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

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.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0004-52B5-3 Version Permalink: https://hdl.handle.net/21.11116/0000-0006-FF8A-0
Genre: Journal Article

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 Creators:
Papazoglou, Sebastian1, Author
Streubel, Tobias1, 2, Author           
Ashtarayeh, Mohammad1, Author
Pine, Kerrin2, Author           
Edwards, Luke2, Author           
Brammerloh, Malte2, Author           
Kirilina, Evgeniya2, Author           
Morawski, Markus3, Author           
Jäger, Carsten2, Author           
Geyer, Stefan2, Author           
Callaghan, Martina F.4, Author
Weiskopf, Nikolaus2, Author           
Mohammadi, Siawoosh1, 2, Author           
Affiliations:
1Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Germany, ou_persistent22              
2Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
3Paul Flechsig Institute for Brain Research, University of Leipzig, Germany, ou_persistent22              
4Wellcome Trust Centre for Neuroimaging, Institute of Neurology, University College London, United Kingdom, ou_persistent22              

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Free keywords: Anisotropy; Apparent transverse relaxation rate; Biophysical signal model; R∗2; Gradient‐recalled echo; Orientation dependence; White matter
 Abstract: 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.

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Language(s): eng - English
 Dates: 2019-05-032019-03-052019-05-252019-07-102019-11
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1002/mrm.27863
Other: Epub ahead of print
PMID: 31293007
 Degree: -

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Project name : Computational Connectomics / SPP 2041
Grant ID : AL 1156/2‐1 ; GE 2967/1‐1 ; MO 2397/5‐1 ; MO 2249/3–1
Funding program : -
Funding organization : German Research Foundation (DFG)
Project name : -
Grant ID : MO 2397/4-1
Funding program : DFG Emmy Noether Stipend
Funding organization : German Research Foundation (DFG)
Project name : -
Grant ID : 01fmthh2017
Funding program : -
Funding organization : Forschungszentrum für Medizintechnik Hamburg (fmthh)
Project name : Entschlüsselung der pathophysiologischen Prozesse induziert durch eine Querschnittlähmung: Anwendung von MRT basierter in vivo und ex vivo Histologie / hMRIofSCI
Grant ID : 01EW1711A ; 01EW1711B
Funding program : ERA-NET NEURON
Funding organization : German Federal Ministry of Education and Research (BMBF)
Project name : Non-Invasive In-Vivo Histology in Health and Disease Using Magnetic Resonance Imaging (MRI) / HMRI
Grant ID : 616905
Funding program : Funding Programme 7
Funding organization : European Commission (EC)
Project name : Antibodies against Nogo-A to enhance plasticity, regeneration and functional recovery after acute spinal cord injury, a multicenter European clinical proof of concept trial / NISCI
Grant ID : 681094
Funding program : Horizon 2020
Funding organization : European Commission (EC)
Project name : -
Grant ID : 15.0137
Funding program : -
Funding organization : Swiss State Secretariat for Education, Research and Innovation (SERI)
Project name : -
Grant ID : -
Funding program : -
Funding organization : International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity (IMPRS NeuroCom)
Project name : ERA-NET NEURON
Grant ID : MR/R000050/1
Funding program : -
Funding organization : Medical Research Council (MRC)
Project name : -
Grant ID : 203147/Z/16/Z
Funding program : -
Funding organization : Wellcome Trust

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Title: Magnetic Resonance in Medicine
Source Genre: Journal
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Publ. Info: New York : Wiley-Liss
Pages: - Volume / Issue: 82 (5) Sequence Number: - Start / End Page: 1804 - 1811 Identifier: ISSN: 0740-3194
CoNE: https://pure.mpg.de/cone/journals/resource/954925538149