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    DEVICE AND METHOD FOR MEASURING WAVEFORM OF LIGHT WAVE
    302.
    发明公开
    DEVICE AND METHOD FOR MEASURING WAVEFORM OF LIGHT WAVE 审中-公开

    公开(公告)号：EP3382355A1

    公开(公告)日：2018-10-03

    申请号：EP16866704.6

    申请日：2016-11-18

    Applicant: Institute for Basic Science ,  Gwangju Institute of Science and Technology

    Inventor： KIM, Kyung-Taec ,  NAM, Chang-Hee ,  PARK, Seung-Beom ,  CHO, Wo-Sik ,  KIM, Kyung-Seung

    IPC: G01J9/02 ,  G02B27/14

    CPC classification number: G01J11/00 ,  G01J9/02 ,  G02B27/14

    Abstract: The present invention relates to a apparatus and method for measuring a waveform of a light wave. A light wave measurement apparatus according to an embodiment of the present invention includes a pulse separation unit to separate an input light wave into a fundamental pulse and a signal pulse, a time delay adjustment unit to adjust a time delay between the fundamental pulse and the signal pulse, a focusing unit to focus the fundamental pulse and the signal pulse whose time delay is adjusted on an ionization material, and an ionization yield measurement unit to measure an ionization yield from electrons and/or ions generated by the focused fundamental pulse and signal pulse. The waveform of the input light wave is obtained by obtaining an ionization yield modulation changed by the signal pulse as a function of the time delay.

    3D MORHPHOLOGICAL OR ANATOMICAL LANDMARK DETECTION METHOD AND DEVICE USING DEEP REINFORCEMENT LEARNING
    310.
    发明公开
    3D MORHPHOLOGICAL OR ANATOMICAL LANDMARK DETECTION METHOD AND DEVICE USING DEEP REINFORCEMENT LEARNING 审中-公开

    公开(公告)号：EP4016470A1

    公开(公告)日：2022-06-22

    申请号：EP21214467.9

    申请日：2021-12-14

    Applicant: Industry-Academic Cooperation Foundation, Yonsei University ,  Institute for Basic Science

    Inventor： Lee, Sang Hwy ,  Kang, Sung Ho ,  Jeon, Ki Wan

    IPC: G06V10/44

    Abstract: Provided are 3D morphological or anatomical landmark detection method and device using deep reinforcement learning, in which the method includes performing volume rendering on 3D image data to generate 3D volume rendered model data, and applying a single-stage deep reinforcement learning (DRL), including obtaining a 2D coordinate value corresponding to a landmark point on a 2D view image, which is constructed by the 3D volume rendered model data, by using a deep reinforcement learning agent, and obtaining a remaining 1D coordinate value corresponding to the landmark point based on an 1D profile of the 3D image data which is obtained based on the 2D coordinate value. The method may further include applying a multi-stage DRL, including detecting the landmark point by repeating the operations of obtaining the 2D coordinate value corresponding to the landmark point on the 2D view image, which is constructed by the 3D volume rendered model data, by using the deep reinforcement learning agent, and, from a 2D view image which is determined based on the obtained 2D coordinate value, obtaining a 2D coordinate value corresponding to the landmark point by using a deep reinforcement learning agent.

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