MR Optimum is an advanced tool for computing, and analyzing MRI signal-to-noise ratio (SNR) across various reconstruction methods. This repository contains the source code for the web-based graphical user interface (WebGUI)
The WebGUI is designed for researchers and clinicians to:
- Configure and run SNR calculations.
- Upload and manage datasets.
- Visualize and analyze results.
- Select SNR calculation methods:
- Array Combining (AC)
- Multiple Replicas
- Pseudo Multiple Replicas
- Pseudo multiple Replicas Wien version
- Seleect reconstruciton methods:
- Root Sum of Squares (RSS)
- B1
- SENSE
- GRAPPA
- Monitor queued job statuses.
- Access previously computed results.
- Visualize and analyze results:
- ROI selection.
- Histogram visualizzation.
- Exporting figures and data.
- Draw regions of interest (ROIs).
- Extract and export pixel-wise SNR values and statistics.
The frontend is built with:
- React.js: Core framework for UI development.
- Material-UI: For modern, responsive components.
- Redux: State management for seamless user interaction.
- Axios: For API communication with the backend (Managing System).
Additional dependencies are included to support interactive plots and file uploads.
- Node.js: Version 16+
- yarn: For managing dependencies
- Clone the repository:
git clone https://github.com/your-organization/mr-optimum-frontend.git cd mr-optimum-frontend
- Install dependencies
yarn install
- Run
yarn start
Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.
- Log in with your credentials.
- Navigate to the Settings tab.
- Configure the desired SNR calculation method and upload data.
- Submit the job to the queue.
- Go to the Results tab.
- Check the status of ongoing computations.
- Load completed jobs for visualization and analysis.
This project is licensed under the MIT License.
For detailed information on the theory behind MR Optimum and its computation methods, see:
- Montin E., Lattanzi R. "Seeking a Widely Adoptable Practical Standard to Estimate Signal-to-Noise Ratio in Magnetic Resonance Imaging for Multiple-Coil Reconstructions". Journal of Magnetic Resonance Imaging, 2021.
- ISMRM 27th Annual Meeting & Exhibition, 11-16 May 2019 Palais des congrès de Montréal, 1001 Place Jean-Paul-Riopelle, Montréal, QC, Canada
Abstract #4617 MR Optimum – A web-based application for signal-to-noise ratio evaluation.
[Dr. Eros Montin, PhD]
(http://me.biodimensional.com)\
46&2 just ahead of me!