Patents by Inventor Nick FLASCHNER

Nick FLASCHNER 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 PARAMETER DETERMINATION FOR THE RECONSTRUCTION OF SYNTHESIZED MAGNETIC RESONANCE IMAGES
    Publication number: 20260056273
    Abstract: Disclosed herein is a medical system (100, 300) comprising a memory (110) storing machine executable instructions (120) and an anatomical detection module (122), and a computational system (104). The execution of the machine executable instructions causes the computational system to: receive (200) a set of magnetic resonance images (124) descriptive of a field of view (109) of a subject (318) acquired according to a synthetic magnetic resonance imaging protocol; receive (202) an anomaly indicator (126) from the anomaly detection module in response to inputting at least one of the set of magnetic resonance images into the anomaly detection module; determine (204) a set of reconstruction parameters (128) using the anomaly indicator; and reconstruct (206) a synthesized magnetic resonance image (134) from the set of magnetic resonance images and the set of reconstruction parameters.
    Type: Application
    Filed: July 28, 2023
    Publication date: February 26, 2026
    Inventors: Fabian Wenzel, Nick Flaschner, Arne Ewald, John Cornelius Petrus Van der Ven
  • fMRI task settings with machine learning
    Patent number: 12190562
    Abstract: The present disclosure relates to a medical imaging method, comprising: receiving (201) a set of subject parameters descriptive of a subject; in response to inputting (203) the set of subject parameters into a trained deep neural network, DNN, receiving (205) from the trained DNN a predicted task; presenting the task to the subject; controlling (207) an MRI system (700) for acquiring fMRI data from the subject in response to the predicted task performed by the subject during the acquisition.
    Type: Grant
    Filed: June 24, 2020
    Date of Patent: January 7, 2025
    Assignee: Koninklijke Philips N.V.
    Inventors: Arne Ewald, Rudolf Mathias Johannes Nicolaas Lamerichs, Nick Flaschner, Bernhard Gleich, Peter Boernert, Ingmar Graesslin, Johannes Adrianus Overweg
  • FMRI TASK SETTINGS WITH MACHINE LEARNING
    Publication number: 20220237787
    Abstract: The present disclosure relates to a medical imaging method, comprising: receiving (201) a set of subject parameters descriptive of a subject; in response to inputting (203) the set of subject parameters into a trained deep neural network, DNN, receiving (205) from the trained DNN a predicted task; presenting the task to the subject; controlling (207) an MRI system (700) for acquiring fMRI data from the subject in response to the predicted task performed by the subject during the acquisition
    Type: Application
    Filed: June 24, 2020
    Publication date: July 28, 2022
    Inventors: Arne EWALD, Rudolf Mathias Johannes Nicolaas LAMERICHS, Nick FLASCHNER, Bernhard GLEICH, Peter BOERNERT, Ingmar GRAESSLIN, Johannes Adrianus OVERWEG