interest are determined. At least one instance of diffusion magnetic resonance imaging data of the tissue of interest is obtained. A trained machine-learning algorithm generates the one or more tractograms based on the at least one instance of the diffusion magnetic resonance imaging data.
    Type: Application
    Filed: September 8, 2022
    Publication date: March 23, 2023
    Inventors: Mahmoud Mostapha, Boris Mailhe, Dorin Comaniciu, Nirmal Janardhanan, Simon Arberet, Hongki Lim, Mariappan S. Nadar