HAITCH: A Framework for Distortion and Motion Correction in Fetal Multi-Shell Diffusion-Weighted MRI
Haykel Snoussi, Davood Karimi, Onur Afacan, Mustafa Utkur, Ali, Gholipour

TL;DR
HAITCH is a novel open-source framework that significantly improves artifact correction and reconstruction in fetal multi-shell diffusion MRI, enabling more reliable brain microstructure analysis despite fetal motion and low signal-to-noise ratios.
Contribution
This work introduces HAITCH, the first comprehensive tool for distortion and motion correction in high-angular resolution fetal dMRI, incorporating advanced acquisition and processing techniques.
Findings
Demonstrates significant artifact removal in fetal dMRI scans.
Enables accurate diffusion modeling and fiber orientation estimation.
Effective across diverse fetal ages and motion levels.
Abstract
Diffusion magnetic resonance imaging (dMRI) is pivotal for probing the microstructure of the rapidly-developing fetal brain. However, fetal motion during scans and its interaction with magnetic field inhomogeneities result in artifacts and data scattering across spatial and angular domains. The effects of those artifacts are more pronounced in high-angular resolution fetal dMRI, where signal-to-noise ratio is very low. Those effects lead to biased estimates and compromise the consistency and reliability of dMRI analysis. This work presents HAITCH, the first and the only publicly available tool to correct and reconstruct multi-shell high-angular resolution fetal dMRI data. HAITCH offers several technical advances that include a blip-reversed dual-echo acquisition for dynamic distortion correction, advanced motion correction for model-free and robust reconstruction, optimized multi-shell…
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Taxonomy
MethodsDiffusion
