Patents by Inventor Yujie LU

Yujie LU 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: 20210130487
    Abstract: A CD20-targeted antibody coupling pharmaceutical preparation, specifically a preparation comprising a CD20-targeted antibody coupling medication represented by formula I and an excipient. The antibody coupling pharmaceutical preparation has prominent antitumor effect.
    Type: Application
    Filed: February 14, 2018
    Publication date: May 6, 2021
    Inventors: Youling WU, Yujie ZHANG, Jiali LU
  • Patent number: 10991324
    Abstract: An overdrive method and device, a controller, a display apparatus, and a storage medium is provided. The method includes: acquiring a first grayscale value and a second grayscale value, the first grayscale value being a grayscale value of a first image displayed by a target sub-pixel and the second grayscale value being a grayscale of a second image to be displayed by the target sub-pixel; acquiring a hold duration that the target sub-pixel holds the first grayscale value in response to the first grayscale value being not equal to the second grayscale value; determining a target overdrive compensation voltage according to the first grayscale value, the second grayscale value, and the hold duration; and applying an overdrive pixel voltage to the target sub-pixel in response to the target sub-pixel displaying the second image, the overdrive pixel voltage being obtained according to the target overdrive compensation voltage.
    Type: Grant
    Filed: November 15, 2019
    Date of Patent: April 27, 2021
    Assignees: BEIJING BOE DISPLAY TECHNOLOGY CO., LTD., BOE TECHNOLOGY GROUP CO., LTD.
    Inventors: Yujie Gao, Zhihua Sun, Shulin Yao, Yinlong Zhang, Wenpeng Ma, Tong Lu, Pengfei Hu, Ning Zhang
  • Patent number: 10937206
    Abstract: A method and apparatus are provided for using a neural network to estimate scatter in X-ray projection images and then correct for the X-ray scatter. For example, the neural network is a three-dimensional convolutional neural network 3D-CNN to which are applied projection images, at a given view, for respective energy bins and/or material components. The projection images can be obtained by material decomposing spectral projection data, or by segmenting a reconstructed CT image into material-component images, which are then forward projected to generate energy-resolved material-component projections. The result generated by the 3D-CNN is an estimated scatter flux. To train the 3D-CNN, the target scatter flux in the training data can be simulated using a radiative transfer equation method.
    Type: Grant
    Filed: January 18, 2019
    Date of Patent: March 2, 2021
    Assignee: Canon Medical Systems Corporation
    Inventors: Yujie Lu, Zhou Yu, Jian Zhou, Tzu-Cheng Lee, Richard Thompson
  • Patent number: 10925568
    Abstract: A method and apparatus is provided that uses a deep learning (DL) network to improve the image quality of computed tomography (CT) images, which were reconstructed using an analytical reconstruction method. The DL network is trained to use physical-model information in addition to the analytical reconstructed images to generate the improved images. The physical-model information can be generated, e.g., by estimating a gradient of the objective function (or just the data-fidelity term) of a model-based iterative reconstruction (MBIR) method (e.g., by performing one or more iterations of the MBIR method). The MBIR method can incorporate physical models for X-ray scatter, detector resolution/noise/non-linearities, beam-hardening, attenuation, and/or the system geometry. The DL network can be trained using input data comprising images reconstructed using the analytical reconstruction method and target data comprising images reconstructed using the MBIR method.
    Type: Grant
    Filed: July 12, 2019
    Date of Patent: February 23, 2021
    Assignee: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Yujie Lu, Zhou Yu, Jian Zhou
  • Publication number: 20210007695
    Abstract: A method and apparatus is provided that uses a deep learning (DL) network to improve the image quality of computed tomography (CT) images, which were reconstructed using an analytical reconstruction method. The DL network is trained to use physical-model information in addition to the analytical reconstructed images to generate the improved images. The physical-model information can be generated, e.g., by estimating a gradient of the objective function (or just the data-fidelity term) of a model-based iterative reconstruction (MBIR) method (e.g., by performing one or more iterations of the MBIR method). The MBIR method can incorporate physical models for X-ray scatter, detector resolution/noise/non-linearities, beam-hardening, attenuation, and/or the system geometry. The DL network can be trained using input data comprising images reconstructed using the analytical reconstruction method and target data comprising images reconstructed using the MBIR method.
