2023 Fiscal Year Final Research Report
Arely detection of the brain atrophy with Sy-VBM using MRI
| Project/Area Number |
20K08057
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Review Section |
Basic Section 52040:Radiological sciences-related
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| Research Institution | Juntendo University |
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Principal Investigator |
Goto Masami 順天堂大学, 保健医療学部, 先任准教授 (30375844)
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| Project Period (FY) |
2020-04-01 – 2024-03-31
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| Keywords | 脳形態評価 / 磁気共鳴画像 |
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| Outline of Final Research Achievements |
Magnetic resonance (MR) imaging, combined with Voxel-based Morphometry (VBM) analysis, is widely used for assessing brain volume changes in various conditions, including neurodegenerative diseases. In this study, we developed a novel brain volume evaluation method called Sy-VBM by applying VBM analysis to MR images generated from quantitative measurements of brain tissue. Sy-VBM demonstrates significantly higher sensitivity in detecting brain volume changes compared to existing methods, making it a valuable tool for early detection of diseases associated with brain atrophy and serving as a high-precision biomarker. Additionally, we validated that the multi-contrast region extraction technique forming the foundation of Sy-VBM achieves superior accuracy in region segmentation compared to previous approaches.
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| Free Research Field |
脳形態評価
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| Academic Significance and Societal Importance of the Research Achievements |
パーキンソン病やアルツハイマー型認知症、統合失調症に罹患する人口は増加傾向にある。磁気共鳴（MR）画像をVoxel-based morphotometry（VBM）解析することによる脳容積評価法は、このような疾患に対する研究や臨床応用において数多く行われており、病態進行評価や疾患鑑別指標としての脳容積評価法の有用性は確立されている。この脳容積評価法に関連する技術を改善することは、疾患の早期発見や経過観察のためのバイオマーカの精度を向上させ、健康維持への貢献を果たすことができる。さらに、自身の脳萎縮状態を把握することは予防医学にも関連し、医療費削減にも貢献できる。
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