An in vivo validation dataset for dynamic volumetric MRI

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Authors: Max H. C. van Riel, David Heesterbeek, Martijn Froeling, Cornelis A. T. van den Berg, Alessandro Sbrizzi
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Abstract

This dataset contains the data described in the article "An in vivo validation dataset for dynamic volumetric MRI" (currently under review). For each volunteer, the following files are provided: anatomy.nii.gz: High-resolution fully sampled anatomical reference image outphase.nii.gz: Out-of-phase image from the DIXON scan segmentation.nii.gz: Muscle segmentation masks as determined from the out-of-phase image; each voxel is assigned an integer - corresponding to a certain segmentation label segmentation.txt: Label descriptions of the segmentation masks validation.mrd: Fully sampled multichannel k-space data for each of the nine pressure levels hybrid.mrd: Multichannel k-space data for the hybrid dynamic and validation scan dynamic1.mrd, ..., dynamic4.mrd: Undersampled multichannel k-space data for the four dynamic scans: dynamic1.mrd: Six consecutive repetitions of the pressure cycle at 35-second intervals dynamic2.mrd: A single pressure cycle with an isometric knee flexion dynamic3.mrd: A single pressure cycle with rotated pressure cuff dynamic4.mrd: A single pressure cycle with rotated pressure cuff and an isometric knee flexion Each .mrd file is a HDF5 file that contains the raw k-space and noise data in MRD format in /dataset/data, the MRD header in /dataset/xml, and the coil sensitivity maps in /csm. The Matlab script example_recon.m shows how the k-space data can be loaded and reconstructed into an image.

Fields of Study & Subjects

Advanced MRI Techniques and Applications Medical Image Segmentation Techniques MRI in cancer diagnosis

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
9 February 2026
Document type
Dataset