Patents by Inventor Niranjan Balu

Niranjan Balu 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).

  • Dual contrast vessel wall MRI using phase sensitive polarity maps
    Patent number: 9557396
    Abstract: Methods and systems for using magnetic resonance (MR) imaging include obtaining a T1-weighted MR image and a proton-density (PD) weighted MR image from a dual-image acquisition following an inversion-recovery (IR) pulse. The T1-weighted and PD-weighted images are used to obtain a polarity function describing a positive or negative polarity at individual voxels, which is used to reconstruct a polarity-enhanced PD-weighted image from the PD-weighted image. The polarity-enhanced PD-weighted image can be used for assessing at least plaque burden and juxtaluminal calcification (JCA).
    Type: Grant
    Filed: April 1, 2015
    Date of Patent: January 31, 2017
    Assignees: University of Washington, Koninklijke Philips N.V.
    Inventors: Niranjan Balu, Jinnan Wang, Chun Yuan
  • DUAL CONTRAST VESSEL WALL MRI USING PHASE SENSITIVE POLARITY MAPS
    Publication number: 20160291110
    Abstract: Methods and systems for using magnetic resonance (MR) imaging include obtaining a T1-weighted MR image and a proton-density (PD) weighted MR image from a dual-image acquisition following an inversion-recovery (IR) pulse. The T1-weighted and PD-weighted images are used to obtain a polarity function describing a positive or negative polarity at individual voxels, which is used to reconstruct a polarity-enhanced PD-weighted image from the PD-weighted image. The polarity-enhanced PD-weighted image can be used for assessing at least plaque burden and juxtaluminal calcification (JCA).
    Type: Application
    Filed: April 1, 2015
    Publication date: October 6, 2016
    Applicant: University of Washington
    Inventors: Niranjan Balu, Jinnan Wang, Chun Yuan