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Updated: Jun 13, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

Published on: November 8, 2012

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.

|June 22, 2021

Summary

This summary is machine-generated.

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.

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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.