Patents by Inventor Jiayin Zhou

Jiayin Zhou 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: 20210343031
    Abstract: The invention relates to a computerized method (200) for localizing a lesion in an organ of a subject, comprises performing: a first image registration operation (400) for determining a rigid transformation matrix based on alignment of a two-dimensional ultrasound (2D-US) image representation (116) and a three-dimensional computed tomography (3D-CT) image representation (120) of the organ, the 2D-US image representation (116) acquired from a transducer probe (114); a second image registration operation (500) for refining the rigid transformation matrix based on image feature descriptors of the 2D-US and 3D-CT image representations (116, 120); and a localization operation (600) for localizing the lesion relative to the transducer probe (114) based on the refined rigid transformation matrix and a 3D-CT position of the lesion in the 3D-CT image representation (120). A system for performing the method is also disclosed herein.
    Type: Application
    Filed: August 29, 2018
    Publication date: November 4, 2021
    Inventors: Yanling CHI, Weimin HUANG, Jiayin ZHOU, Kyaw Kyar TOE, Stephen CHANG, Chee Kong CHUI
  • Patent number: 10832492
    Abstract: The present disclosure generally relates to an automated method and system for generating a panoramic visualization of a coronary arterial tree of a subject. The method comprises: acquiring an image volume of a thoracic cavity of the subject, the image volume providing a three-dimensional (3D) representation of the thoracic cavity; isolating a coronary structure in the 3D representation by abating one or more other anatomical structures in the thoracic cavity; abating one or more portions of the coronary structure in the 3D representation that attenuate visualization of the coronary arterial tree; generating, by maximum intensity projection (MIP), a plurality of MIP images of the coronary structure from the 3D representation; and compositing the MIP images to generate the panoramic visualization of the coronary arterial tree.
    Type: Grant
    Filed: March 31, 2017
    Date of Patent: November 10, 2020
    Assignees: AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH, SINGAPORE HEALTH SERVICES PTE LTD
    Inventors: Yanling Chi, Liang Zhong, Ru San Tan, Weimin Huang, Jiayin Zhou, Kyaw Kyar Toe
  • Patent number: 10349910
    Abstract: A method for assessing blood vessel stenosis using image data of a subject is disclosed. The image data represents a vascular structure of the subject. The method comprises: (a) segmenting, from the image data, a vessel segment representing a segment of a blood vessel, (b) obtaining, using the image data, a plurality of two-dimensional images of the vessel segment; said plurality of two-dimensional images representing respective cross-sections of the vessel segment, (c) identifying, for each of the plurality of two-dimensional images, a lumen area comprising lumen pixels representing a lumen of the corresponding cross-section, (d) obtaining a quantitative measure using the lumen areas of successive cross-sections of the vessel segment, and (e) assessing blood vessel stenosis using the quantitative measure. A computer system for performing the above method is disclosed.
    Type: Grant
    Filed: March 30, 2016
    Date of Patent: July 16, 2019
    Assignees: AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH, SINGAPORE HEALTH SERVICES PTE LTD
    Inventors: Liang Zhong, Ru San Tan, Weimin Huang, Jiayin Zhou, Yuping Duan, Wei Xiong, Yanling Chi, Kyaw Kyar Toe
  • Publication number: 20190122445
    Abstract: The present disclosure generally relates to an automated method and system for generating a panoramic visualization of a coronary arterial tree of a subject. The method comprises: acquiring an image volume of a thoracic cavity of the subject, the image volume providing a three-dimensional (3D) representation of the thoracic cavity; isolating a coronary structure in the 3D representation by abating one or more other anatomical structures in the thoracic cavity; abating one or more portions of the coronary structure in the 3D representation that attenuate visualization of the coronary arterial tree; generating, by maximum intensity projection (MIP), a plurality of MIP images of the coronary structure from the 3D representation; and compositing the MIP images to generate the panoramic visualization of the coronary arterial tree.
    Type: Application
    Filed: March 31, 2017
    Publication date: April 25, 2019
    Applicants: AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH, SINGAPORE HEALTH SERVICES PTE LTD
    Inventors: Yanling CHI, Liang ZHONG, Ru San TAN, Weimin HUANG, Jiayin ZHOU, Kyaw Kyar TOE
  • Publication number: 20190029625
    Abstract: A method for assessing blood vessel stenosis using image data of a subject is disclosed. The image data represents a vascular structure of the subject. The method comprises: (a) segmenting, from the image data, a vessel segment representing a segment of a blood vessel, (b) obtaining, using the image data, a plurality of two-dimensional images of the vessel segment; said plurality of two-dimensional images representing respective cross-sections of the vessel segment, (c) identifying, for each of the plurality of two-dimensional images, a lumen area comprising lumen pixels representing a lumen of the corresponding cross-section, (d) obtaining a quantitative measure using the lumen areas of successive cross-sections of the vessel segment, and (e) assessing blood vessel stenosis using the quantitative measure. A computer system for performing the above method is disclosed.
