Research output: Contribution to journal › Review article › peer-review
Matteo Bastiani, Jesper Andersson, Lucilio Cordero-Grande, Maria Murgasova, Jana Hutter, Anthony N Price, Antonios Makropoulos, Sean P Fitzgibbon, Emer Hughes, Daniel Rueckert, Suresh Victor, Mary Rutherford, A David Edwards, Steve Smith, Jacques-Donald Tournier, Joseph V Hajnal, Saad Jbabdi, Stamatios N Sotiropoulos
Original language | English |
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Journal | NeuroImage |
Early online date | 28 May 2018 |
DOIs | |
Accepted/In press | 26 May 2018 |
E-pub ahead of print | 28 May 2018 |
Additional links |
Automated processing pipeline for_BASTIANI_Firstonline28May2018_GOLD CP (CC BY)
Automated_processing_pipeline_for_BASTIANI_Firstonline28May2018_GOLD_CP_CC_BY_.pdf, 6.3 MB, application/pdf
Uploaded date:15 Jun 2018
Version:Proof
Licence:CC BY
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.
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