Literature DB >> 22713673

Magnetic resonance imaging of the newborn brain: manual segmentation of labelled atlases in term-born and preterm infants.

Ioannis S Gousias1, A David Edwards, Mary A Rutherford, Serena J Counsell, Jo V Hajnal, Daniel Rueckert, Alexander Hammers.   

Abstract

Premature birth is a major and growing problem. Investigations into neuroanatomical correlates and consequences of preterm birth are hampered by complex neonatal brain anatomy and unavailability of atlases and protocols covering the whole brain. We developed delineation protocols for the manual segmentation of cerebral magnetic resonance (MR) images from newborn infants into 50 regions with comprehensive coverage of the brain. We then segmented MR scans from 15 infants born preterm at median 29, range 26-35, weeks postmenstrual age and scanned at term-corrected age, and five term-born infants born at median 41, range 39-45, weeks postmenstrual age. Total and regional brain volumes were estimated in each infant, and regional volumes expressed as a fraction of total brain volume. Total brain volumes were higher with greater age at birth and at time of scan, but once corrected for age at scan there was no difference between preterm and term infants. Fractional age-corrected regional volumes were bigger unilaterally in terms in middle and inferior temporal gyri, anterior temporal lobe, fusiform gyrus and posterior cingulate gyrus. Fractional age-corrected regional volumes were larger in preterms bilaterally in hippocampus, amygdala, thalamus and lateral ventricles, left superior temporal gyrus and right caudate nucleus. These differences were not significant after correcting for multiple hypothesis testing, but suggest subtle differences between preterms and term-borns accessible to regional analysis. Detailed illustrated protocols are made available in the Appendix.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22713673     DOI: 10.1016/j.neuroimage.2012.05.083

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  59 in total

Review 1.  Baby brain atlases.

Authors:  Kenichi Oishi; Linda Chang; Hao Huang
Journal:  Neuroimage       Date:  2018-04-03       Impact factor: 6.556

2.  The developing human connectome project: A minimal processing pipeline for neonatal cortical surface reconstruction.

Authors:  Antonios Makropoulos; Emma C Robinson; Andreas Schuh; Robert Wright; Sean Fitzgibbon; Jelena Bozek; Serena J Counsell; Johannes Steinweg; Katy Vecchiato; Jonathan Passerat-Palmbach; Gregor Lenz; Filippo Mortari; Tencho Tenev; Eugene P Duff; Matteo Bastiani; Lucilio Cordero-Grande; Emer Hughes; Nora Tusor; Jacques-Donald Tournier; Jana Hutter; Anthony N Price; Rui Pedro A G Teixeira; Maria Murgasova; Suresh Victor; Christopher Kelly; Mary A Rutherford; Stephen M Smith; A David Edwards; Joseph V Hajnal; Mark Jenkinson; Daniel Rueckert
Journal:  Neuroimage       Date:  2018-01-31       Impact factor: 6.556

3.  Multiscale Structure-Function Gradients in the Neonatal Connectome.

Authors:  Sara Larivière; Reinder Vos de Wael; Seok-Jun Hong; Casey Paquola; Shahin Tavakol; Alexander J Lowe; Dewi V Schrader; Boris C Bernhardt
Journal:  Cereb Cortex       Date:  2020-01-10       Impact factor: 5.357

Review 4.  Toward the automatic quantification of in utero brain development in 3D structural MRI: A review.

Authors:  Oualid M Benkarim; Gerard Sanroma; Veronika A Zimmer; Emma Muñoz-Moreno; Nadine Hahner; Elisenda Eixarch; Oscar Camara; Miguel Angel González Ballester; Gemma Piella
Journal:  Hum Brain Mapp       Date:  2017-02-14       Impact factor: 5.038

5.  A FreeSurfer-compliant consistent manual segmentation of infant brains spanning the 0-2 year age range.

Authors:  Katyucia de Macedo Rodrigues; Emma Ben-Avi; Danielle D Sliva; Myong-Sun Choe; Marie Drottar; Ruopeng Wang; Bruce Fischl; Patricia E Grant; Lilla Zöllei
Journal:  Front Hum Neurosci       Date:  2015-02-18       Impact factor: 3.169

Review 6.  Computational neuroanatomy of baby brains: A review.

Authors:  Gang Li; Li Wang; Pew-Thian Yap; Fan Wang; Zhengwang Wu; Yu Meng; Pei Dong; Jaeil Kim; Feng Shi; Islem Rekik; Weili Lin; Dinggang Shen
Journal:  Neuroimage       Date:  2018-03-21       Impact factor: 6.556

7.  Association of Maternal Psychological Distress With In Utero Brain Development in Fetuses With Congenital Heart Disease.

Authors:  Yao Wu; Kushal Kapse; Marni Jacobs; Nickie Niforatos-Andescavage; Mary T Donofrio; Anita Krishnan; Gilbert Vezina; David Wessel; Adré du Plessis; Catherine Limperopoulos
Journal:  JAMA Pediatr       Date:  2020-03-02       Impact factor: 16.193

8.  A Multi-Atlas Label Fusion Tool for Neonatal Brain MRI Parcellation and Quantification.

Authors:  Yoshihisa Otsuka; Linda Chang; Yukako Kawasaki; Dan Wu; Can Ceritoglu; Kumiko Oishi; Thomas Ernst; Michael Miller; Susumu Mori; Kenichi Oishi
Journal:  J Neuroimaging       Date:  2019-04-29       Impact factor: 2.486

9.  Concatenated Spatially-localized Random Forests for Hippocampus Labeling in Adult and Infant MR Brain Images.

Authors:  Lichi Zhang; Qian Wang; Yaozong Gao; Guorong Wu; Dinggang Shen
Journal:  Neurocomputing       Date:  2016-06-07       Impact factor: 5.719

10.  Segmenting hippocampus from infant brains by sparse patch matching with deep-learned features.

Authors:  Yanrong Guo; Guorong Wu; Leah A Commander; Stephanie Szary; Valerie Jewells; Weili Lin; Dinggang Shent
Journal:  Med Image Comput Comput Assist Interv       Date:  2014
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