wwu-mmll/deepmriprep
Neural network-based MRI preprocessing: Prep 🧠images in seconds 🔥
This tool helps researchers and clinicians quickly prepare T1-weighted MRI scans for detailed brain analysis, specifically for Voxel-based Morphometry (VBM) and Region-based Morphometry (RBM). You input raw T1w MRI images, and it outputs preprocessed data, including brain-extracted images, tissue segmentation maps, and structural volumes, all processed in about 10 seconds on a GPU. It's designed for neuroscientists, radiologists, and anyone analyzing brain structure from MRI data.
Available on PyPI.
Use this if you need fast, automated preprocessing of T1-weighted MRI images to analyze brain volume, tissue segmentation, or region-based morphometry for research or clinical studies.
Not ideal if you require specialized fMRIPrep or sMRIPrep preprocessing pipelines, as this tool is a distinct, neural network-based solution.
Stars
56
Forks
3
Language
Python
License
MIT
Category
Last pushed
Nov 28, 2025
Commits (30d)
0
Dependencies
5
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