Meeting Banner
Abstract #2095

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

Evelyne Balteau1, Tobias Leutritz2, Antoine Lutti3,4, Martina F Callaghan5, Bogdan Draganski2,3, 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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here