    Type: Application
    Filed: July 12, 2019
    Publication date: January 14, 2021
    Applicant: Canon Medical Systems Corporation
    Inventors: Yujie LU, Zhou Yu, Jian Zhou
  • Publication number: 20200340932
    Abstract: X-ray scatter simulations to correct computed tomography (CT) data can be accelerated using a non-uniform discretization of the RTE, reducing the number of computations without sacrificing precision. For example, a coarser discretization can be used for higher-order/multiple-scatter flux, than for first-order-scatter flux. Similarly, precision is preserved when coarser angular resolution is used to simulate scatter within a patient, and finer angular resolution used for the scatter flux incident on detectors. Finer energy resolution is more beneficial at lower X-ray energies, and coarser spatial resolution can be applied to regions exhibiting less X-ray scatter (e.g., air and regions with low radiodensity). Further, predefined non-uniform discretization can be learned from scatter simulations on training data (e.g., a priori compressed grids learned from non-uniform grids generated by adaptive mesh methods).
    Type: Application
    Filed: April 23, 2019
    Publication date: October 29, 2020
    Applicant: Canon Medical Systems Corporation
    Inventors: Yujie Lu, Zhou Yu, Richard Thompson
  • Publication number: 20200234471
    Abstract: A method and apparatus are provided for using a neural network to estimate scatter in X-ray projection images and then correct for the X-ray scatter. For example, the neural network is a three-dimensional convolutional neural network 3D-CNN to which are applied projection images, at a given view, for respective energy bins and/or material components. The projection images can be obtained by material decomposing spectral projection data, or by segmenting a reconstructed CT image into material-component images, which are then forward projected to generate energy-resolved material-component projections. The result generated by the 3D-CNN is an estimated scatter flux. To train the 3D-CNN, the target scatter flux in the training data can be simulated using a radiative transfer equation method.
    Type: Application
    Filed: January 18, 2019
    Publication date: July 23, 2020
    Applicant: Canon Medical Systems Corporation
    Inventors: Yujie Lu, Zhou Yu, Jian Zhou, Tzu-Cheng Lee, Richard Thompson
  • Patent number: 10593070
    Abstract: A method and apparatus is provided to simulate and correct for scatter flux detected in a computed tomography (CT) scanner. The scatter flux from a bowtie filter and an anti-scatter grid are pre-calculated to generate respective scatter tables. Scatter from an imaged object is simulated for some views of a CT scan using a three-step radiative transfer equation (RTE) method. Using the simulated scatter flux from these views, an accelerated simulation method, such as a multiplicative method, an additive method, and a kernel-based method, can determine scatter flux for the remaining views. The spatial model for X-ray scatter from the object can be based on a reconstructed image of object, and can be segmented into organs and material components having different scatter cross-sections. A scatter model outside the imaging region can be extrapolated using low-dose scanning, a scout scan, and/or anatomical information.
    Type: Grant
    Filed: December 22, 2017
    Date of Patent: March 17, 2020
    Assignee: Canon Medical Systems Corporation
    Inventors: Yujie Lu, Xiaohui Zhan, Zhou Yu, Richard Thompson
  • Patent number: 10338526
    Abstract: A device, system and method for holographic 3D imaging. The device includes a laser light source that delivers a laser beam; an aperture disc including at least two pinholes, the laser beam being filtered by the pinholes so that a reference wave and an object wave are generated; a sample having a first area containing an object to be imaged and a second area without any object, in which the first area and the second area are illuminated by the object wave and the reference wave respectively; and an image sensor that captures an off-axis hologram for reconstructing an image of the object, in which the reference wave and the object wave are interfered on the image sensor and the hologram is captured based on an interference pattern of the reference wave and the object wave.
    Type: Grant
    Filed: June 2, 2016
    Date of Patent: July 2, 2019
    Assignee: THE CHINESE UNIVERSITY OF HONG KONG
    Inventors: Yujie Lu, Yunhui Liu
  • Publication number: 20190197740
    Abstract: A method and apparatus is provided to simulate and correct for scatter flux detected in a computed tomography (CT) scanner. The scatter flux from a bowtie filter and an anti-scatter grid are pre-calculated to generate respective scatter tables. Scatter from an imaged object is simulated for some views of a CT scan using a three-step radiative transfer equation (RTE) method. Using the simulated scatter flux from these views, an accelerated simulation method, such as a multiplicative method, an additive method, and a kernel-based method, can determine scatter flux for the remaining views. The spatial model for X-ray scatter from the object can be based on a reconstructed image of object, and can be segmented into organs and material components having different scatter cross-sections. A scatter model outside the imaging region can be extrapolated using low-dose scanning, a scout scan, and/or anatomical information.
