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  The “hMRI Toolbox” for quantitative imaging & in vivo histology using MRI

Philips, C., Balteau, E., Leutritz, T., Lutti, A., Callaghan, M. F., Draganski, B., et al. (2018). The “hMRI Toolbox” for quantitative imaging & in vivo histology using MRI. Poster presented at 2018 OHBM ANNUAL MEETING, Singapore.

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POSTER_hMRI_HBM2018.pdf (Postprint), 732KB
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POSTER_hMRI_HBM2018.pdf
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http://hdl.handle.net/2268/225361 (Postprint)
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Urheber

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 Urheber:
Philips , Christophe1, Autor
Balteau, Evelyne1, Autor
Leutritz, Tobias2, Autor           
Lutti, Antoine3, Autor
Callaghan, Martina F.4, Autor
Draganski, Bogdan3, Autor           
Reimer, Enrico2, Autor           
Ruthotto, Lars5, Autor
Seif , Maryam6, Autor
Weiskopf, Nikolaus2, Autor           
Ziegler, Gabriel7, Autor
Mohammadi, Siawoosh8, Autor
Tabelow, Karsten9, Autor
Affiliations:
1University of Liège, Belgium, ou_persistent22              
2Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              
3LREN, DNC-CHUV, University Lausanne, Switzerland, ou_persistent22              
4University College London, United Kingdom, ou_persistent22              
5Emory University, Atlanta, GA, ou_persistent22              
6University of Zurich, Switzerland, ou_persistent22              
7Otto-von-Guericke-University Magdeburg, Germany, ou_persistent22              
8Medical Center Hamburg-Eppendorf, Germany, ou_persistent22              
9Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany, ou_persistent22              

Inhalt

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Schlagwörter: magnetic resonance imaging ; quantitative MRI ; neuroscience
 Zusammenfassung: Quantitative magnetic resonance imaging (qMRI) finds increasing application in
neuroscience and clinical research due to its greater specificity and its sensitivity
to microstructural properties of brain tissue, such as myelin, iron and water
concentration. We introduce the “hMRI Toolbox”, an easy-to-use open-source
tool for generating and processing quantitative MRI data. This toolbox is
embedded in the SPM framework, profiting from the high accuracy spatial
registration in common space and the variety of available statistical analyses.
It allows the estimation of quantitative MRI maps, precisely longitudinal
(R 1 =1/T 1 ) and transverse (R 2 *=1/T 2 *) relaxation rates, proton density (PD) and
magnetization transfer (MT), followed by spatial registration in common space
for statistical analysis. It also offers flexibility for calculation of novel MRI
biomarkers of tissue microstructure.
The hMRI toolbox can be downloaded from http://hmri.info.
The Readme.md and Wiki of the Git repository provide :
• reference documentation, including installation instructions,
example dataset, tutorial and detailed description of the
functionalities implemented;
• a link to a pre-print paper describing the hMRI toolbox.

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Sprache(n): eng - English
 Datum: 2018-06-17
 Publikationsstatus: Keine Angabe
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Veranstaltung

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Titel: 2018 OHBM ANNUAL MEETING
Veranstaltungsort: Singapore
Start-/Enddatum: 2018-06-17 - 2018-06-21

Entscheidung

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Projektinformation

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Projektname : Non-Invasive In-Vivo Histology in Health and Disease Using Magnetic Resonance Imaging (MRI) / HMRI
Grant ID : 616905
Förderprogramm : Horizon 2020
Förderorganisation : European Commission (EC)
Projektname : 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
Förderprogramm : Horizon 2020
Förderorganisation : European Commission (EC)
Projektname : -
Grant ID : 15.0137
Förderprogramm : -
Förderorganisation : Swiss State Secretariat for Education, Research and Innovation (SERI)

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