Art

J-GLOBAL ID：201702268181366424   Reference number：17A0553546

Servoing Performance Enhancement via a Respiratory Organ Motion Prediction Model for a Non-Invasive Ultrasound Theragnostic System

非侵襲超音波診断・治療統合システムのための呼吸器運動予測モデルによる追従性能の向上

Author (14)： FUJII Tatsuya (Univ. Tokyo, Tokyo, JPN) ,  KOIZUMI Norihiro (Univ. Electro-Communications, Tokyo, JPN) ,  KAYASUGA Atsushi (Univ. Tokyo, Tokyo, JPN) ,  LEE Dongjun (Univ. Tokyo, Tokyo, JPN) ,  TSUKIHARA Hiroyuki (Univ. Tokyo, Tokyo, JPN) ,  FUKUDA Hiroyuki (Yokohama City Univ., Kanagawa, JPN) ,  YOSHINAKA Kiyoshi (National Inst. Advanced Industrial Sci. and Technol., Ibaraki, JPN) ,  AZUMA Takashi (Univ. Tokyo, Tokyo, JPN) ,  MIYAZAKI Hideyo (Univ. Tokyo, Tokyo, JPN) ,  SUGITA Naohiko (Univ. Tokyo, Tokyo, JPN) ,  NUMATA Kazushi (Yokohama City Univ., Kanagawa, JPN) ,  HOMMA Yukio (Univ. Tokyo, Tokyo, JPN) ,  MATSUMOTO Yoichiro (Univ. Tokyo, Tokyo, JPN) ,  MITSUISHI Mamoru (Univ. Tokyo, Tokyo, JPN)
Material： Journal of Robotics and Mechatronics  (J Robot Mechatron)
Volume： 29  Issue： 2  Page： 434-446  Publication year： Apr. 20, 2017 
JST Material Number： L0735A  ISSN： 0915-3942  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： diagnostic instrument ,...
Semi thesaurus term： respiratory organ ,...

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JST classification (1)： Biometry  (EL03020C)

Reference (19)：

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Terms in the title (8)： 非侵襲 ,  超音波診断 ,  治療 ,  統合システム ,  呼吸器 ,  運動 ,  予測モデル ,  追従性能