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• W3097996822 abstract "Magnetic resonance fingerprinting (MRF) is able to estimate multiple quantitative tissue parameters from a relatively short acquisition. The main characteristic of an MRF sequence is the simultaneous application of (a) transient states excitation and (b) highly undersampled $k$-space. Despite the promising empirical results obtained with MRF, no work has appeared that formally describes the combined impact of these two aspects on the reconstruction accuracy. In this paper, a mathematical model is derived that directly relates the time varying RF excitation and the $k$-space sampling to the spatially dependent reconstruction errors. A subsequent in-depth analysis identifies the mechanisms by which MRF sequence properties affect accuracy, providing a formal explanation of several empirically observed or intuitively understood facts. New insights are obtained which show how this analytical framework could be used to improve the MRF protocol." @default.
• W3097996822 created "2020-11-23" @default.
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• W3097996822 date "2019-10-01" @default.
• W3097996822 modified "2023-10-16" @default.
• W3097996822 title "Understanding the Combined Effect of ${k}$ -Space Undersampling and Transient States Excitation in MR Fingerprinting Reconstructions" @default.
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• W3097996822 doi "https://doi.org/10.1109/tmi.2019.2900585" @default.
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