MRI processing toolkit.
Project description
MRI-Toolkit
MRI-toolkit provides a set of features dedicated to human MRI data post-processing and analysis. The implementation is based on gMRI2FEM.
Installation
pip install mritk
Documentation
The documentation is available at https://scientificcomputing.github.io/mri-toolkit/. It includes detailed usage instructions, API references, and examples.
Quick Start
To get started with mri-toolkit, you can use the command-line interface (CLI) to inspect and analyze your MRI data.
Features
- File Inspection: detailed NIfTI header analysis (affine, voxel size, shape).
- Statistics: Compute comprehensive statistics (volume, mean, median, std, percentiles) for MRI regions based on segmentation maps.
- Visualization:
- Terminal: View orthogonal slices (Sagittal, Coronal, Axial) directly in your console.
- Napari: Launch the Napari viewer for interactive 3D inspection.
- Data Management: Utilities to download test datasets.
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