Patents by Inventor Zhang Chen

Zhang Chen 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: 20210397886
    Abstract: Described herein are neural network-based systems, methods and instrumentalities associated with estimating the motion of an anatomical structure. The motion estimation may be performed utilizing pre-learned knowledge of the anatomy of the anatomical structure. The anatomical knowledge may be learned via a variational autoencoder, which may then be used to optimize the parameters of a motion estimation neural network system such that, when performing motion estimation for the anatomical structure, the motion estimation neural network system may produce results that conform with the underlying anatomy of anatomical structure.
    Type: Application
    Filed: June 22, 2020
    Publication date: December 23, 2021
    Applicant: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
    Inventors: Xiao Chen, Pingjun Chen, Zhang Chen, Terrence Chen, Shanhui Sun
  • Publication number: 20210387306
    Abstract: A slurry blending tool may include a blending tank to receive and blend one or more materials into a slurry, and at least one inlet pipe connected to the blending tank and to provide the one or more materials to the blending tank. The at least one inlet pipe may vertically enter the blending tank and may not contact the blending tank. The slurry blending tool may include a blending pump partially provided within the blending tank and to blend the one or more materials into the slurry. The slurry blending tool may include an outlet pipe connected to the blending pump and to remove the slurry from the blending tank.
    Type: Application
    Filed: June 15, 2020
    Publication date: December 16, 2021
    Inventors: Chi-Wei CHIU, Yung-Long CHEN, Bo-Zhang CHEN, Chong-Cheng SU, Yu-Chun CHEN, Ching-Jung HSU, Lai-Chi TUNG
  • Publication number: 20210392786
    Abstract: A heat dissipation module is provided and includes a cold plate having a housing, and a frame body disposed on the housing and having two sidewalls and at least one first rib, where the two sidewalls are positioned at two sides of the housing, respectively, and the first rib is used to provide a deformation resistance so that the heat dissipation module will not be seriously deformed when secured.
    Type: Application
    Filed: March 9, 2021
    Publication date: December 16, 2021
    Inventors: Chien-An Chen, Chien-Yu Chen, Wei-Hao Chen, Bo-Zhang Chen, Chun-Chi Lai, Yun-Kuei Lin
  • Patent number: 11199602
    Abstract: Methods and systems for acquiring a visualization of a target. For example, a computer-implemented method for acquiring a visualization of a target includes: generating a first sampling mask; acquiring first k-space data of the target at a first phase using the first sampling mask; generating a first image of the target based at least in part on the first k-space data; generating a second sampling mask using a model based on at least one selected from the first sampling mask, the first k-space data, and the first image; acquiring second k-space data of the target at a second phase using the second sampling mask; and generating a second image of the target based at least in part on the second k-space data.
    Type: Grant
    Filed: August 29, 2019
    Date of Patent: December 14, 2021
    Assignee: Shanghai United Imaging Intelligence Co., Ltd.
    Inventors: Zhang Chen, Shanhui Sun, Terrence Chen
  • Patent number: 11120585
    Abstract: The present disclosure relates to a system. The system may obtain a k-space dataset according to magnetic resonance (MR) signals acquired by a magnetic resonance imaging (MRI) scanner. The system may also generate, based on the k-space dataset using an image reconstruction model that includes a sequence sub-model and a domain translation sub-model, a reconstructed image by: inputting at least a part of the k-space dataset into the sequence sub-model; outputting, from the sequence sub-model, a feature representation of the k-space dataset; inputting the feature representation of the k-space dataset into the domain translation sub-model; and outputting, from the domain translation sub-model, the reconstructed image.
    Type: Grant
    Filed: November 28, 2019
    Date of Patent: September 14, 2021
    Assignee: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
    Inventors: Zhang Chen, Shanhui Sun, Terrence Chen
  • Publication number: 20210272332
    Abstract: A standalone image reconstruction device is configured to reconstruct the raw signals received from a radiology scanner device into a reconstructed output signal. The image reconstruction device is a vendor neutral interface between the radiology scanner device and the post processing imaging device. The reconstructed output signal is a user readable domain that can be used to generate a medical image or a three-dimensional (3D) volume. The apparatus is configured to reconstruct signals from different types of radiology scanner devices using any suitable image reconstruction protocol.
    Type: Application
    Filed: February 28, 2020
    Publication date: September 2, 2021
    Applicant: Shanghai United Imaging Intelligence Co., LTD.
