Patents by Inventor Arvin Forghanian-Arani

Arvin Forghanian-Arani 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).

  • Continuous Three-Dimensional Imaging for Magnetic Resonance Elastography
    Publication number: 20230061571
    Abstract: Described here are systems and methods for a robust magnetic resonance elastography (“MRE”) imaging platform for rapid dynamic 3D MRE imaging. The imaging platform includes an MRE pulse sequence and advanced image reconstruction framework that work synergistically in order to greatly expand the domains where MRE can be deployed successfully.
    Type: Application
    Filed: January 15, 2021
    Publication date: March 2, 2023
    Inventors: Arvin Forghanian-Arani, Joshua D. Trzasko, Yi Sui, Philip A. Araoz, Richard L. Ehman, John Huston, III
  • Methods for estimating mechanical properties from magnetic resonance elastography data using artificial neural networks
    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
  • Methods for correcting motion-encoding gradient nonlinearities in magnetic resonance elastography
    Patent number: 11307280
    Abstract: Described here are systems and methods for correcting motion-encoding gradient nonlinearities in magnetic resonance elastography (“MRE”). In general, the systems and methods described in the present disclosure compute gradient nonlinearity corrected displacement data based on information about the motion-encoding gradients used when acquiring magnetic resonance data.
    Type: Grant
    Filed: June 3, 2019
    Date of Patent: April 19, 2022
    Assignee: Mayo Foundation for Medical Education and Research
    Inventors: Joshua D. Trzasko, Philip A. Araoz, Matthew A. Bernstein, Richard L. Ehman, Arvin Forghanian-Arani, John Huston, III, Yunhong Shu
  • Methods for Correcting Motion-Encoding Gradient Nonlinearities in Magnetic Resonance Elastography
    Publication number: 20210165065
    Abstract: Described here are systems and methods for correcting motion-encoding gradient nonlinearities in magnetic resonance elastography (“MRE”). In general, the systems and methods RF described in the present disclosure compute gradient nonlinearity corrected displacement data based on information about the motion-encoding gradients used when acquiring magnetic resonance data.
    Type: Application
    Filed: June 3, 2019
    Publication date: June 3, 2021
    Inventors: Joshua D. Trzasko, Philip A. Araoz, Matthew A. Bernstein, Richard L. Ehman, Arvin Forghanian-Arani, John Huston, III, Yunhong Shu
  • Methods for Estimating Mechanical Properties from Magnetic Resonance Elastography Data Using Artificial Neural Networks
    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
  • System and method for intracorporeal elastography
    Patent number: 8222901
    Abstract: A system and method for intracorporeal elastography include an intra-luminal vibratory member configured to be positioned within a lumen of an imaging subject and configured to impart mechanical energy into tissue of the lumen. In a preferred embodiment, an external piezoelectric energy source is included and coupled to the vibratory member and configured to cause the vibratory member to longitudinally vibrate, thereby generating shear waves for use with magnetic resonance elastography.
    Type: Grant
    Filed: August 20, 2009
    Date of Patent: July 17, 2012
    Assignee: Sunnybrook Health Sciences Centre
    Inventors: Rajiv Chopra, Michael John Bronskill, Arvin Forghanian-Arani
  • SYSTEM AND METHOD FOR INTRACORPOREAL ELASTOGRAPHY
    Publication number: 20100045289
    Abstract: A system and method for intracorporeal elastography include an intra-luminal vibratory member configured to be positioned within a lumen of an imaging subject and configured to impart mechanical energy into tissue of the lumen. In a preferred embodiment, an external piezoelectric energy source is included and coupled to the vibratory member and configured to cause the vibratory member to longitudinally vibrate, thereby generating shear waves for use with magnetic resonance elastography.
    Type: Application
    Filed: August 20, 2009
    Publication date: February 25, 2010
    Inventors: Rajiv Chopra, Michael John Bronskill, Arvin Forghanian-Arani