Develop a MR imaging method and equipment maintenance management system for early detection of dementia

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K01732
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Applied health science
• Research Institution: Fujita Health University
• Principal Investigator: Yamaguchi Kojiro 藤田保健衛生大学, 保健学研究科, 准教授 (40267927)
• Co-Investigator(Kenkyū-buntansha): 梅沢 栄三 藤田保健衛生大学, 保健学研究科, 准教授 (50318359) ; 児玉 直樹 新潟医療福祉大学, 医療技術学部, 教授 (50383146) ; 山田 雅之 藤田保健衛生大学, 保健学研究科, 教授 (40383773)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 認知症 / アルツハイマー型認知症 / 軽度認知症 / 進行予測 / MRI / 数値シミュレーション / RFパルス角度

Outline of Final Research Achievements

The purpose of our study is to develop a performance evaluation system in MRI(magnetic resonace imaging) that can predict the progress from amnesia, which is one of mild cognitive impairment, to Alzheimer disease. It is possible to set parameters that tissue contrast can be higher and evaluate temporal change of images. And it is mathematically possible to analyze MR phenomena by numerical simulation using Bloch equation, and α degrees and β degrees, which are regarded as RF angles of MRI pulse sequence, were calculated.As a result of the simulation, by changing the RF angle from 90 ° -180 ° to α ° - β °, the CNR(contrast noise ratio) of white matter and gray matter was improved by 26%, and the SAR(specific absorption rate) was also reduced by 33.6%.
We have established an evaluation method of edge response and SNR(signal-to-noise ratio) from diffusion images, which makes it possible to evaluate benchmarks that do not depend on the model dependence of MRI units.

Free Research Field

総合領域