Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project

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Title: Automated processing pipeline for neonatal diffusion MRI in the developing Human Connectome Project
Authors: Bastiani, M
Andersson, JLR
Cordero-Grande, L
Murgasova, M
Hutter, J
Price, AN
Makropoulos, A
Fitzgibbon, SP
Hughes, E
Rueckert, D
Victor, S
Rutherford, M
Edwards, AD
Smith, SM
Tournier, J-D
Hajnal, JV
Jbabdi, S
Sotiropoulos, SN
Item Type: Journal Article
Abstract: The developing Human Connectome Project is set to create and make available to the scientific community a 4-dimensional map of functional and structural cerebral connectivity from 20 to 44 weeks post-menstrual age, to allow exploration of the genetic and environmental influences on brain development, and the relation between connectivity and neurocognitive function. A large set of multi-modal MRI data from fetuses and newborn infants is currently being acquired, along with genetic, clinical and developmental information. In this overview, we describe the neonatal diffusion MRI (dMRI) image processing pipeline and the structural connectivity aspect of the project. Neonatal dMRI data poses specific challenges, and standard analysis techniques used for adult data are not directly applicable. We have developed a processing pipeline that deals directly with neonatal-specific issues, such as severe motion and motion-related artefacts, small brain sizes, high brain water content and reduced anisotropy. This pipeline allows automated analysis of in-vivo dMRI data, probes tissue microstructure, reconstructs a number of major white matter tracts, and includes an automated quality control framework that identifies processing issues or inconsistencies. We here describe the pipeline and present an exemplar analysis of data from 140 infants imaged at 38-44 weeks post-menstrual age.
Issue Date: 15-Jan-2019
Date of Acceptance: 26-May-2018
URI: http://hdl.handle.net/10044/1/60368
DOI: https://doi.org/10.1016/j.neuroimage.2018.05.064
ISSN: 1053-8119
Publisher: Elsevier
Start Page: 750
End Page: 763
Journal / Book Title: NeuroImage
Volume: 185
Copyright Statement: © 2018 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: 319456
Keywords: Science & Technology
Life Sciences & Biomedicine
Neurosciences
Neuroimaging
Radiology, Nuclear Medicine & Medical Imaging
Neurosciences & Neurology
Diffusion MRI
Tractography
Quality control
Brain
Connectome
Newborn
ASSESSING WHITE-MATTER
ECHO-PLANAR IMAGES
MOTION CORRECTION
HUMAN FETAL
ORIENTATION DISPERSION
DISTORTION CORRECTION
TENSOR MRI
BRAIN
TRACTOGRAPHY
CONNECTIVITY
Brain
Connectome
Diffusion MRI
Newborn
Quality control
Tractography
Brain
Connectome
Diffusion Magnetic Resonance Imaging
Female
Humans
Image Processing, Computer-Assisted
Infant, Newborn
Male
Brain
Humans
Diffusion Magnetic Resonance Imaging
Image Processing, Computer-Assisted
Infant, Newborn
Female
Male
Connectome
Brain
Connectome
Diffusion MRI
Newborn
Quality control
Tractography
Neurology & Neurosurgery
11 Medical and Health Sciences
17 Psychology and Cognitive Sciences
Publication Status: Published
Conference Place: United States
Online Publication Date: 2018-05-28
Appears in Collections:Faculty of Engineering
Computing



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