Published December 11, 2019 | Version 1.0.1
Dataset Open

SpatialCalibration MR 2D Sagittal

Creators

  • 1. University College London

Contributors

Project leader:

  • 1. University College London
  • 2. CSIRO

Description

Included are:

  • vendor-reconstructed DICOM images in NIfTI format (dicom_as_nifti.nii)
  • the scanner raw MR data (meas_MID00749_FID151779_t2_tse_sag.dat)
  • the raw MR data in h5 format, converted using siemens_to_ismrmrd (meas_MID00749_FID151779_t2_tse_sag.h5)
  • the MR data reconstructed with SIRF in .h5 format (SIRF_recon.h5)
  • the MR data reconstructed with SIRF that has been converted to NIfTI format (SIRF_recon.nii)
  • the script used to generate the data (SIRF_recon.sh)

Notes

Extra funding grant: EPSRC, Research Councils (UK) - EP/M022587/1.

Files

Files (299.6 MB)

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md5:c5f5b519e5c032560ead912713479b53
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md5:ad53194707006e6a8147464f5f2daa18
107.5 MB Download
md5:0b19db8c2c5047381b82e161de5e5639
110.9 MB Download
md5:0d69892502d3a5cd220716a717cc2c26
32.5 MB Download
md5:56bba74d28e8edb5048b4a54977f5b1a
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Additional details

Funding

A framework for efficient synergistic spatiotemporal reconstruction of PET-MR dynamic data EP/P022200/1
UK Research and Innovation