Patents by Inventor Xiaoying Cai

Xiaoying Cai 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: 20240218625
    Abstract: The present disclosure relates to a rotating construction platform based on a monopile, including a rotary connecting mechanism set on the top of the monopile and a working platform set on the rotary connecting mechanism. The rotary connecting mechanism includes an upper connecting tube, a lower connecting tube and a rotary support structure located between the upper connecting tube and the lower connecting tube. The working platform is fixedly connected to the upper connecting tube, and the lower connecting tube is detachably fixed to the top of the monopile. At least one side of the working platform sticks out of the side of the monopile. The rotating construction platform of the present disclosure can improve the continuity of construction operations, save construction time and costs, avoid vessel machinery from hitting monopile, improve construction positioning accuracy and ensure construction quality.
    Type: Application
    Filed: August 20, 2021
    Publication date: July 4, 2024
    Applicants: Shanghai Investigation, Design & Research Institute Co., Ltd., HuaNeng Jiangsu Clean Energy Branch
    Inventors: Zeyang LYU, Dongzhen WANG, Juan JIANG, Zhenghua YANG, Xiaolu CHEN, Zhaofeng HANG, Chunyu GUAN, Lihua YANG, Zhongyuan YAO, Yang HUA, Xiaoying CAI, Mingjiang LIU, Yu ZHANG, Qihui YAN
  • Publication number: 20230408616
    Abstract: A system for dark-blood single-voxel magnetic resonance (MR) spectroscopy includes application of double inversion recovery preparation pulses to the subject during a first R-R interval from a first R peak to a second R peak, application of a plurality of localization pulses to a portion of the subject during a second R-R interval from the second R peak to a third R peak, wherein application of the plurality of localization pulses is triggered by elapsing of a first delay time from the second R peak, the first delay time determined to substantially null a blood signal emitted from the portion of the subject, acquisition of MR data from the portion of the subject, and determination of a quantity of one or more metabolites in the region of interest based on the acquired MR data.
    Type: Application
    Filed: October 26, 2022
    Publication date: December 21, 2023
    Inventor: Xiaoying Cai
  • Patent number: 11782114
    Abstract: A method for reducing artifact generation echo in stimulated-echo-based strain imaging using magnetic resonance imaging (MRI) includes determining an inhomogeneity direction, determining an encoding direction, adjusting the encoding direction to correspond with the inhomogeneity direction, and capturing, via an MRI system, a magnetic resonance image of the anatomical object at an imaging location when the encoding direction corresponds with the inhomogeneity direction. The inhomogeneity direction is the direction of a local inhomogeneity of a magnetic field at the imaging location of an anatomical object. The encoding direction is the direction of an encoding gradient of a magnetic field of the MRI system.
    Type: Grant
    Filed: July 7, 2022
    Date of Patent: October 10, 2023
    Assignee: Siemens Healthcare GmbH
    Inventor: Xiaoying Cai
  • Patent number: 11320506
    Abstract: A computerized method of reconstructing acquired magnetic resonance image (MRI) data to produce a series of output images includes acquiring a multiband k-space data set from a plurality of multiband slices of spiral MRI data; simultaneously acquiring a single band k-space data set comprising respective single band spiral image slices that are each associated with a respective one of the multiband slices in the multiband k-space data set; using the single band k-space data set, for each individual multiband slice, calculating a respective calibration kernel to apply to the multi-band k-space data set for each individual multiband slice; separating each individual multiband slice from the multiband k space data set by phase demodulating the multi-band k-space data using multiband phase demodulation operators corresponding to the individual multiband slice and convolving phase demodulated multi-band k-space data with a selected convolution operator to form a gridded set of the multi-band k-space data correspond
    Type: Grant
    Filed: April 8, 2020
    Date of Patent: May 3, 2022
    Assignee: University of Virginia Patent Foundation
    Inventors: Changyu Sun, Frederick H. Epstein, Yang Yang, Xiaoying Cai, Michael Salerno, Craig H. Meyer, Daniel Stuart Weller
  • Patent number: 11294015
    Abstract: Suppressing artifacts in MRI image acquisition data includes alternatives to phase cycling by using a Convolutional Neural Network to suppress the artifact-generating echos. A U-NET CNN is trained using phase-cycled artifact-free images for ground truth comparison with received displacement encoded stimulated echo (DENSE) images. The DENSE images include data from a single acquisition with both stimulated (STE) and T1-relaxation echoes. The systems and methods of this disclosure are explained as generating artifact-free images in the ultimate output and avoiding the additional data acquisition needed for phase cycling and shortens the scan time in DENSE MRI.
