Patents by Inventor Dingtian Zhang

Dingtian Zhang 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: 20250138124
    Abstract: Systems and methods for removing electromagnetic interference (EMI) from magnetic resonance (MR) images are disclosed. The techniques described herein include receiving first signal data for an MR scan captured using a first coil of an MR system and second signal data captured using a second coil of the MR system. The techniques include generating a filter based at least on the first signal data and the second signal data. The techniques include generating filtered signal data using the filter, the first signal data, and the second signal data.
    Type: Application
    Filed: October 31, 2023
    Publication date: May 1, 2025
    Applicant: Hyperfine, Inc.
    Inventors: Dingtian Zhang, Hadrien A. Dyvorne, Deepansh Srivastava, Tianrui Luo, Laura Sacolick, Ian Vaughan Lyndon Clarkson, Troy Anthony Kilpatrick
  • Publication number: 20250110196
    Abstract: Systems and methods for suppressing electromagnetic interference (EMI) in magnetic resonance (MR) data are provided. The systems and methods include identifying a first subset of the MR data that is affected by EMI and suppressing EMI in the first subset to obtain a second subset of the MR data. Suppressing EMI in the first subset is performed by: applying a filter to the first subset of the MR data in order to suppress contribution of MR spin echo signals in the first subset of the MR data thereby obtaining signal-suppressed MR data; suppressing EMI in the signal-suppressed MR data to obtain EMI-suppressed MR data; and applying an inverse of the filter to the EMI-suppressed MR data to obtain the second subset of the MR data. The systems and methods include generating an MR image using the second subset of the MR data and outputting the generated MR image.
    Type: Application
    Filed: December 12, 2024
    Publication date: April 3, 2025
    Applicant: Hyperfine Operations, Inc.
    Inventors: Deepansh Srivastava, Dingtian Zhang
  • Patent number: 11962296
    Abstract: Disclosed herein is a flexible sensing interface, comprising: a sensor, comprising: a core; an inner electrode in the form of a conductive material in contact with the core; an inner dielectric material substantially encasing the inner electrode; an outer electrode in the form of a conductive material in contact with the inner dielectric material and in electrical communication with the inner electrode; and an outer dielectric material substantially encasing the outer electrode; wherein the inner dielectric material and the outer dielectric material comprise an elastic material. Also disclosed herein are systems and methods for making and using the same.
    Type: Grant
    Filed: August 21, 2019
    Date of Patent: April 16, 2024
    Assignee: Georgia Tech Research Corporation
    Inventors: Seyedeh Fereshteh Shahmiri, Chaoyu Chen, Gregory D. Abowd, Shivan Mittal, Thad Eugene Starner, Yi-Cheng Wang, Zhong Lin Wang, Dingtian Zhang, Steven L. Zhang, Anandghan Waghmare
  • Publication number: 20210320657
    Abstract: Disclosed herein is a flexible sensing interface, comprising: a sensor, comprising: a core; an inner electrode in the form of a conductive material in contact with the core; an inner dielectric material substantially encasing the inner electrode; an outer electrode in the form of a conductive material in contact with the inner dielectric material and in electrical communication with the inner electrode; and an outer dielectric material substantially encasing the outer electrode; wherein the inner dielectric material and the outer dielectric material comprise an elastic material. Also disclosed herein are systems and methods for making and using the same.
    Type: Application
    Filed: August 21, 2019
    Publication date: October 14, 2021
    Inventors: Seyedeh Fereshteh Shahmiri, Chaoyu Chen, Gregory D. Abowd, Shivan Mittal, Thad Eugene Starner, Yi-Cheng Wang, Zhong Lin Wang, Dingtian Zhang, Steven L. Zhang, Anandghan Waghmare