Tutorial & Guides

SUMMARY

This page contains tutorials and guides to support understanding of the challenge and provide a baseline for data handling and a preliminary reconstruction model. The code to support the challenge will be made available on this GitHub repository

Tutorial Guides

The following videos explain the challenge in greater detail and can be used as a reference to better understand MRS, the editing process and Edited-MRS preprocessing:

The following code tutorials can be used as an example of how to perform the editing process, how to handle MRS data, and as a base model to implement your team's acceleration model.

ISBI Tutorial 1 Edited MRS Preprocessing

eDITED-mrs dATA and preprocessing

This notebook is a step by step guide for the preprocessing of Edited-MRS data, highlighting the data formats at each step (see GitHub repository Edited-MRS-challenge/Tutorials/edited_mrs_tutorial).

simulated spectra generation

This notebook is a step by step explanation of the MRS data format and some of the noises present in MRS data (see GitHub repository Edited-MRS-challenge/Tutorials/noise_adding_tutorial).

ISBI Tutorial 2 Noise Adding

ISBI Tutorial 3 Base Model

aCCELERATED eDITED-mrs MODEL (tENSORFLOW)

This notebook is a baseline reconstruction model built using Tensorflow (see GitHub repository Edited-MRS-challenge/Tutorials/tensorflow_tutorial).

aCCELERATED eDITED-mrs MODEL (PYTORCH)

This notebook is a baseline reconstruction model built using PyTorch (see GitHub repository Edited-MRS-challenge/Tutorials/pytorch_tutorial).

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