MRI Weighted Images Simulator

Description

This project implements a Python-based desktop application using PyQt that simulates T1-weighted (T1W) and T2-weighted (T2W) MRI images from proton density (PD) images. The application enables users to experiment with imaging parameters to achieve optimal results, addressing challenges such as noise reduction and tissue segmentation. For detailed information about the underlying pipeline, please refer to the Pipeline section.

Note

For comprehensive information about the application's features and usage, please refer to the documentation. (Still under reconstruction)

Quick Preview

Pipeline

Installation and Execution

1. Prerequisites
   Ensure Python (version 3.8 to 3.11) is installed on your system. Download it from python.org.

2. Set Up Virtual Environment

   • Linux/MacOS:

     python3 -m venv mri_simulator_env
     source mri_simulator_env/bin/activate

   • Windows:

     python -m venv mri_simulator_env
     .\mri_simulator_env\Scripts\activate

3. Install Dependencies Navigate to the project directory and run:

   pip install -r requirements.txt

4. Setup Application Move the app folder into your virtual environment directory.

5. Launch Application Run the main script:

   python app\main.py

Contributors

Our gratitude to our wonderful team ❤️

Kareem Noureddine	Habiba Sroor	Luna Eyad	Mohamed Moselhi

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This project is licensed under the MIT License. See the LICENSE file for more details.