The Utility of a Convolutional Neural Network for Generating a Myelin Volume Index Map from Rapid Simultaneous Relaxometry Imaging-Reference-Cited by-同舟云学术

The Utility of a Convolutional Neural Network for Generating a Myelin Volume Index Map from Rapid Simultaneous Relaxometry Imaging

Published:2020 Issue:4 Volume:19 Page:324-332
ISSN:1347-3182
Container-title:Magnetic Resonance in Medical Sciences
language:en
Short-container-title:magn reson med sci

Author:

Tachibana Yasuhiko¹²,Hagiwara Akifumi²³,Hori Masaaki²,Kershaw Jeff¹,Nakazawa Misaki²,Omatsu Tokuhiko¹,Kishimoto Riwa¹,Yokoyama Kazumasa⁴,Hattori Nobutaka⁴,Aoki Shigeki²,Higashi Tatsuya⁵,Obata Takayuki¹⁵

Affiliation:

1. Applied MRI Research, Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences

2. Department of Radiology, Juntendo University School of Medicine

3. Department of Radiology, Graduate School of Medicine, The University of Tokyo

4. Department of Neurology, Juntendo University School of Medicine

5. Department of Molecular Imaging and Theranostics, National Institute of Radiological Sciences

Publisher

Japanese Society for Magnetic Resonance in Medicine

Subject

Radiology, Nuclear Medicine and imaging

Link

https://www.jstage.jst.go.jp/article/mrms/19/4/19_mp.2019-0075/_pdf

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3. 3. Hagiwara A, Hori M, Kamagata K, et al. Myelin measurement: comparison between simultaneous tissue relaxometry, magnetization transfer saturation index, and T₁w/T₂w ratio methods. Sci Rep 2018; 8:10554.

4. 4. Alonso-Ortiz E, Levesque IR, Pike GB. MRI-based myelin water imaging: a technical review. Magn Reson Med 2015; 73:70–81.

5. 5. Mezer A, Yeatman JD, Stikov N, et al. Quantifying the local tissue volume and composition in individual brains with magnetic resonance imaging. Nat Med 2013; 19:1667–1672.

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