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

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HAITCH: A framework for distortion and motion correction in fetal multi-shell diffusion-weighted MRI.

Haykel Snoussi¹, Davood Karimi¹, Onur Afacan¹

¹Department of Radiology, Boston Children's Hospital, and Harvard Medical School, Boston, MA, United States.

Imaging Neuroscience (Cambridge, Mass.)

|August 13, 2025

Summary

This study introduces HAITCH, a novel tool for correcting artifacts in fetal diffusion MRI (dMRI) data. HAITCH enhances the quality and reliability of fetal brain microstructure analysis, even with significant motion.

Keywords:

diffusion MRI dynamic distortion correction fetal imaging motion correction multi-shell

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Last Updated: May 6, 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

Diffusion Imaging in the Rat Cervical Spinal Cord

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

Area of Science:

Neuroimaging
Biomedical Engineering
Developmental Neuroscience

Background:

Fetal motion and magnetic field inhomogeneities introduce artifacts in diffusion MRI (dMRI).
These artifacts compromise data quality and reliability in high-angular resolution fetal dMRI.
Existing tools cannot effectively process multi-shell high-angular resolution fetal dMRI data.

Purpose of the Study:

To present High Angular resolution diffusion Imaging reconsTruction and Correction approacH (HAITCH), a tool for correcting and reconstructing fetal dMRI data.
To address the limitations of existing methods in handling motion-induced artifacts in fetal dMRI.
To improve the fidelity and reliability of fetal dMRI analysis for microstructure and tractography.

Main Methods:

Developed HAITCH, an open-source framework for fetal dMRI data processing.
Incorporated blip-reversed dual-echo acquisition for dynamic distortion correction.
Implemented advanced model-free motion correction and outlier detection for robust reconstruction.
Optimized multi-shell design for enhanced information capture and motion tolerance.

Main Results:

HAITCH successfully corrects artifacts and reconstructs high-fidelity fetal dMRI data.
Demonstrated significant improvements in data quality across diverse fetal ages and motion levels.
Validated HAITCH's effectiveness on real fetal dMRI scans, outperforming existing tools.

Conclusions:

HAITCH is the first publicly available tool for correcting and reconstructing multi-shell high-angular resolution fetal dMRI data.
The framework enables reliable advanced diffusion modeling, including fiber orientation distribution function estimation.
HAITCH facilitates more accurate analysis of fetal brain microstructure and tractography under challenging conditions.