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Code and Demo for high-dimensionality patch-based denoising (PROST and HD-PROST)

This demo file uses the Bustin_denoising_patch_mex_v4 package

Author: Aurelien Bustin (aurelien.bustin@ihu-liryc.fr) IHU LIRYC, May 2021

People who contributed to this code:

  • Thomas Kuestner (University Hospital of Tübingen, Tübingen, Germany)
  • Claudia Prieto (KCL, London, UK)
  • René Botnar (KCL, London, UK)
  • Gastao Cruz (KCL, London, UK)
  • Olivier Jaubert (UCL, London, UK)
  • Freddy Odille (IADI, Nancy, France)

Papers using this code:

| 1) Bustin A, Ginami G, Cruz G, Correia T, Ismail TF, Rashid I, Neji R, Botnar RM, Prieto C
| Five-Minute Whole-Heart Coronary MRA with Sub-millimeter Isotropic Resolution,
| 100% Respiratory Scan Efficiency and 3D-PROST Reconstruction.
| Magnetic Resonance in Medicine, 2019, 81(1):102-115, DOI: 10.1002/mrm.27354

| 2) A. Bustin et al.,
| High-Dimensionality Undersampled Patch-Based Reconstruction (HD-PROST)
| for Accelerated Multi-Contrast Magnetic Resonance Imaging.
| Magnetic Resonance in Medicine, 2019, 81(6):3705-3719, DOI: 10.1002/mrm.27694

| 3) Bustin A, Milotta G, Ismail TF, Neji R, Botnar RM, Prieto C
| Accelerated free-breathing whole-heart 3D T2 mapping with high isotropic
| resolution.
| Magnetic Resonance in Medicine, 2020, 83(3):988-1002, DOI: 10.1002/mrm.27989

This demo will help you denoise different types of images:

  1. Real-valued single-contrast 2D image
  2. Real-valued multi-contrast 2D images
  3. Complex-valued multi-contrast 2D MRI (MR fingerprinting images)

The code requires the installation of the GSL library (See INSTALL_GSL file)

Magnetic Resonance Fingerprinting image denoising

Multi-contrast image denoising

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High-dimensionality patch-based denoising code

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