Example dataset for the hMRI toolbox

Research output: Contribution to journalArticle

Abstract

The hMRI toolbox is an open-source toolbox for the calculation of quantitative MRI parameter maps from a series of weighted imaging data, and optionally additional calibration data. The multi-parameter mapping (MPM) protocol, incorporating calibration data to correct for spatial variation in the scanner’s transmit and receive fields, is the most complete protocol that can be handled by the toolbox. Here we present a dataset acquired with such a full MPM protocol, which is made freely available to be used as a tutorial by following instructions provided on the associated toolbox wiki pages, which can be found at http://hMRI.info, and following the theory described in: hMRI – A toolbox for quantitative MRI in neuroscience and clinical research.

Details

Authors
  • Martina F Callaghan
  • Antoine Lutti
  • John Ashburner
  • Evelyne Balteau
  • Nadége Corbin
  • Bogdan Draganski
  • Gunther Helms
  • Ferath Kherif
  • Tobias Leutritz
  • Siawoosh Mohammadi
  • Christophe Philips
  • Enrico Reimer
  • Lars Ruthotto
  • Maryam Seif
  • Karsten Tabelow
  • Gabriel Ziegler
  • Nikolaus Weiskopf
Organisations
External organisations
  • Weierstraß Institute for Applied Analysis and Stochastics
  • University of Liège
  • Wellcome Trust Centre for Neuroimaging, London
  • Emory University
  • University of Zurich
  • Max Planck Institute for Human Cognitive and Brain Sciences
  • Otto von Guericke University Magdeburg
  • University Medical Center Hamburg-Eppendorf
  • University of Lausanne
  • Lausanne University Hospital
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Radiology, Nuclear Medicine and Medical Imaging
Original languageEnglish
Article number104132
JournalData in Brief
Publication statusPublished - 2019
Publication categoryResearch
Peer-reviewedYes

Related projects

Gunther Helms

2017/01/02 → …

Project: Network

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