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Meeting Abstract

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

MPG-Autoren
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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;

Externe Ressourcen

http://indexsmart.mirasmart.com/ISMRM2020/PDFfiles/4499.html
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Zitation

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).


Zitierlink: https://hdl.handle.net/21.11116/0000-0006-D4B1-2
Zusammenfassung
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.