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Published June 23, 2020 | Version v2
Dataset Open

Supplementary MRSI Data for "High-Resolution Metabolic Imaging of High-Grade Gliomas using 7T-CRT-FID-MRSI" - NIFTI Format

  • 1. Medical University of Vienna

Description

Intended as supplementary data to the manuscript "High-Resolution Metabolic Imaging of High-Grade Gliomas using 7T-CRT-FID-MRSI"

Authors:
Gilbert Hangel, Cornelius Cadrien, Philipp Lazen, Julia Furtner, Alexandra Lipka, Eva Hečková, Lukas Hingerl, Stanislav Motyka, Stephan Gruber, Bernhard Strasser, Barbara Kiesel, Mario Mischkulnig, Matthias Preusser, Thomas Roetzer, Adelheid Wöhrer, Georg Widhalm, Karl Rössler, Siegfried Trattnig and Wolfgang Bogner

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MRSI Maps from the Vienna 7T scanner in MINC format
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Contact: wolfgang.bogner@meduniwien.ac.at , gilbert.hangel@meduniwien.ac.at
https://hfmr.meduniwien.ac.at/

For use with NIFTI-displaying software.

MRSI method published as Hingerl et al 2020, doi: 10.1097/RLI.0000000000000626

Patient 1:
Glioblastoma WHO Grade 4, with IDH1 mutation, male
Patient 2:
Glioblastoma WHO Grade 4, with IDH1 mutation, male
(Same numbers as in the manuscript)

Files

3D_MRSI_Tumor_Patient_NIFTI_maps.zip

Files (505.7 MB)

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Additional details

Funding

Ultra-short acquisition delay 3D Spectroscopic Imaging P 30701
FWF Austrian Science Fund
3D 2HG mapping as biomarker for IDH-mutation in glioma KLI 646
FWF Austrian Science Fund