Patents by Inventor Laurent Dercle

Laurent Dercle 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).

  • Medical imaging based on calibrated post contrast timing
    Patent number: 11896407
    Abstract: Techniques measuring post contrast phase include collecting 3D medical imagery of a subject after injection with a contrast agent. A first set of slices is obtained in which each includes a first anatomical feature selected from a portal vein, aorta, inferior vena cava, liver, spleen or renal cortex. A second set of slices is obtained in which each includes a different second anatomical feature. A first image region is obtained from the first set and a different second image region from the second set. A trained convolutional neural network is configured to input the first image region to a first plurality of convolutional hidden layers and the second image region to a second plurality of convolutional hidden layers and output from both to a fully connected hidden layer that outputs a post contrast phase. Output data is presented based on the post contrast phase.
    Type: Grant
    Filed: May 21, 2021
    Date of Patent: February 13, 2024
    Assignee: The Trustees of Columbia University in the City of New York
    Inventors: Jingchen Ma, Laurent Dercle, Binsheng Zhao, Lin Lu, Lawrence H. Schwartz
  • MEDICAL IMAGING BASED ON CALIBRATED POST CONTRAST TIMING
    Publication number: 20210279868
    Abstract: Techniques measuring post contrast phase include collecting 3D medical imagery of a subject after injection with a contrast agent. A first set of slices is obtained in which each includes a first anatomical feature selected from a portal vein, aorta, inferior vena cava, liver, spleen or renal cortex. A second set of slices is obtained in which each includes a different second anatomical feature. A first image region is obtained from the first set and a different second image region from the second set. A trained convolutional neural network is configured to input the first image region to a first plurality of convolutional hidden layers and the second image region to a second plurality of convolutional hidden layers and output from both to a fully connected hidden layer that outputs a post contrast phase. Output data is presented based on the post contrast phase.
    Type: Application
    Filed: May 21, 2021
    Publication date: September 9, 2021
    Inventors: Jingchen Ma, Laurent Dercle, Binsheng Zhao, Lin Lu, Lawrence H. Schwartz