Development of integrated quantitative myelin imaging for demyelinating diseases

2022 Fiscal Year Final Research Report

• Project/Area Number: 20K07997
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 52040:Radiological sciences-related
• Research Institution: The University of Tokushima
• Principal Investigator: KANAZAWA Yuki 徳島大学, 大学院医歯薬学研究部(医学域), 助教 (80714013)
• Project Period (FY): 2020-04-01 – 2023-03-31
• Keywords: 磁気共鳴画像（MRI） / 髄鞘（ミエリン） / 緩和時間 / 磁化率 / 拡散係数 / 磁化移動 / 機械学習

Outline of Final Research Achievements

In this study, we developed an integrated myelin imaging method focusing on the quantitative parameters of relaxation time, magnetic susceptibility, diffusion coefficient, and magnetization transfer, which can be calculated from magnetic resonance imaging (MRI).
Quantitative analysis of myelin content was performed for demyelinating diseases. An integrated quantitative myelin map derived from a convolutional neural network (CNN) using myelin water fraction (MWF), diffusion kurtosis imaging (DKI), quantitative susceptibility mapping (QSM), and quantitative parameter mapping (QPM), was constructed for healthy subject data.

Free Research Field

磁気共鳴医学，放射線科学

Academic Significance and Societal Importance of the Research Achievements

ミエリン含有量を測定することは，多発性硬化症や認知症などの神経変性疾患の診断や治療方針の決定をするために重要になっている．しかし，ミエリン含有量の計測や，症状を呈し臨床的には脱髄性疾患と診断される病変（NAWM）の検出に，様々なMRIから算出される定量パラメータが適合し，相互的に関係があるか解明されていない．