Development of a novel image-based correction method for geometric distortion in diffusion MRI

2018 Fiscal Year Final Research Report

• Project/Area Number: 15K08695
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Medical Physics and Radiological Technology
• Research Institution: Hokkaido University of Science
• Principal Investigator: Kumazawa Seiji 北海道科学大学, 保健医療学部, 教授 (50363354)
• Co-Investigator(Kenkyū-buntansha): 吉浦 敬 鹿児島大学, 医歯学域医学系, 教授 (40322747)
• Project Period (FY): 2015-04-01 – 2019-03-31
• Keywords: 拡散MRI / Echo planar imaging / 画像歪み補正

Outline of Final Research Achievements

We have developed an image-based correction method for distorted diffusion weighted MR images. Our method was the iterative-method to estimate an undistorted image and its associated field inhomogeneity map from the distorted EPI image using T1 weighted image. Our results demonstrate that our proposed method was able to perform a reasonable estimation of the field inhomogeneity map and undistorted EPI image.

Free Research Field

医用画像処理

Academic Significance and Societal Importance of the Research Achievements

これまで拡散MRIでは，歪んだ領域での組織構造情報の抽出や疾患評価が困難であった．本研究において開発した手法により拡散MR画像に対し歪み補正を行い， これまで歪みのため十分な解析がなされていない領域での組
織構造情報の解析が可能となり， アルツハイマー病などの神経疾患評価への応用・新たな知見の獲得が期待で
きる．