    Type: Application
    Filed: March 30, 2016
    Publication date: January 31, 2019
    Inventors: Liang ZHONG, Ru San TAN, Weimin HUANG, Jiayin ZHOU, Yuping DUAN, Wei XIONG, Yanling CHI, Kyaw Kyar TOE
  • Patent number: 9786202
    Abstract: A surgical training system and method. The system comprises means for recording reference data representing a reference manipulation of a computer generated model of an object by a master user; means for physically guiding a trainee user based on the recorded reference data during a training manipulation of the model of the object by the trainee user; and means for recording assessment data representing an assessment manipulation of the model of the object by the trainee user without guidance.
    Type: Grant
    Filed: March 4, 2011
    Date of Patent: October 10, 2017
    Assignees: Agency for Science, Technology and Research, National University Hospital (S) Pte Ltd., National University of Singapore
    Inventors: Weimin Huang, Jiang Liu, Jiayin Zhou, Jing Zhang, Beng Hai Lee, Wing Kee Wong, Ngan Meng Tan, Zhuo Zhang, Fengshou Yin, Stephen Chang, Chee Kong Chui, Yi Su
  • Patent number: 8764448
    Abstract: A robotic device for use in image-guided robot assisted surgical training, the robotic device comprising a manual interface structure configured to simulate handling of a surgical tool; a translational mechanism for translational motion of the manual interface structure; a rotational mechanism for rotational motion of the manual interface structure; and a spherical mechanism configured to decouple the orientation of the manual interface structure into spatial coordinates, wherein a linkage between the rotational mechanism, the rotational mechanism and the spherical mechanism, and the manual interface structure are disposed on opposing sides of an intersection of a pitch axis and a yaw axis of the spherical mechanism.
    Type: Grant
    Filed: September 1, 2011
    Date of Patent: July 1, 2014
    Assignees: Agency for Science, Technology and Research, National University Hospital (s) PTE Ltd, National University of Singapore
    Inventors: Tao Yang, Liangjing Yang, Jiang Liu, Chee Kong Chui, Weimin Huang, Jing Zhang, Jiayin Zhou, Beng Hai Lee, Ngan Meng Tan, Wing Kee Damon Wong, Fengshou Yin, Kin Yong Chang, Yi Su
  • Publication number: 20130224710
    Abstract: A robotic device for use in image-guided robot assisted surgical training, the robotic device comprising a manual interface structure configured to simulate handling of a surgical tool; a translational mechanism for translational motion of the manual interface structure; a rotational mechanism for rotational motion of the manual interface structure; and a spherical mechanism configured to decouple the orientation of the manual interface structure into spatial coordinates, wherein a linkage between the rotational mechanism, the rotational mechanism and the spherical mechanism, and the manual interface structure are disposed on opposing sides of an intersection of a pitch axis and a yaw axis of the spherical mechanism.
    Type: Application
    Filed: September 1, 2011
    Publication date: August 29, 2013
    Applicants: AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH, NATIONAL UNIVERSITY OF SINGAPORE, NATIONAL UNIVERSITY HOSPITAL (S) PTE LTD
    Inventors: Tao Yang, Liangjing Yang, Jiang Liu, Chee Kong Chui, Weimin Huang, Jing Zhang, Jiayin Zhou, Beng Hai Lee, Ngan Meng Tan, Wing Kee Damon Wong, Fengshou Yin, Kin Yong Chang, Yi Su
  • Publication number: 20130196300
    Abstract: A surgical training system and method. The system comprises means for recording reference data representing a reference manipulation of a computer generated model of an object by a master user; means for physically guiding a trainee user based on the recorded reference data during a training manipulation of the model of the object by the trainee user; and means for recording assessment data representing an assessment manipulation of the model of the object by the trainee user without guidance.
    Type: Application
    Filed: March 4, 2011
    Publication date: August 1, 2013
    Applicants: AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCH, NATIONAL UNIVERSITY HOSPITAL (S) PTE LTD, NATIONAL UNIVERSITY OF SINGAPORE
    Inventors: Weimin Huang, Jiang Liu, Jiayin Zhou, Jing Zhang, Beng Hai Lee, Wing Kee Wong, Ngan Meng Tan, Zhou Zhang, Fengshou Yin, Stephen Chang, Chee Kong Chui, Yi Su