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QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data
Matthew Cieslak1, Philip A Cook2, Xiaosong He2
1University of Pennsylvania, Philadelphia, PA, USA. matthew.cieslak@pennmedicine.upenn.edu.
Nature Methods
|June 22, 2021
Summary
QSIPrep is a new software platform that processes diffusion MRI images to study brain white matter organization. It supports various imaging techniques and promotes best practices for data analysis.
Area of Science:
- Neuroimaging
- Computational Neuroscience
- Biomedical Engineering
Background:
- Diffusion-weighted magnetic resonance imaging (dMRI) is crucial for noninvasively examining human brain white matter organization.
- Existing dMRI processing workflows can be complex and may not accommodate diverse acquisition protocols.
Purpose of the Study:
- Introduce QSIPrep, an integrated software platform for dMRI data processing.
- Enhance the accessibility and standardization of dMRI data analysis.
- Facilitate the implementation of best practices in dMRI data processing.
Main Methods:
- Developed QSIPrep as a versatile software platform for dMRI image processing.
- Ensured compatibility with a wide range of dMRI sampling schemes.
- Integrated multiple established software suites to leverage their respective strengths.
Main Results:
- QSIPrep provides a unified approach to processing dMRI data.
- The platform supports diverse dMRI acquisition parameters.
- Facilitates reproducible and standardized dMRI data analysis.
Conclusions:
- QSIPrep offers a robust and adaptable solution for dMRI data processing.
- The platform promotes the adoption of best practices in the field.
- Aims to advance the study of white matter organization using dMRI.
