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ACID: A comprehensive toolbox for image processing and modeling of brain, spinal cord, and ex vivo diffusion MRI data
Gergely David1,2, Björn Fricke1,3, Jan Malte Oeschger1,3
1Department of Systems Neuroscience, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Imaging Neuroscience (Cambridge, Mass.)
|August 13, 2025
Summary
A new open-source software toolkit, ACID, processes diffusion MRI data for brain, spinal cord, and ex vivo studies. It offers advanced artifact correction, tensor imaging, and biophysical modeling for microstructural analysis.
Area of Science:
- Neuroimaging
- Biophysics
Background:
- Diffusion MRI (dMRI) is vital in neuroscience, with increasing applications for the spinal cord.
- Biophysical models require ex vivo dMRI validation for microstructural insights.
Purpose of the Study:
- Introduce ACID, a comprehensive, open-source MATLAB toolbox for processing and modeling dMRI data.
- Extend the Statistical Parametric Mapping (SPM) software for brain, spinal cord, and ex vivo dMRI analysis.
Main Methods:
- ACID incorporates advanced artifact correction, diffusion/kurtosis tensor imaging, and biophysical models.
- Includes linear and nonlinear fitting algorithms for precise diffusion parameter estimation.
- Adheres to Brain Imaging Data Structure (BIDS) for standardized, compatible analysis.
Main Results:
- ACID provides a complete processing pipeline from raw DICOM to group-level statistics.
- Leverages SPM integration for segmentation, spatial processing, and statistical analysis.
Conclusions:
- ACID offers a unified, extensible platform for dMRI analysis across diverse applications.
- Facilitates standardized, reproducible research in neuroscience and clinical dMRI studies.