    Type: Grant
    Filed: February 5, 2020
    Date of Patent: April 5, 2022
    Assignee: University of Virginia Patent Foundation
    Inventors: Mohammad Abdishektaei, Xue Feng, Xiaoying Cai, Craig H. Meyer, Frederick H. Epstein
  • Patent number: 11269036
    Abstract: In one aspect the disclosed technology relates to embodiments of a method (e.g., for automatic cine DENSE strain analysis) which includes acquiring magnetic resonance data associated with a physiological activity in an area of interest of a subject where the acquired magnetic resonance data includes one or more phase-encoded data sets. The method also includes determining, from at least the one or more phase-encoded data sets, a data set corresponding to the physiological activity in the area of interest where the reconstruction comprises performing phase unwrapping of the phase-encoded data set using region growing along multiple pathways based on phase predictions.
    Type: Grant
    Filed: March 29, 2019
    Date of Patent: March 8, 2022
    Assignee: University of Virginia Patent Foundation
    Inventors: Frederick H. Epstein, Daniel A. Auger, Changyu Sun, Xiaoying Cai
  • Publication number: 20200363485
    Abstract: A computerized method of reconstructing acquired magnetic resonance image (MRI) data to produce a series of output images includes acquiring a multiband k-space data set from a plurality of multiband slices of spiral MRI data; simultaneously acquiring a single band k-space data set comprising respective single band spiral image slices that are each associated with a respective one of the multiband slices in the multiband k-space data set; using the single band k-space data set, for each individual multiband slice, calculating a respective calibration kernel to apply to the multi-band k-space data set for each individual multiband slice; separating each individual multiband slice from the multiband k space data set by phase demodulating the multi-band k-space data using multiband phase demodulation operators corresponding to the individual multiband slice and convolving phase demodulated multi-band k-space data with a selected convolution operator to form a gridded set of the multi-band k-space data correspond
    Type: Application
    Filed: April 8, 2020
    Publication date: November 19, 2020
    Inventors: Changyu Sun, Frederick H. Epstein, Yang Yang, Xiaoying Cai, Michael Salerno, Craig H. Meyer, Daniel Stuart Weller
  • Patent number: 10830855
    Abstract: In some aspects, the disclosed technology relates to free-breathing cine DENSE (displacement encoding with stimulated echoes) imaging. In some embodiments, self-gated free-breathing adaptive acquisition reduces free-breathing artifacts by minimizing the residual energy of the phase-cycled T1-relaxation signal, and the acquisition of the k-space data is adaptively repeated with the highest residual T1-echo energy. In some embodiments, phase-cycled spiral interleaves are identified at matched respiratory phases by minimizing the residual signal due to T1 relaxation after phase-cycling subtraction; image-based navigators (iNAVs) are reconstructed from matched phase-cycled interleaves that are comprised of the stimulated echo iNAVs (ste-iNAVs), wherein the ste-iNAVs are used for motion estimation and compensation of k-space data.
    Type: Grant
    Filed: March 28, 2019
    Date of Patent: November 10, 2020
    Assignee: University of Virginia Patent Foundation
    Inventors: Xiaoying Cai, Frederick H. Epstein
  • Publication number: 20200249306
    Abstract: Suppressing artifacts in MRI image acquisition data includes alternatives to phase cycling by using a Convolutional Neural Network to suppress the artifact-generating echos. A U-NET CNN is trained using phase-cycled artifact-free images for ground truth comparison with received displacement encoded stimulated echo (DENSE) images. The DENSE images include data from a single acquisition with both stimulated (STE) and T1-relaxation echoes. The systems and methods of this disclosure are explained as generating artifact-free images in the ultimate output and avoiding the additional data acquisition needed for phase cycling and shortens the scan time in DENSE MRI.
