Patents by Inventor Krishna Shrinivas

Krishna Shrinivas 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).

  • Method for improved dynamic contrast enhanced imaging using tracer-kinetic models as constraints
    Patent number: 11412948
    Abstract: Tracer kinetic models are utilized as temporal constraints for highly under-sampled reconstruction of DCE-MRI data. The method is flexible in handling any TK model, does not rely on tuning of regularization parameters, and in comparison to existing compressed sensing approaches, provides robust mapping of TK parameters at high under-sampling rates. In summary, the method greatly improves the robustness and ease-of-use while providing better quality of TK parameter maps than existing methods. In another embodiment, TK parameter maps are directly reconstructed from highly under-sampled DCE-MRI data. This method provides more accurate TK parameter values and higher under-sampling rates. It does not require tuning parameters and there are not additional intermediate steps. The proposed method greatly improves the robustness and ease-of-use while providing better quality of TK parameter maps than conventional indirect methods.
    Type: Grant
    Filed: May 15, 2017
    Date of Patent: August 16, 2022
    Assignee: University of Southern California
    Inventors: Krishna Shrinivas Nayak, Yi Guo, Robert Marc Lebel, Yinghua Zhu, Sajan Goud Lingala
  • METHODS AND ASSAYS FOR MODULATING GENE TRANSCRIPTION BY MODULATING CONDENSATES
    Publication number: 20220120736
    Abstract: Described herein are compositions and methods for modulating gene regulation by modulating condensate formation, composition, maintenance, dissolution and regulation.
    Type: Application
    Filed: March 22, 2019
    Publication date: April 21, 2022
    Inventors: Richard A. Young, Phillip A. Sharp, Arup K. Chakraborty, Alessandra Dall'Agnese, Krishna Shrinivas, Brian J. Abraham, Ann Boija, Eliot Coffey, Daniel S. Day, Yang E. Guo, Nancy M. Hannett, Tong Ihn Lee, Charles H. Li, Isaac Klein, John C. Manteiga, Benjamin R. Sabari, Jurian Schuijers, Abraham S. Weintraub, Alicia V. Zamudio, Lena K. Afeyan, Ozgur Oksuz, Jonathan E. Henninger
  • METHOD FOR IMPROVED DYNAMIC CONTRAST ENHANCED IMAGING USING TRACER-KINETIC MODELS AS CONSTRAINTS
    Publication number: 20170325709
    Abstract: Tracer kinetic models are utilized as temporal constraints for highly under-sampled reconstruction of DCE-MRI data. The method is flexible in handling any TK model, does not rely on tuning of regularization parameters, and in comparison to existing compressed sensing approaches, provides robust mapping of TK parameters at high under-sampling rates. In summary, the method greatly improves the robustness and ease-of-use while providing better quality of TK parameter maps than existing methods. In another embodiment, TK parameter maps are directly reconstructed from highly under-sampled DCE-MRI data. This method provides more accurate TK parameter values and higher under-sampling rates. It does not require tuning parameters and there are not additional intermediate steps. The proposed method greatly improves the robustness and ease-of-use while providing better quality of TK parameter maps than conventional indirect methods.
    Type: Application
    Filed: May 15, 2017
    Publication date: November 16, 2017
    Inventors: KRISHNA SHRINIVAS NAYAK, YI GUO, ROBERT MARC LEBEL, YINGHUA ZHU, SAJAN GOUD LINGALA