Patents by Inventor Sudhir Pathak

Sudhir Pathak 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: 9489731
    Abstract: Systems and methods facilitating high definition fiber tracking are disclosed. These systems and methods can utilize a directional Axonal Volume (dAV) value that can quantify the direction and volume of anisotropic water diffusion in axons to assess brain connection integrity. dAV provides a robust and anatomically interpretable measurement of connectivity strength of axon tracts. One method include receiving diffusion magnetic resonance imaging (dMRI) data, quantifying a vector axonal directional diffusion axon volume while removing extracellular isotropic water, segmenting fiber tracks from the data, voxelizing the fiber tracks into voxels, determining voxel dAV values for each voxel and directions, and determining fiber dAV values for each fiber track based on voxel dAV values. This non-invasive method can measure strength and integrity of brain tracts.
    Type: Grant
    Filed: March 15, 2012
    Date of Patent: November 8, 2016
    Assignee: Universith of Pittsburgh—Of the Commonwealth System of Higher Education
    Inventors: Walter Schneider, Sudhir Pathak
  • Publication number: 20140294270
    Abstract: Systems and methods facilitating high definition fiber tracking are disclosed. These systems and methods can utilize a directional Axonal Volume (dAV) value that can quantify the direction and volume of anisotropic water diffusion in axons to assess brain connection integrity. dAV provides a robust and anatomically interpretable measurement of connectivity strength of axon tracts. One method include receiving diffusion magnetic resonance imaging (dMRI) data, quantifying a vector axonal directional diffusion axon volume while removing extracellular isotropic water, segmenting fiber tracks from the data, voxelizing the fiber tracks into voxels, determining voxel dAV values for each voxel and directions, and determining fiber dAV values for each fiber track based on voxel dAV values. This non-invasive method can measure strength and integrity of brain tracts.
    Type: Application
    Filed: March 15, 2012
    Publication date: October 2, 2014
    Applicant: University of Pittsburgh - Of the Commonwealth System of Higher Education
    Inventors: Walter Schneider, Sudhir Pathak