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Prediction of Amyloid-ß Deposition Using Multiple Regression Analysis of Quantitative Susceptibility Mapping

Author:Ryota Sato  Kohsuke Kudo  Niki Udo  Masaaki Matsushima  Ichiro Yabe  Akinori Yamaguchi  Makoto Sasaki  Masafumi Harada  Noriyuki Matsukawa  Tomoki Amemiya  Yasuo Kawata  Yoshitaka Bito  Hisaaki Ochi  Toru Shirai  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Improving Susceptibility Mapping: Greater Speed, Information & Accuracy  

Session Name:QSM Clinical Applications  

Program Number:3986  

Room Session:Concurrent 2  

Institution:Hitachi, Ltd.  Hokkaido University  Hokkaido University Graduate School of Medicine  Iwate Medical University  Nagoya City University  Tokushima University