    Type: Application
    Filed: December 22, 2017
    Publication date: June 27, 2019
    Applicant: Toshiba Medical Systems Corporation
    Inventors: Yujie Lu, Xiaohui Zhan, Zhou Yu, Richard Thompson
  • Patent number: 10271811
    Abstract: A method and apparatus is provided to calculate scatter using a method to determine primary X-ray flux, first-scatter flux, and multiple-scatter flux using an integral formulation of a radiative transfer equation and using spherical-harmonic expansion. The integral for the primary X-ray flux does not include a spherical-harmonic expansion. The integral for the first-scatter flux includes an angle-dependent scatter cross-section. The integral for the multiple-scatter flux is performed iteratively, includes spherical harmonics, and includes a scatter cross-section expanded using Legendre polynomials. The integrals of attenuation along propagation rays can be accelerated using material decomposition of the attenuation coefficients. An anti-scatter-grid term can be included in the integrals to account for the effects of an anti-scatter grid on the fluxes prior to detection of the X-rays.
    Type: Grant
    Filed: July 14, 2016
    Date of Patent: April 30, 2019
    Assignee: TOSHIBA MEDICAL SYSTEMS CORPORATION
    Inventors: Yujie Lu, Yu Zou, Xiaolan Wang, Zhou Yu, Richard Thompson
  • Publication number: 20180014806
    Abstract: A method and apparatus is provided to calculate scatter using a method to determine primary X-ray flux, first-scatter flux, and multiple-scatter flux using an integral formulation of a radiative transfer equation and using spherical-harmonic expansion. The integral for the primary X-ray flux does not include a spherical-harmonic expansion. The integral for the first-scatter flux includes an angle-dependent scatter cross-section. The integral for the multiple-scatter flux is performed iteratively, includes spherical harmonics, and includes a scatter cross-section expanded using Legendre polynomials. The integrals of attenuation along propagation rays can be accelerated using material decomposition of the attenuation coefficients. An anti-scatter-grid term can be included in the integrals to account for the effects of an anti-scatter grid on the fluxes prior to detection of the X-rays.
    Type: Application
    Filed: July 14, 2016
    Publication date: January 18, 2018
    Applicant: TOSHIBA MEDICAL SYSTEMS CORPORATION
    Inventors: Yujie LU, Yu ZOU, XiaoIan WANG, Zhou YU, Richard Thompson
  • Publication number: 20170017202
    Abstract: A device, system and method for holographic 3D imaging. The device includes a laser light source that delivers a laser beam; an aperture disc including at least two pinholes, the laser beam being filtered by the pinholes so that a reference wave and an object wave are generated; a sample having a first area containing an object to be imaged and a second area without any object, in which the first area and the second area are illuminated by the object wave and the reference wave respectively; and an image sensor that captures an off-axis hologram for reconstructing an image of the object, in which the reference wave and the object wave are interfered on the image sensor and the hologram is captured based on an interference pattern of the reference wave and the object wave.
    Type: Application
    Filed: June 2, 2016
    Publication date: January 19, 2017
    Inventors: Yujie LU, Yunhui LIU
  • Publication number: 20160038029
    Abstract: Systems and methods for near-infrared fluorescence (NIRF) imaging and frequency-domain photon migration (FDPM) measurements. An optical tomography system includes a bed, a wheel, a light source, an image detector, and radio frequency (RF) circuitry. The bed is configured to support an object to be imaged. The wheel is configured to rotate about the bed. The light source is coupled to the wheel. The image detector is coupled to the wheel and disposed to capture images of the object. The RF circuitry is coupled to the light source and the image detector. The RF circuitry is configured to simultaneously generate a modulation signal to modulate the light source, and generate a demodulation signal to modulate a gain of the image detector.
    Type: Application
    Filed: March 17, 2014
    Publication date: February 11, 2016
    Inventors: Chinmay DARNE, Yujie LU, I-Chih TAN, Banghe ZHU, Eva SEVICK-MURACA