Open Access
5 April 2016 Robust preprocessing for stimulus-based functional MRI of the moving fetus
Wonsang You, Iordanis E. Evangelou, Zungho Zun, Nickie Andescavage, Catherine Limperopoulos
Author Affiliations +
Abstract
Fetal motion manifests as signal degradation and image artifact in the acquired time series of blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) studies. We present a robust preprocessing pipeline to specifically address fetal and placental motion-induced artifacts in stimulus-based fMRI with slowly cycled block design in the living fetus. In the proposed pipeline, motion correction is optimized to the experimental paradigm, and it is performed separately in each phase as well as in each region of interest (ROI), recognizing that each phase and organ experiences different types of motion. To obtain the averaged BOLD signals for each ROI, both misaligned volumes and noisy voxels are automatically detected and excluded, and the missing data are then imputed by statistical estimation based on local polynomial smoothing. Our experimental results demonstrate that the proposed pipeline was effective in mitigating the motion-induced artifacts in stimulus-based fMRI data of the fetal brain and placenta.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Wonsang You, Iordanis E. Evangelou, Zungho Zun, Nickie Andescavage, and Catherine Limperopoulos "Robust preprocessing for stimulus-based functional MRI of the moving fetus," Journal of Medical Imaging 3(2), 026001 (5 April 2016). https://doi.org/10.1117/1.JMI.3.2.026001
Published: 5 April 2016
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CITATIONS
Cited by 19 scholarly publications.
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KEYWORDS
Fetus

Brain

Functional magnetic resonance imaging

Image registration

Magnetic resonance imaging

Hyperoxia

Neuroimaging

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