Patents by Inventor Matthew C. Murphy

Matthew C. Murphy 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: 12019133
    Abstract: In accordance with some embodiments, systems, methods, and media for estimating a mechanical property based on a transformation of magnetic resonance elastography (MRE) data using a trained artificial neural network are provided. In some embodiments, a system is provided, the system comprising: a hardware processor programmed to: receive displacement data of tissue in vivo; provide the displacement data to a trained ANN that was trained using noisy input datasets as training data, and derivative datasets corresponding to the noisy input datasets to evaluate performance during training, such that the trained ANN provides an output dataset corresponding to an analytical solution to a derivative of a function represented in an unlabeled input dataset thereby transforming the unlabeled input dataset into its derivative; receive, from the trained ANN, an output dataset indicative of a derivative of the displacement data; and estimate stiffness of the tissue based on the derivative.
    Type: Grant
    Filed: January 28, 2021
    Date of Patent: June 25, 2024
    Assignee: Mayo Foundation for Medical Education and Research
    Inventors: Matthew C. Murphy, Joshua D. Trzasko, Richard L. Ehman, John Huston, III, Armando Manduca, Jonathan M. Scott
  • Publication number: 20230341492
    Abstract: In accordance with some embodiments, systems, methods, and media for estimating a mechanical property based on a transformation of magnetic resonance elastography (MRE) data using a trained artificial neural network are provided. In some embodiments, a system is provided, the system comprising: a hardware processor programmed to: receive displacement data of tissue in vivo; provide the displacement data to a trained ANN that was trained using noisy input datasets as training data, and derivative datasets corresponding to the noisy input datasets to evaluate performance during training, such that the trained ANN provides an output dataset corresponding to an analytical solution to a derivative of a function represented in an unlabeled input dataset thereby transforming the unlabeled input dataset into its derivative; receive, from the trained ANN, an output dataset indicative of a derivative of the displacement data; and estimate stiffness of the tissue based on the derivative.
    Type: Application
    Filed: January 28, 2021
    Publication date: October 26, 2023
    Inventors: Matthew C. Murphy, Joshua D. Trzasko, Richard L. Ehman, John Huston, III, Armando Manduca, Jonathan M. Scott
  • Patent number: 11543481
    Abstract: Magnetic resonance elastography (“MRE”), or other imaging-based elastography techniques, generate estimates of the mechanical properties, such as stiffness and damping ratio, of tissues in a subject. A machine learning approach, such as an artificial neural network, is implemented to perform an inversion of displacement data in order to generate the estimates of the mechanical properties.
    Type: Grant
    Filed: November 19, 2018
    Date of Patent: January 3, 2023
    Assignee: Mayo Foundation for Medical Education and Research
    Inventors: Matthew C. Murphy, Richard L. Ehman, Kevin J. Glaser, Joshua D. Trzasko, Armando Manduca, John Huston, III, Jonathan M. Scott, Arvin Forghanian-Arani
  • Publication number: 20200341098
    Abstract: Described here are systems and methods for magnetic resonance elastography (“MRE”), or other imaging-based elastography techniques, in which a machine learning approach, such as an artificial neural network, is implemented to perform an inversion of displacement data in order to generate estimates of the mechanical properties, such as stiffness and damping ratio, of tissues in a subject.
    Type: Application
    Filed: November 19, 2018
    Publication date: October 29, 2020
    Inventors: Matthew C. Murphy, Richard L. Ehman, Kevin J. Glaser, Joshua D. Trzasko, Armando Manduca, John Huston, III, Jonathan M. Scott, Arvin Forghanian-Arani
  • Patent number: 9134393
    Abstract: A system and method for generating a magnetic resonance elastography (MRE) report includes a) acquiring MRE data from a subject including positively motion encoded medical imaging data and negatively motion encoded medical imaging data and b) deriving uncorrected difference medical imaging data from the MRE data for a given slice. The method also includes c) filtering the uncorrected difference medical imaging data to create filtered medical imaging data corrected for errors associated with phase ramps occurring during gradient switching used to derive the positively motion encoded medical imaging data and negatively motion encoded medical imaging data, d) generating a corrected difference image for the given slice from the filtered medical imaging data and the uncorrected difference medical imaging data, e) repeating steps b) through d) for each slice reflected in the MRE data, and f) generating a report of elastic properties of the subject from the corrected difference image.
    Type: Grant
    Filed: October 9, 2013
    Date of Patent: September 15, 2015
    Assignee: MAYO FOUNDATION FOR MEDICAL EDUCATION AND RESEARCH
    Inventors: Joel P. Felmlee, Richard L. Ehman, Matthew C. Murphy
  • Publication number: 20140107467
    Abstract: A system and method for generating a magnetic resonance elastography (MRE) report includes a) acquiring MRE data from a subject including positively motion encoded medical imaging data and negatively motion encoded medical imaging data and b) deriving uncorrected difference medical imaging data from the MRE data for a given slice. The method also includes c) filtering the uncorrected difference medical imaging data to create filtered medical imaging data corrected for errors associated with phase ramps occurring during gradient switching used to derive the positively motion encoded medical imaging data and negatively motion encoded medical imaging data, d) generating a corrected difference image for the given slice from the filtered medical imaging data and the uncorrected difference medical imaging data, e) repeating steps b) through d) for each slice reflected in the MRE data, and f) generating a report of elastic properties of the subject from the corrected difference image.
    Type: Application
    Filed: October 9, 2013
    Publication date: April 17, 2014
    Inventors: Joel P. Felmlee, Richard L. Ehman, Matthew C. Murphy
  • Publication number: 20130131490
    Abstract: A system and method for analyzing a subject using a magnetic resonance imaging (MRI) system is provided. The technique includes positioning a subject within the MRI system and coupling a driver to the subject to impart vibrational energy to the subject. The technique further includes using the MRI system and in coordination with operation of the driver, acquiring medical imaging data from the subject's brain and deriving stiffness information of the subject's brain from the medical imaging data. A report, such as an image, can be provided indicating the stiffness information of the subject's brain relative to baseline stiffness information to indicate a status of the subject with respect to a neurodegenerative disease.
    Type: Application
    Filed: April 23, 2012
    Publication date: May 23, 2013
    Inventors: John Huston, III, Clifford R. Jack, JR., Kevin J. Glaser, Armando Manduca, Joel P. Felmlee, Richard L. Ehman, Matthew C. Murphy