Abstract #2095

The hMRI analysis toolbox for quantitative MRI and in vivo histology using MRI (hMRI)

Evelyne Balteau¹, Tobias Leutritz², Antoine Lutti^3,4, Martina F Callaghan⁵, Bogdan Draganski^2,3, Christophe Phillips¹, Enrico Reimer², Lars Ruthotto⁶, Maryam Seif⁷, Nikolaus Weiskopf², Gabriel Ziegler⁸, Siawoosh Mohammadi⁹, and Karsten Tabelow¹⁰

¹University of Liege, Liege, Belgium, ²Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, ³LREN, DNC - CHUV, University Lausanne, Lausanne, Switzerland, ⁴University of Lausanne, Lausanne, Switzerland, ⁵University College London, London, United Kingdom, ⁶Emory University, Atlanta, GA, United States, ⁷University of Zurich, Zurich, Switzerland, ⁸Otto-von-Guericke-University Magdeburg, Magdeburg, Germany, ⁹Medical Center Hamburg-Eppendorf, Hamburg, Germany, ¹⁰Weierstrass Institute for Applied Analysis and Stochastics, Berlin, Germany

Quantitative MRI finds increasing application in neuroscience and clinical research due to its greater specificity and its sensitivity to microstructural properties of brain tissue - myelin, iron and water concentration. We introduce the hMRI toolbox, an easy-to-use open-source tool for data handling and processing of quantitative MRI data. This toolbox, embedded in the SPM framework, allows the estimation of quantitative MRI maps (longitudinal and transverse relaxation rates R₁ and R₂*, 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.

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