Patents by Inventor MARCO REISERT

MARCO REISERT 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, method and computer-accessible medium for obtaining and/or determining mesoscopic structure and orientation with fiber tracking
    Patent number: 10504222
    Abstract: Exemplary systems, methods, and computer-accessible mediums can be provided that can generate resultant data regarding fiber tract(s) and anatomical structure(s). For example, first information related to imaging data of the anatomical structure(s) can be received. Second information related to a predictive model of further fiber tract(s) can be received. The resultant data can be generated based on the first information, the second information and a fiber cost procedure.
    Type: Grant
    Filed: April 7, 2014
    Date of Patent: December 10, 2019
    Assignees: New York University, ALBERT-LUDWIGS-UNIVERSITÄT FREIBURG
    Inventors: Dmitry S. Novikov, Valerij Kiselev, Marco Reisert
  • System, method and computer-accessible medium for determining brain microstructure parameters from diffusion magnetic resonance imaging signal's rotational invariants
    Patent number: 10360472
    Abstract: An exemplary system, method and computer-accessible medium for determining a plurality of tissue parameters of a tissue(s), can include, for example, receiving information related to a plurality of rotational invariants contained within a diffusion magnetic resonance (dMR) image(s) of the tissue(s), and generating the tissue parameters using a set of rotational invariants related to the plurality of tissue parameters using such information. The tissue parameters can be generated by factorizing a response of an individual fiber segment of the tissue(s) based on the set of rotational invariants. The response of the individual fiber segments can be factorized from an orientational distribution function (“ODF”). The individual fiber segments can be factorized using a scalar tensor factorization(s) of the rotational invariants. The set of rotational invariants can be of a rotation group SO(3).
    Type: Grant
    Filed: May 16, 2016
    Date of Patent: July 23, 2019
    Assignees: New York University, Albert-Ludwigs-Universität Freiburg
    Inventors: Dmitry Novikov, Ileana Jelescu, Jelle Veraart, Els Fieremans, Valerij Kiselev, Marco Reisert
  • SYSTEM, METHOD AND COMPUTER-ACCESSIBLE MEDIUM FOR DETERMINING BRAIN MICROSTRUCTURE PARAMETERS FROM DIFFUSION MAGNETIC RESONANCE IMAGING SIGNAL'S ROTATIONAL INVARIANTS
    Publication number: 20160343129
    Abstract: An exemplary system, method and computer-accessible medium for determining a plurality of tissue parameters of a tissue(s), can include, for example, receiving information related to a plurality of rotational invariants contained within a diffusion magnetic resonance (dMR) image(s) of the tissue(s), and generating the tissue parameters using a set of rotational invariants related to the plurality of tissue parameters using such information. The tissue parameters can be generated by factorizing a response of an individual fiber segment of the tissue(s) based on the set of rotational invariants. The response of the individual fiber segments can be factorized from an orientational distribution function (“ODF”). The individual fiber segments can be factorized using a scalar tensor factorization(s) of the rotational invariants. The set of rotational invariants can be of a rotation group SO(3).
    Type: Application
    Filed: May 16, 2016
    Publication date: November 24, 2016
    Inventors: Dmitry NOVIKOV, Ileana JELESCU, Jelle VERAART, Els FIEREMANS, Valerij KISELEV, Marco REISERT
  • SYSTEM, METHOD AND COMPUTER-ACCESSIBLE MEDIUM FOR OBTAINING AND/OR DETERMINING MESOSCOPIC STRUCTURE AND ORIENTATION WITH FIBER TRACKING
    Publication number: 20160042508
    Abstract: Exemplary systems, methods, and computer-accessible mediums can be provided that can generate resultant data regarding fiber tract(s) and anatomical structure(s). For example, first information related to imaging data of the anatomical structure(s) can be received. Second information related to a predictive model of further fiber tract(s) can be received. The resultant data can be generated based on the first information, the second information and a fiber cost procedure.
    Type: Application
    Filed: April 7, 2014
    Publication date: February 11, 2016
    Applicant: NEW YORK UNIVERSITY
    Inventors: DMITRY S. NOVIKOV, VALERIJ KISELEV, MARCO REISERT