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Journal of Medical Imaging • Open Access

Robust preprocessing for stimulus-based functional MRI of the moving fetus
Author(s): Wonsang You; Iordanis E. Evangelou; Zungho Zun; Nickie Andescavage; Catherine Limperopoulos

Paper 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.

Paper Details

Date Published: 5 April 2016
PDF: 13 pages
J. Med. Img. 3(2) 026001 doi: 10.1117/1.JMI.3.2.026001
Published in: Journal of Medical Imaging Volume 3, Issue 2
Show Author Affiliations
Wonsang You, Children's National Medical Ctr. (United States)
Iordanis E. Evangelou, Children's National Medical Ctr. (United States)
The George Washington Univ. (United States)
Zungho Zun, Children's National Medical Ctr. (United States)
Nickie Andescavage, Children's National Medical Ctr. (United States)
The George Washington Univ. (United States)
Catherine Limperopoulos, Children's National Medical Ctr. (United States)
The George Washington Univ. (United States)
(United States)


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