    Type: Application
    Filed: February 5, 2020
    Publication date: August 6, 2020
    Inventors: Mohammad Abdishektaei, Xue Feng, Xiaoying Cai, Craig H. Meyer, Frederick H. Epstein
  • Publication number: 20190302210
    Abstract: In one aspect the disclosed technology relates to embodiments of a method (e.g., for automatic cine DENSE strain analysis) which includes acquiring magnetic resonance data associated with a physiological activity in an area of interest of a subject where the acquired magnetic resonance data includes one or more phase-encoded data sets. The method also includes determining, from at least the one or more phase-encoded data sets, a data set corresponding to the physiological activity in the area of interest where the reconstruction comprises performing phase unwrapping of the phase-encoded data set using region growing along multiple pathways based on phase predictions.
    Type: Application
    Filed: March 29, 2019
    Publication date: October 3, 2019
    Inventors: Frederick H. Epstein, Daniel A. Auger, Changyu Sun, Xiaoying Cai
  • Publication number: 20190302211
    Abstract: In some aspects, the disclosed technology relates to free-breathing cine DENSE (displacement encoding with stimulated echoes) imaging. In some embodiments, self-gated free-breathing adaptive acquisition reduces free-breathing artifacts by minimizing the residual energy of the phase-cycled T1-relaxation signal, and the acquisition of the k-space data is adaptively repeated with the highest residual T1-echo energy. In some embodiments, phase-cycled spiral interleaves are identified at matched respiratory phases by minimizing the residual signal due to T1 relaxation after phase-cycling subtraction; image-based navigators (iNAVs) are reconstructed from matched phase-cycled interleaves that are comprised of the stimulated echo iNAVs (ste-iNAVs), wherein the ste-iNAVs are used for motion estimation and compensation of k-space data.
    Type: Application
    Filed: March 28, 2019
    Publication date: October 3, 2019
    Inventors: Xiaoying Cai, Frederick H. Epstein
  • Patent number: 10310047
    Abstract: Some aspects of the present disclosure relate to systems and methods for free-breathing cine DENSE MRI using self-navigation. In one embodiment, a method includes acquiring magnetic resonance data for an area of interest of a subject, wherein the acquiring comprises performing sampling with phase-cycled, cine displacement encoding with stimulated echoes (DENSE) during free-breathing of the subject; identifying, from the acquired magnetic resonance data, a plurality of phase-cycling data pairs corresponding to matched respiratory phases of the free-breathing of the subject; reconstructing, from the plurality of phase-cycling data pairs, a plurality of intermediate self-navigation images; performing motion correction by estimating, from the plurality of intermediate self-navigation images, the respiratory position associated with the plurality of phase-cycling data pairs; and reconstructing a plurality of motion-corrected cine DENSE images of the area of interest of the subject.
    Type: Grant
    Filed: April 21, 2017
    Date of Patent: June 4, 2019
    Assignee: University of Virginia Patent Foundation
    Inventors: Xiaoying Cai, Frederick H. Epstein, Xiaodong Zhong
  • Publication number: 20170307712
    Abstract: Some aspects of the present disclosure relate to systems and methods for free-breathing cine DENSE MRI using self-navigation. In one embodiment, a method includes acquiring magnetic resonance data for an area of interest of a subject, wherein the acquiring comprises performing sampling with phase-cycled, cine displacement encoding with stimulated echoes (DENSE) during free-breathing of the subject; identifying, from the acquired magnetic resonance data, a plurality of phase-cycling data pairs corresponding to matched respiratory phases of the free-breathing of the subject; reconstructing, from the plurality of phase-cycling data pairs, a plurality of intermediate self-navigation images; performing motion correction by estimating, from the plurality of intermediate self-navigation images, the respiratory position associated with the plurality of phase-cycling data pairs; and reconstructing a plurality of motion-corrected cine DENSE images of the area of interest of the subject.
    Type: Application
    Filed: April 21, 2017
    Publication date: October 26, 2017
    Inventors: Xiaoying Cai, Frederick H. Epstein, Xiaodong Zhong