https://github.com/atrotier/ismrm_rrsg_julia

Julia implementation of the ISMRM RRSG challenge
https://github.com/atrotier/ismrm_rrsg_julia

julia mri mri-reconstruction pluto

Last synced: 7 months ago
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Julia implementation of the ISMRM RRSG challenge

• Host: GitHub
• URL: https://github.com/atrotier/ismrm_rrsg_julia
• Owner: aTrotier
• Created: 2022-01-13T12:08:20.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2022-01-20T14:08:06.000Z (over 3 years ago)
• Last Synced: 2025-01-17T04:48:04.525Z (9 months ago)
• Topics: julia, mri, mri-reconstruction, pluto
• Language: Julia
• Homepage: http://atrotier.github.io/ISMRM_RRSG_JULIA/
• Size: 9.57 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# ISMRM 2019 Reproducible research study group challenge

HTML pages : https://atrotier.github.io/ISMRM_RRSG_JULIA/Julia_CG-sense.html generated with the [static-export-template workflow for Pluto](https://github.com/JuliaPluto/static-export-template)

### Description

Implementation of [ISMRM Reproducibility Challenges](https://ismrm.github.io/rrsg/) using the MRI reconstruction framework [MRIReco.jl](https://travis-ci.org/github/MagneticResonanceImaging/MRIReco.jl). 

This implentation uses low-level function of multiple packages and implement the conjugate gradient algorithm in a plain text function. The implementation is done in a [Pluto Notebook](https://github.com/fonsp/Pluto.jl).

### Challenge 1

Goal of [challenge 1](https://blog.ismrm.org/2019/04/02/ismrm-reproducible-research-study-group-2019-reproduce-a-seminal-paper-initiative/) is to reproduce the results from the paper [1]. 

#### Results

The following figures show the reconstruction results generated with **Julia_CG-sense.jl**.

In the left figure, Δ denotes the NRMSE between the iterates and the reference reconstruction.

In the right figure, δ denotes the ratio of the cost function at each iteration to the initial cost function.

##### Figure 4 : Error results after 10 iteration

![error](output_figure/Fig4_lambda_0.1 dcf_true.png)

##### Figure 5 : Brain reconstruction after 10 iterations

![brain reconstruction](output_figure/Fig5_lambda_0.1 dcf_true.png)

### References

[1] Pruessmann, K. P.; Weiger, M.; Boernert, P. and Boesiger, P. Advances in sensitivity encoding with arbitrary k-space trajectories. Magn Reson Med 46: 638-651 (2001)

### Contact

Aurélien Trotier [aurelien . trotier (at) rmsb.u-bordeaux . fr]