    Inventors: Arun Innanje, Shanhui Sun, Abhishek Sharma, Zhang Chen, Ziyan Wu
  • Publication number: 20210224634
    Abstract: A system for image reconstruction in magnetic resonance imaging (MRI) is provided. The system may obtain undersampled k-space data associated with an object, wherein the undersampled K-space data may be generated based on magnetic resonance (MR) signals collected by an MR scanner that scans the object. The system may construct an ordinary differential equation (ODE) that formulates a reconstruction of an MR image based on the undersampled k-space data. The system may further generate the MR image of the object by solving the ODE based on the undersampled k-space data using an ODE solver.
    Type: Application
    Filed: January 22, 2020
    Publication date: July 22, 2021
    Applicant: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
    Inventors: Zhang CHEN, Shanhui SUN, Terrence CHEN
  • Publication number: 20210193298
    Abstract: Methods and systems for classifying an image.
    Type: Application
    Filed: December 20, 2019
    Publication date: June 24, 2021
    Inventors: Shanhui Sun, Zhang Chen, Terrence Chen
  • Publication number: 20210192808
    Abstract: Methods and systems for reconstructing an image. For example, a method includes: receiving k-space data; receiving a transform operator corresponding to the k-space data; determining a distribution representing information associated with one or more previous iteration images; generating a next iteration image by an image reconstruction model to reduce an objective function, the objective function corresponding to a data consistency metric and a regularization metric; evaluating whether the next iteration image is satisfactory; and if the next iteration image is satisfactory, outputting the next iteration image as an output image. In certain examples, the data consistency metric corresponds to a first previous iteration image, the k-space data, and the transform operator. In certain examples, the regularization metric corresponds to the distribution. In certain examples, the computer-implemented method is performed by one or more processors.
    Type: Application
    Filed: December 19, 2019
    Publication date: June 24, 2021
    Inventors: Zhang Chen, Shanhui Sun, Terrence Chen
  • Publication number: 20210161422
    Abstract: A method includes acquiring initial scout images of a patient's heart, using a neural network to establish a patient specific heart model, and automatically plan imaging planes of the patient specific heart model, performing an accelerated scan of the patient's heart, using the neural network to determine a current location and pose of the patient's heart from the accelerated scan, and to reposition the imaging planes to correspond to the current location and pose of the patient's heart, and using the repositioned imaging planes to perform an acquisition scan and generate an image of the patient's heart from the acquisition scan according to a selected imaging protocol.
    Type: Application
    Filed: October 1, 2020
    Publication date: June 3, 2021
    Inventors: Xiao Chen, Shanhui Sun, Zhang Chen, Terrence Chen
  • Publication number: 20210165064
    Abstract: A method includes using fully sampled retro cine data to train an algorithm, and applying the trained algorithm to real time MR cine data to yield reconstructed MR images.
    Type: Application
    Filed: October 1, 2020
    Publication date: June 3, 2021
    Applicant: Shanghai United Imaging Intelligence Co., LTD.
    Inventors: Zhang Chen, Xiao Chen, Shanhui Sun, Terrence Chen
  • Publication number: 20210166445
    Abstract: A system for reconstructing magnetic resonance images includes a processor that is configured to obtain, from a magnetic resonance scanner, sub-sampled k-space data; apply an inverse fast fourier transform to the sub-sampled k-space data to generate a preliminary image; and process the preliminary image via a trained cascaded recurrent neural network to reconstruct a magnetic resonance image.
    Type: Application
    Filed: November 29, 2019
    Publication date: June 3, 2021
    Inventors: Puyang Wang, Zhang Chen, Shanhui Sun, Terrence Chen
  • Publication number: 20210166446
    Abstract: The present disclosure relates to a system. The system may obtain a k-space dataset according to magnetic resonance (MR) signals acquired by a magnetic resonance imaging (MRI) scanner. The system may also generate, based on the k-space dataset using an image reconstruction model that includes a sequence sub-model and a domain translation sub-model, a reconstructed image by: inputting at least a part of the k-space dataset into the sequence sub-model; outputting, from the sequence sub-model, a feature representation of the k-space dataset; inputting the feature representation of the k-space dataset into the domain translation sub-model; and outputting, from the domain translation sub-model, the reconstructed image.
    Type: Application
    Filed: November 28, 2019
    Publication date: June 3, 2021
    Inventors: Zhang CHEN, Shanhui SUN, Terrence CHEN
  • Publication number: 20210158510
    Abstract: Described herein are neural network-based systems, methods and instrumentalities associated with estimating a thickness of an anatomical structure based on a visual representation of the anatomical structure and a machine-learned thickness prediction model. The visual representation may include an image or a segmentation mask of the anatomical structure. The thickness prediction model may be learned based on ground truth information derived by applying a partial differential equation such as Laplace's equation to the visual representation and solving the partial differential equation. When the visual representation includes an image of the anatomical structure, the systems, methods and instrumentalities described herein may also be capable of generating a segmentation mask of the anatomical structure based on the image.
