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• W2769902105 abstract "Purpose MR electrical properties tomography (MR‐EPT) aims to measure tissue electrical properties by computing spatial derivatives of measured data. This computation is very sensitive to spatial fluctuations caused, for example, by noise and Gibbs ringing. In this work, the error arising from the computation of spatial derivatives using finite difference kernels (FD error) has been investigated. In relation to this FD error, it has also been investigated whether mitigation strategies such as Gibbs ringing correction and Gaussian apodization can be beneficial for conductivity reconstructions. Methods Conductivity reconstructions were performed on a phantom (by means of simulations and MR measurements at 3T) and on a human brain model. The accuracy was evaluated as a function of image resolution, FD kernel size, k‐space windowing, and signal‐to‐noise ratio. The impact of mitigation strategies was also investigated. Results The adopted small FD kernel is highly sensitive to spatial fluctuations, whereas the large FD kernel is more noise‐robust. However, large FD kernels lead to extended numerical boundary error propagation, which severely hampers the MR‐EPT reconstruction accuracy for highly spatially convoluted tissue structures such as the human brain. Mitigation strategies slightly improve the accuracy of conductivity reconstructions. For the adopted derivative kernels and the investigated scenario, MR‐EPT conductivity reconstructions show low accuracy: less than 37% of the voxels have a relative error lower than 30%. Conclusion The numerical error introduced by the computation of spatial derivatives using FD kernels is one of the major causes of limited accuracy in Helmholtz‐based MR‐EPT reconstructions. Magn Reson Med 80:90–100, 2018. © 2017 International Society for Magnetic Resonance in Medicine." @default.
• W2769902105 created "2017-12-04" @default.
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• W2769902105 date "2017-11-16" @default.
• W2769902105 modified "2023-10-16" @default.
• W2769902105 title "Error analysis of helmholtz-based MR-electrical properties tomography" @default.
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• W2769902105 doi "https://doi.org/10.1002/mrm.27004" @default.
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