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📦 monalisa_tutorial_ui

User-interface-based educational tutorial pipeline for MONALISA non-Cartesian MRI reconstruction.

This repository provides a structured, step-by-step workflow for:

  • Coil sensitivity estimation
  • Data preparation (Mitosius wrapping)
  • Gridded reconstruction
  • Optional compressed sensing reconstruction

It is designed for:

  • 🎓 New lab members
  • 🧠 Researchers learning MONALISA
  • 🧪 Educational demonstrations
  • 🔬 Rapid reconstruction testing

🔗 Official MONALISA Documentation

This repository is built on top of MONALISA.

📘 Full documentation:
👉 https://mattechlab.github.io/monalisa/

Please refer to the official documentation for:

  • API reference
  • Theory and algorithms
  • Advanced configuration
  • Supported data formats
  • Reconstruction backends

This repository focuses on guided usage via UI, not core framework development.

🚀 Quick Start

1️⃣ Install Dependencies

  • MONALISA
  • Pulseq
  • mapVBVD

Example:

addpath(genpath('/path/to/monalisa'));
addpath(genpath('/path/to/pulseq'));
addpath(genpath('/path/to/mapVBVD'));

2️⃣ Run the Educational Pipeline

run main_script.m

The script will guide you through:

1.	Optional RMS data inspection

2.	Coil sensitivity estimation

3.	Saving coil maps

4.	Mitosius preparation

5.	Final reconstruction (gridded or CS)