Patents by Inventor Michael HELLE

Michael HELLE 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).

  • Patent number: 11633123
    Abstract: A magnetic resonance imaging system including a memory configured to store machine executable instructions, pulse sequence commands, and a first machine learning model including a first deep learning network. The pulse sequence commands are configured for controlling the magnetic resonance imaging system to acquire a set of magnetic resonance imaging data.
    Type: Grant
    Filed: October 26, 2018
    Date of Patent: April 25, 2023
    Assignee: Koninklijke Philips N.V.
    Inventors: Axel Saalbach, Steffen Weiss, Karsten Sommer, Christophe Schuelke, Michael Helle
  • Patent number: 11089970
    Abstract: A magnetic resonance imaging system (100) for acquiring magnetic resonance data (141) from an imaging zone (108) includes a memory (134, 136) for storing machine executable instructions (150, 152, 154, 156) and pulse sequence commands (140). The pulse sequence commands cause the magnetic resonance imaging system to provide at least one spatially selective saturation pulse (408, 410) to at least one selected volume (124, 124?) that is at least partially outside of a region of interest (123) and within the imaging zone. The magnetic resonance imaging system performs a non-selective inversion (412) of spins in the region of interest followed by a readout (414) of the magnetic resonance data which is reconstructed (202) into an image (142).
    Type: Grant
    Filed: June 3, 2016
    Date of Patent: August 17, 2021
    Assignee: Koninklijke Philips N.V.
    Inventors: Thomas Lindner, Michael Helle
  • Publication number: 20210177296
    Abstract: The invention relates to a magnetic resonance imaging system, the magnetic resonance imaging system (100) comprising: —a memory (134, 136) storing machine executable instructions (160, 162, 164), pulse sequence commands (140) and a first machine learning model (146) comprising a first deep learning network (502), wherein the pulse sequence commands (140) are configured for controlling the magnetic resonance imaging system (100) to acquire a set of magnetic resonance imaging data, wherein the first machine learning model (146) comprises a first input and a first output, —a processor, wherein an execution of the machine executable instructions (160, 162, 164) causes the processor (130) to control the magnetic resonance imaging system (100) to repeatedly perform an acquisition and analysis process comprising: —acquiring a dataset (142.1, . . . , 142.
    Type: Application
    Filed: October 26, 2018
    Publication date: June 17, 2021
    Inventors: AXEL SAALBACH, STEFFEN WEISS, KARSTEN SOMMER, CHRISTOPHE SCHUELKE, MICHAEL HELLE
  • Publication number: 20160360979
    Abstract: The invention provides for a magnetic resonance imaging system (100) for acquiring magnetic resonance data (141) from an imaging zone (108). The magnetic resonance imaging system comprises a memory (134, 136) for storing machine executable instructions (150, 152, 154, 156) and pulse sequence commands (140). The pulse sequence commands cause the magnetic resonance imaging system to provide at least one spatially selective saturation pulse (408, 410) to at least one selected volume (124, 124?). The at least one selected volume is at least partially outside of a region of interest (123). The at least one selected volume is within the imaging zone. The region of interest is within the imaging zone, wherein the pulse sequence commands further cause the magnetic resonance imaging system to perform a non-selective inversion (412) of spins in the region of interest.
    Type: Application
    Filed: June 3, 2016
    Publication date: December 15, 2016
    Inventors: Thomas LINDNER, Michael HELLE