SyneRBI - Synergistic Reconstruction for Biomedical Imaging
Published June 13, 2021 | Version v1
Dataset Open

NIfTI data files

Authors/Creators

  • 1. University College London

Contributors

  • 1. UCL
  • 2. CSIRO

Description

NIfTI files to support the SIRF Exercises regarding Geometry.

Data from static phantoms in MRI and a PET/MR phantom - see readme file.

Files

nifti.zip

Files (46.3 MB)

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md5:3e5dec4c385e40835f5927c4179d49fc
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Additional details

Funding

UK Research and Innovation
Application of inverse problems and modelling to the correction of artefacts in prostate diffusion MRI NS/A000033/1
UK Research and Innovation
CCP in Synergistic Reconstruction for Biomedical Imaging EP/T026693/1