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    SYSTEM, METHOD, AND PROGRAM FOR TOMOGRAPHIC IMAGING, AND RECORDING MEDIUM IN WHICH PROGRAM IS RECORDED
    2.
    发明公开
    SYSTEM, METHOD, AND PROGRAM FOR TOMOGRAPHIC IMAGING, AND RECORDING MEDIUM IN WHICH PROGRAM IS RECORDED 审中-公开

    公开(公告)号：EP4283343A1

    公开(公告)日：2023-11-29

    申请号：EP22742694.7

    申请日：2022-01-21

    申请人： RIKEN

    发明人： TAKANASHI, Takaoki ,  NODA, Shigeho ,  TAMURA, Masaru ,  OTAKE, Yoshie

    IPC分类号： G01T1/161 ,  A61B6/03 ,  G06T1/00

    摘要： To provide a system, a method, and a program whereby a reconstructed image supported by an algebraically exact solution of an inverse discrete Radon transform can be generated using fewer computational resources, and a recording medium in which the program is recorded. A computer-implemented method for determining an operating parameter of a tomographic imaging system for reconstructing a tomographic image by an inverse discrete Radon transform in a scan angle range of less than (180°-180°/number of projections), wherein the method includes: a step for determining a system matrix on the basis of the value of one or two operating parameters designated from among a number of detection elements, a number of projections, and a scan angle range less than (180°-180°/number of projections); a step for generating a square system matrix from the determined system matrix; a step for deciding whether an inverse matrix exists for the square system matrix; and a step for repeating said steps as necessary to determine the value of an operating parameter that corresponds to an operating parameter other than the designated one or two operating parameters, for which the inverse matrix of the square system matrix exists.

    LEARNING DEVICE, METHOD, AND PROGRAM, GRAPH STRUCTURE EXTRACTION DEVICE, METHOD, AND PROGRAM, AND LEARNED EXTRACTION MODEL
    9.
    发明公开
    LEARNING DEVICE, METHOD, AND PROGRAM, GRAPH STRUCTURE EXTRACTION DEVICE, METHOD, AND PROGRAM, AND LEARNED EXTRACTION MODEL 审中-公开

    公开(公告)号：EP4005487A1

    公开(公告)日：2022-06-01

    申请号：EP20844461.2

    申请日：2020-07-22

    申请人： FUJIFILM Corporation

    发明人： KESHWANI, Deepak

    IPC分类号： A61B6/03 ,  A61B5/055 ,  G01T1/161 ,  G06N20/00 ,  G06T7/00

    摘要： A learning unit derives, from a target image including at least one tubular structure, in a case where an image for learning and ground-truth data of a graph structure included in the image for learning are input to an extraction model which extracts a feature vector of a plurality of nodes constituting a graph structure of the tubular structure, a loss between nodes on the graph structure included in the image for learning on the basis of an error between a feature vector distance between nodes belonging to the same graph structure and a topological distance which is a distance on a route of the graph structure between the nodes, and performs learning of the extraction model on the basis of the loss.