NeuroAccel

GPU-Accelerated Brain Image Processing Pipeline for OpenNeuro Datasets

Overview

NeuroAccel is a high-performance, GPU-accelerated preprocessing and analysis pipeline specifically designed for OpenNeuro datasets. It leverages both CUDA and ROCm to democratize access to fast neuroimaging analysis, making large-scale brain imaging research accessible to institutions of all sizes.

Key Features

• Unified GPU Preprocessing Engine

  • Multi-format support (BIDS, NIfTI, DICOM)
  • Real-time motion correction
  • Parallel slice-timing correction
  • GPU-optimized skull stripping and segmentation
  • Fast spatial normalization

• Distributed Analysis Framework

  • OpenNeuro dataset integration
  • Smart job scheduling
  • Fault-tolerant processing
  • Cloud-native deployment

• Real-time Quality Control

  • GPU-accelerated artifact detection
  • Interactive 3D visualization
  • Automated quality metrics
  • Comprehensive reporting

• Advanced Analytics

  • GPU-optimized ICA
  • Parallel connectivity analysis
  • Statistical mapping
  • Machine learning integration

Installation

# Clone the repository
git clone https://github.com/yourusername/neuroaccel.git
cd neuroaccel

# Create a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# For development
pip install -r requirements-dev.txt

Usage

Basic example of preprocessing a BIDS dataset:

from neuroaccel import Pipeline
from neuroaccel.preprocessing import MotionCorrection, SliceTiming

# Initialize pipeline with GPU settings
pipeline = Pipeline(device='cuda')  # or 'rocm' for AMD GPUs

# Configure preprocessing steps
pipeline.add(MotionCorrection(method='gpu_realign'))
pipeline.add(SliceTiming(parallel=True))

# Run the pipeline
pipeline.run('path/to/bids/dataset')

Documentation

Full documentation is available at docs/.

Contributing

We welcome contributions! Please see our Contributing Guide for details.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Citation

If you use NeuroAccel in your research, please cite:

@software{neuroaccel2025,
  author = {Your Name},
  title = {NeuroAccel: GPU-Accelerated Brain Image Processing Pipeline},
  year = {2025},
  publisher = {GitHub},
  url = {https://github.com/yourusername/neuroaccel}
}

Acknowledgments

• OpenNeuro for providing the neuroimaging datasets
• NVIDIA and AMD for GPU computing support
• The neuroimaging community for valuable feedback and contributions