2021 Fiscal Year Final Research Report
Research on innovative signal analysis for real-time magnetic resonance imaging of extremely small areas
Project/Area Number |
18H03259
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Review Section |
Basic Section 61010:Perceptual information processing-related
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Research Institution | University of Toyama |
Principal Investigator |
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Project Period (FY) |
2018-04-01 – 2021-03-31
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Keywords | 信号処理 / MRI |
Outline of Final Research Achievements |
In this study, the spatial resolution of the existing 1.5 T magnetic resonance imaging (MRI) was attempted to be improved from 0.7 mm to 50 μm by accurately analyzing the MRI signal using high-precision signal analysis. In experiment, MRI measurement data is analyzed by each method; fast Fourier transform (FFT) commonly used for MRI image reconstruction, interpolation method, NHA. MRI images were reconstructed and compared based on the analysis results of each method.From the experimental results, in the MRI image by FFT and interpolation method, the resolution was insufficient, and the sidelobes smoothed out the intensity values, making it impossible to confirm the detailed water distribution. On the other hand, the MRI image by NHA greatly suppressed the occurrence of sidelobes by accurately analyzing the measurement data, and locations that were blocky in the FFT were divided into multiple intensity values.
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Free Research Field |
信号処理
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Academic Significance and Societal Importance of the Research Achievements |
MRIは、非侵襲的に物体内を可視化できるため幅広く活用されており、MRIで計測した信号は一般的にFFTを用いて画像へ再構成している。このFFTに代わって、NHAを応用することで、設備はそのままで性能を極限まで高め、低磁場でこれまで以上の空間分解能を実現できる可能性を示した。
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