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

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).

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 Creators:
Eichner, Cornelius1, Author           
Paquette, Michael1, Author           
Mildner, Toralf2, Author           
Schlumm, Torsten2, Author           
Crockford, Catherine3, Author           
Wittig, Roman M.3, Author           
Jäger, Carsten4, Author           
Morawski, Markus5, Author           
Möller, Harald E.2, Author                 
Friederici, Angela D.1, Author           
Anwander, Alfred1, Author           
Affiliations:
1Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
2Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634558              
3Department of Human Behavior Ecology and Culture, Max Planck Institute for Evolutionary Anthropology, Max Planck Society, ou_2173689              
4Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
5Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              

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 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.

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 Dates: 2020-08-08
 Publication Status: Published online
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Title: Proceedings of the 28th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM)
Source Genre: Proceedings
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Pages: - Volume / Issue: 28 Sequence Number: 4499 Start / End Page: - Identifier: -