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- W2578293889 abstract "Magnetic resonance imaging can reveal exquisite details about the complex structure and function of human tissue. However, magnetic resonance imaging signal behaviour at high or ultra-high field has shown increased deviation from the classically expected mono-exponential relaxation. The underlying mechanism of anomalous relaxation can contribute to a better understanding of the interaction of spins with their surroundings. The purpose of this work is to explore the utility of the multi-term time-fractional Bloch equations in relation to the anomalous relaxation processes. We proposed an effective predictor–corrector method to solve the multi-term equations. Voxel-level temporal fitting of the magnetic resonance imaging signal was performed based on the model developed from the multi-term time-fractional Bloch equations. A feasible parameter estimation method based on hybrid Nelder–Mead simplex search and particle swarm optimisation was introduced to perform the curve fitting. The extra time-fractional terms provide flexibility in the relaxation process." @default.
- W2578293889 created "2017-01-26" @default.
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- W2578293889 date "2017-08-01" @default.
- W2578293889 modified "2023-10-16" @default.
- W2578293889 title "Multi-term time-fractional Bloch equations and application in magnetic resonance imaging" @default.
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- W2578293889 doi "https://doi.org/10.1016/j.cam.2017.01.018" @default.
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