Machine Learning-Based Noise Analysis of Magnetization Response Signals for Magnetic Particle Imaging

カテゴリ: 全国大会

論文No: 2-069

グループ名: 【全国大会】令和7年電気学会全国大会論文集

発行日: 2025/03/01

タイトル(英語): Machine Learning-Based Noise Analysis of Magnetization Response Signals for Magnetic Particle Imaging

著者名: AgbehounkpanNaboua Donan Jose（Yokohama National University）,SukoBagus Trisnanto（Yokohama National University）,TakemuraYasushi（Yokohama National University）,TomitakaAsahi（University of Houston-Victoria/Kennesaw State University）,OtaSatoshi（Shizuoka Univers

著者名(英語): Naboua Donan Jose Agbehounkpan (Yokohama National University),Bagus Trisnanto Suko (Yokohama National University),Yasushi Takemura (Yokohama National University),Asahi Tomitaka (University of Houston-Victoria/Kennesaw State University),Satoshi Ota (Shizuo

要約(英語): Magnetic particle imaging (MPI) is a new tomographic imaging technique that uses the non-linear response of magnetic nanoparticles (MNPs). Applying an oscillating magnetic field with frequency f0 and sufficiently high amplitude A to MNPs cause them to exh

本誌掲載ページ: 75-76 p

原稿種別: 英語

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