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Biophysically motivated efficient estimation of the spatially isotropic R∗2 component from a single gradient-recalled echo measurement

MPG-Autoren
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Streubel,  Tobias
Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Germany;
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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

/persons/resource/persons189347

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

/persons/resource/persons227171

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

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Kirilina,  Evgeniya
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, 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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Geyer,  Stefan
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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

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Mohammadi,  Siawoosh
Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Germany;
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Papazoglou_2019.pdf
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Papazoglou_2019_Suppl.pdf
(Ergänzendes Material), 411KB

Zitation

Papazoglou, S., Streubel, T., Ashtarayeh, M., Pine, K., Edwards, L., Brammerloh, M., et al. (2019). Biophysically motivated efficient estimation of the spatially isotropic R∗2 component from a single gradient-recalled echo measurement. Magnetic Resonance in Medicine, 82(5), 1804-1811. doi:10.1002/mrm.27863.


Zitierlink: https://hdl.handle.net/21.11116/0000-0004-52B5-3
Zusammenfassung
Purpose

To propose and validate an efficient method, based on a biophysically motivated signal model, for removing the orientation‐dependent part of R∗2 using a single gradient‐recalled echo (GRE) measurement.
Methods

The proposed method utilized a temporal second‐order approximation of the hollow‐cylinder‐fiber model, in which the parameter describing the linear signal decay corresponded to the orientation‐independent part of R∗2. The estimated parameters were compared to the classical, mono‐exponential decay model for R∗2 in a sample of an ex vivo human optic chiasm (OC). The OC was measured at 16 distinct orientations relative to the external magnetic field using GRE at 7T. To show that the proposed signal model can remove the orientation dependence of R∗2, it was compared to the established phenomenological method for separating R∗2 into orientation‐dependent and ‐independent parts.
Results

Using the phenomenological method on the classical signal model, the well‐known separation of R∗2 into orientation‐dependent and ‐independent parts was verified. For the proposed model, no significant orientation dependence in the linear signal decay parameter was observed.
Conclusions

Since the proposed second‐order model features orientation‐dependent and ‐independent components at distinct temporal orders, it can be used to remove the orientation dependence of R∗2 using only a single GRE measurement.