Patents by Inventor Reza Rahmanzadeh

Reza Rahmanzadeh 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).

  • System and method of magnetic resonance imaging method for monitoring remyelination
    Patent number: 11802927
    Abstract: Quantitative susceptibility mapping methods, systems and computer-accessible medium include generating images of tissue magnetism property from complex magnetic resonance imaging data using the Bayesian inference approach. The tissue magnetism images is then used to monitor remyelination, such as remyelination in multiple sclerosis patients in response to therapy. Multiple sclerosis lesions defined on magnetic resonance imaging are further characterized on tissue magnetism images into hyperintense, isointense and hypointense parts for measuring remyelination. Thus, magnetic susceptibility information and other tissue properties associated with at least one structure are determined.
    Type: Grant
    Filed: March 4, 2022
    Date of Patent: October 31, 2023
    Assignee: Cornell University
    Inventors: Reza Rahmanzadeh, Cristina Granziera, Yi Wang, Riccardo Galbusera
  • SYSTEM AND METHOD OF MAGNETIC RESONANCE IMAGING METHOD FOR MONITORING REMYELINATION
    Publication number: 20220283256
    Abstract: Quantitative susceptibility mapping methods, systems and computer-accessible medium include generating images of tissue magnetism property from complex magnetic resonance imaging data using the Bayesian inference approach. The tissue magnetism images is then used to monitor remyelination, such as remyelination in multiple sclerosis patients in response to therapy. Multiple sclerosis lesions defined on magnetic resonance imaging are further characterized on tissue magnetism images into hyperintense, isointense and hypointense parts for measuring remyelination. Thus, magnetic susceptibility information and other tissue properties associated with at least one structure are determined.
    Type: Application
    Filed: March 4, 2022
    Publication date: September 8, 2022
    Applicants: Cornell University, Universität Basel
    Inventors: Cristina Granziera, Reza Rahmanzadeh, Yi Wang, Riccardo Galbusera