    Type: Application
    Filed: September 8, 2020
    Publication date: May 27, 2021
    Applicant: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
    Inventors: Qiaoying Huang, Shanhui Sun, Zhang Chen, Terrence Chen
  • Publication number: 20210158543
    Abstract: Described herein are systems, methods and instrumentalities associated with motion tracking and strain determination. A motion tracking apparatus as described herein may track the motion of an anatomical structure from a source image to a target image and determine corresponding points on one or more surfaces of the anatomical structure in both the source image and the target image. Using these surface points, the motion tracking apparatus may calculate one or more strain parameters associated with the anatomical structure and provide the strain parameters for medical diagnosis and/or treatment.
    Type: Application
    Filed: October 14, 2020
    Publication date: May 27, 2021
    Applicant: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
    Inventors: Shanhui Sun, Hanchao Yu, Qiaoying Huang, Zhang Chen, Terrence Chen
  • Publication number: 20210158937
    Abstract: A medical system may utilize a modular and extensible sensing device to derive a two-dimensional (2D) or three-dimensional (3D) human model for a patient in real-time based on images of the patient captured by a sensor such as a digital camera. The 2D or 3D human model may be visually presented on one or more devices of the medical system and used to facilitate a healthcare service provided to the patient. In examples, the 2D or 3D human model may be used to improve the speed, accuracy and consistency of patient positioning for a medical procedure. In examples, the 2D or 3D human model may be used to enable unified analysis of the patient's medical conditions by linking different scan images of the patient through the 2D or 3D human model. In examples, the 2D or 3D human model may be used to facilitate surgical navigation, patient monitoring, process automation, and/or the like.
    Type: Application
    Filed: April 28, 2020
    Publication date: May 27, 2021
    Applicant: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
    Inventors: Ziyan Wu, Srikrishna Karanam, Arun Innanje, Shanhui Sun, Abhishek Sharma, Yimo Guo, Zhang Chen
  • Publication number: 20210158512
    Abstract: Described herein are neural network-based systems, methods and instrumentalities associated with imagery data processing. The neural networks may be pre-trained to learn parameters or models for processing the imagery data and upon deployment the neural networks may automatically perform further optimization of the learned parameters or models based on a small set of online data samples. The online optimization may be facilitated via offline meta-learning so that the optimization may be accomplished quickly in a few optimization steps.
    Type: Application
    Filed: September 30, 2020
    Publication date: May 27, 2021
    Applicant: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
    Inventors: Shanhui Sun, Hanchao Yu, Xiao Chen, Zhang Chen, Terrence Chen
  • Publication number: 20210133984
    Abstract: A system for physiological motion measurement is provided. The system may acquire a reference image corresponding to a reference motion phase of an ROI and a target image of the ROI corresponding to a target motion phase, wherein the reference motion phase may be different from the target motion phase. The system may identify one or more feature points relating to the ROI from the reference image, and determine a motion field of the feature points from the reference motion phase to the target motion phase using a motion prediction model. An input of the motion prediction model may include at least the reference image and the target image. The system may further determine a physiological condition of the ROI based on the motion field.
    Type: Application
    Filed: November 4, 2019
    Publication date: May 6, 2021
    Applicant: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
    Inventors: Shanhui SUN, Zhang CHEN, Terrence CHEN, Ziyan WU
  • Publication number: 20210125331
    Abstract: Systems and methods for generating and tracking shapes of a target may be provided. The method may include obtaining at least one first resolution image corresponding to at least one of a sequence of time frames of a medical scan. The method may include determining, according to a predictive model, one or more shape parameters regarding a shape of a target from the at least one first resolution image. The method may include determining, based on the one or more shape parameters and a shape model, at least one shape of the target from the at least one first resolution image. The method may further include generating a second resolution visual representation of the target by rendering the determined shape of the target.
    Type: Application
    Filed: October 25, 2019
    Publication date: April 29, 2021
    Applicant: SHANGHAI UNITED IMAGING INTELLIGENCE CO., LTD.
    Inventors: Shanhui SUN, Zhang CHEN, Terrence CHEN
  • Publication number: 20210104327
    Abstract: Databases of specimen profiles of reference loci, and methods of querying the databases with samples to detect and assess changes in the physiological state of an organism. Reporting certain changes in a state, as well as providing a risk assessment.
    Type: Application
    Filed: September 17, 2020
    Publication date: April 8, 2021
    Applicant: Genenius Genetics
    Inventor: Aaron Zhang-Chen