Sensitivity gain from multi-echo acquisitions in ex-vivo diffusion imaging: 
Numerical simulations and experimental verification

Eichner, Cornelius; Paquette, Michael; Mildner, Toralf; Schlumm, Torsten; Crockford, Catherine; Wittig, Roman M.; Jäger, Carsten; Morawski, Markus; Möller, Harald E.; Friederici, Angela D.; Anwander, Alfred

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Sensitivity gain from multi-echo acquisitions in ex-vivo diffusion imaging: Numerical simulations and experimental verification

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Eichner, Cornelius
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Paquette, Michael
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Mildner, Toralf
Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Schlumm, Torsten
Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Crockford, Catherine
Department of Human Behavior Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Max Planck Society;

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Wittig, Roman M.
Department of Human Behavior Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Max Planck Society;

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Jäger, Carsten
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Morawski, Markus
Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Möller, Harald E.
Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Friederici, Angela D.
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Anwander, Alfred
Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Citation

Eichner, C., Paquette, M., Mildner, T., Schlumm, T., Crockford, C., Wittig, R. M., et al. (2020). Sensitivity gain from multi-echo acquisitions in ex-vivo diffusion imaging: Numerical simulations and experimental verification. In Proceedings of the 28th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM).

Cite as: https://hdl.handle.net/21.11116/0000-0006-D4B1-2

Abstract

Ex-vivo dMRI acquisitions achieve very high resolutions from increased SNR at the cost of prolonged scan times. Due to highly-segmented acquisition strategies, the ex-vivo dMRI signal is often not fully decayed when signal encoding progresses. Using numerical simulations and real-dMRI data from a wild chimpanzee, we show that this circumstance can be effectively employed using an optimized noise informed combination of multi-echo acquisitions from segmented EPI trains. The additional sampling comes at a small price and leads to increased SNR and a general reduction of signal bias.