Patents by Inventor Uri Nevo

Uri Nevo 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).

  • Publication number: 20240012078
    Abstract: A method of scanning an object in a FOV by acquiring an MRI signal from the object at different projections of a spatially encoding magnetic field, using a plurality of receiving antennas, and reconstructing an MRI image of the object, comprising: a) at each projection, acquiring the MRI signal from the receiving antennas; b) filtering the received signal, for at least some of the projections, by applying different time windows to different components of the signal in different frequency bands, and/or received by different receiver antennas, resulting in a filtered received signal vector whose components describe the filtered received signal as a function of time, at each projection, for one or more receiver antennas; and c) reconstructing an image as a vector whose components describe a weighted or unweighted net magnetization at each voxel in the FOV, that would be expected to produce the filtered received signal vector.
    Type: Application
    Filed: August 17, 2021
    Publication date: January 11, 2024
    Applicant: Ramot at Tel-Aviv University Ltd.
    Inventors: Uri NEVO, David CORCOS
  • Patent number: 10478117
    Abstract: A method for early detection of bone deficiency in a patient, comprising: collecting NMR signals of a bone marrow volume in a bone of the patient having normal bone density levels which are not indicative of bone deficiency as indicated by X-ray; and analyzing said collected NMR signals to detect at least a presence or absence of a preclinical stage of bone deficiency in said bone.
    Type: Grant
    Filed: April 7, 2016
    Date of Patent: November 19, 2019
    Assignee: Ramot at Tel-Aviv University Ltd.
    Inventors: Uri Nevo, Itzhak Binderman, Yifat Sarda, Elad Bergman
  • Patent number: 10321870
    Abstract: A method of analysis is disclosed. The method comprises: receiving from a mobile device of a subject sensor data and/or device state data, analyzing the data to provide at least one behavioral pattern associated with the subject, comparing the behavioral pattern with a reference behavioral pattern, and estimating the likelihood that the subject is experiencing or is expected to experience an abnormal condition based on the comparison.
    Type: Grant
    Filed: April 30, 2015
    Date of Patent: June 18, 2019
    Assignee: Ramot at Tel-Aviv University Ltd.
    Inventors: Uri Nevo, Keren Zeevy Sela, Asaf Liberman, Dana Erlich, Adam Harel, Jonathan Marton
  • Publication number: 20180110459
    Abstract: A method for early detection of bone deficiency in a patient, comprising: collecting NMR signals of a bone marrow volume in a bone of the patient having normal bone density levels which are not indicative of bone deficiency as indicated by X-ray; and analyzing said collected NMR signals to detect at least a presence or absence of a preclinical stage of bone deficiency in said bone.
    Type: Application
    Filed: April 7, 2016
    Publication date: April 26, 2018
    Inventors: Uri NEVO, Itzhak BINDERMAN, Yifat SARDA, Elad BERGMAN
  • Publication number: 20150313529
    Abstract: A method of analysis is disclosed. The method comprises: receiving from a mobile device of a subject sensor data and/or device state data, analyzing the data to provide at least one behavioral pattern associated with the subject, comparing the behavioral pattern with a reference behavioral pattern, and estimating the likelihood that the subject is experiencing or is expected to experience an abnormal condition based on the comparison.
    Type: Application
    Filed: April 30, 2015
    Publication date: November 5, 2015
    Inventors: Uri NEVO, Keren ZEEVY SELA, Asaf LIBERMAN, Dana ERLICH, Adam HAREL, Jonathan MARTON
  • Publication number: 20140184224
    Abstract: A method of magnetic resonance analysis of a porous structure is disclosed. The method comprises: obtaining a recorded magnetic resonance signal as a function of both a magnetic resonance wavevector and a magnetic resonance angle, in response to a series of magnetic resonance experiments, each featuring a plurality of pairs of bipolar gradient pulse subsequences being characterized by a respective magnetic resonance wavevector and a respective magnetic resonance angle, where the respective magnetic resonance angle is an angle between gradient directions of the bipolar gradient pulse subsequences. The method further comprises performing an at least three-dimensional analysis of the magnetic resonance signal, so as to extract a pore size distribution from the structure; and issuing a report regarding the analysis.
    Type: Application
    Filed: August 9, 2012
    Publication date: July 3, 2014
    Applicant: RAMOT AT TEL-AVIV UNIVERSITY LTD.
    Inventors: Uri Nevo, Dan Benjamini