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Abstract #2195

Comparison of k-space Sampling Patterns for MR Fingerprinting

Felix Horger1,2,3, Raphael Tomi-Tricot1,2,3,4, Pierluigi Di Cio1,3, Joseph Hajnal1,2,3, and Shaihan Malik1,2,3
1Biomedical Engineering Department, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 2Centre for the Developing Brain, School of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom, 3London Collaborative Ultra high field System (LoCUS), London, United Kingdom, 4MR Research Collaborations, Siemens Healthcare Limited, Frimley, United Kingdom

Synopsis

Keywords: MR Fingerprinting/Synthetic MR, In SilicoThe temporal low-rank property of signals produced by MR Fingerprinting can be used to circumvent reconstruction of individual time frames. Instead, temporally compressed components are estimated. Since every acquired sample then contributes to every compressed component, it is unclear which k-space sampling pattern is optimal. This work collects evidence for higher robustness of radial sampling towards measurement errors and its superior ability to resolve rapidly varying temporal signals, compared to a Cartesian pattern, simulated in a realistic scenario and supported by an in vivo observation. The aim is making informed decisions about optimal sampling patterns for MRF.

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Keywords