Literature DB >> 28195417

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

Oualid M Benkarim1, Gerard Sanroma1, Veronika A Zimmer1, Emma Muñoz-Moreno2,3, Nadine Hahner2, Elisenda Eixarch2, Oscar Camara1, Miguel Angel González Ballester1,4, Gemma Piella1.   

Abstract

Investigating the human brain in utero is important for researchers and clinicians seeking to understand early neurodevelopmental processes. With the advent of fast magnetic resonance imaging (MRI) techniques and the development of motion correction algorithms to obtain high-quality 3D images of the fetal brain, it is now possible to gain more insight into the ongoing maturational processes in the brain. In this article, we present a review of the major building blocks of the pipeline toward performing quantitative analysis of in vivo MRI of the developing brain and its potential applications in clinical settings. The review focuses on T1- and T2-weighted modalities, and covers state of the art methodologies involved in each step of the pipeline, in particular, 3D volume reconstruction, spatio-temporal modeling of the developing brain, segmentation, quantification techniques, and clinical applications. Hum Brain Mapp 38:2772-2787, 2017.
© 2017 Wiley Periodicals, Inc. © 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  fetal brain; growth pattern; gyrification; quantitative MRI; segmentation; spatiotemporal atlas; ventriculomegaly; volumetry

Mesh:

Year:  2017        PMID: 28195417      PMCID: PMC6867074          DOI: 10.1002/hbm.23536

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  97 in total

1.  Constrained Gaussian mixture model framework for automatic segmentation of MR brain images.

Authors:  Hayit Greenspan; Amit Ruf; Jacob Goldberger
Journal:  IEEE Trans Med Imaging       Date:  2006-09       Impact factor: 10.048

2.  Assessment of brain growth in early childhood using deformation-based morphometry.

Authors:  P Aljabar; K K Bhatia; M Murgasova; J V Hajnal; J P Boardman; L Srinivasan; M A Rutherford; L E Dyet; A D Edwards; D Rueckert
Journal:  Neuroimage       Date:  2007-08-24       Impact factor: 6.556

Review 3.  Quantifying and modelling tissue maturation in the living human fetal brain.

Authors:  Colin Studholme; François Rousseau
Journal:  Int J Dev Neurosci       Date:  2013-07-03       Impact factor: 2.457

4.  Unbiased average age-appropriate atlases for pediatric studies.

Authors:  Vladimir Fonov; Alan C Evans; Kelly Botteron; C Robert Almli; Robert C McKinstry; D Louis Collins
Journal:  Neuroimage       Date:  2010-07-23       Impact factor: 6.556

5.  Brain Growth Gains and Losses in Extremely Preterm Infants at Term.

Authors:  Nelly Padilla; Georgios Alexandrou; Mats Blennow; Hugo Lagercrantz; Ulrika Ådén
Journal:  Cereb Cortex       Date:  2014-01-31       Impact factor: 5.357

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

Authors:  Ioannis S Gousias; A David Edwards; Mary A Rutherford; Serena J Counsell; Jo V Hajnal; Daniel Rueckert; Alexander Hammers
Journal:  Neuroimage       Date:  2012-06-17       Impact factor: 6.556

7.  Unbiased diffeomorphic atlas construction for computational anatomy.

Authors:  S Joshi; Brad Davis; Matthieu Jomier; Guido Gerig
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

8.  Effects of congenital heart disease on brain development.

Authors:  Patrick S McQuillen; Donna A Goff; Daniel J Licht
Journal:  Prog Pediatr Cardiol       Date:  2010-08-01

9.  A computational model of cerebral cortex folding.

Authors:  Jingxin Nie; Lei Guo; Gang Li; Carlos Faraco; L Stephen Miller; Tianming Liu
Journal:  J Theor Biol       Date:  2010-02-15       Impact factor: 2.691

10.  3D global and regional patterns of human fetal subplate growth determined in utero.

Authors:  J Corbett-Detig; P A Habas; J A Scott; K Kim; V Rajagopalan; P S McQuillen; A J Barkovich; O A Glenn; C Studholme
Journal:  Brain Struct Funct       Date:  2010-10-29       Impact factor: 3.270

View more
  10 in total

1.  A novel approach to multiple anatomical shape analysis: Application to fetal ventriculomegaly.

Authors:  Oualid Benkarim; Gemma Piella; Islem Rekik; Nadine Hahner; Elisenda Eixarch; Dinggang Shen; Gang Li; Miguel Angel González Ballester; Gerard Sanroma
Journal:  Med Image Anal       Date:  2020-06-10       Impact factor: 8.545

2.  Fetal cortical surface atlas parcellation based on growth patterns.

Authors:  Jing Xia; Fan Wang; Oualid M Benkarim; Gerard Sanroma; Gemma Piella; Miguel A González Ballester; Nadine Hahner; Elisenda Eixarch; Caiming Zhang; Dinggang Shen; Gang Li
Journal:  Hum Brain Mapp       Date:  2019-05-20       Impact factor: 5.038

3.  FETAL CORTICAL PARCELLATION BASED ON GROWTH PATTERNS.

Authors:  Jing Xia; Caiming Zhang; Fan Wang; Oualid M Benkarim; Gerard Sanroma; Gemma Piella; Miguel A González Balleste; Nadine Hahner; Elisenda Eixarch; Dinggang Shen; Gang Li
Journal:  Proc IEEE Int Symp Biomed Imaging       Date:  2018-05-24

Review 4.  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

5.  Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network.

Authors:  Yuchen Pei; Liangjun Chen; Fenqiang Zhao; Zhengwang Wu; Tao Zhong; Ya Wang; Changan Chen; Li Wang; He Zhang; Lisheng Wang; Gang Li
Journal:  Med Image Comput Comput Assist Interv       Date:  2021-09-21

6.  Cortical development coupling between surface area and sulcal depth on macaque brains.

Authors:  Xiao Li; Songyao Zhang; Xi Jiang; Shu Zhang; Junwei Han; Lei Guo; Tuo Zhang
Journal:  Brain Struct Funct       Date:  2022-01-06       Impact factor: 3.270

7.  Learning non-linear patch embeddings with neural networks for label fusion.

Authors:  Gerard Sanroma; Oualid M Benkarim; Gemma Piella; Oscar Camara; Guorong Wu; Dinggang Shen; Juan D Gispert; José Luis Molinuevo; Miguel A González Ballester
Journal:  Med Image Anal       Date:  2017-12-02       Impact factor: 8.545

8.  Mapping hemispheric asymmetries of the macaque cerebral cortex during early brain development.

Authors:  Jing Xia; Fan Wang; Zhengwang Wu; Li Wang; Caiming Zhang; Dinggang Shen; Gang Li
Journal:  Hum Brain Mapp       Date:  2019-09-18       Impact factor: 5.038

9.  A framework for multi-component analysis of diffusion MRI data over the neonatal period.

Authors:  Maximilian Pietsch; Daan Christiaens; Jana Hutter; Lucilio Cordero-Grande; Anthony N Price; Emer Hughes; A David Edwards; Joseph V Hajnal; Serena J Counsell; J-Donald Tournier
Journal:  Neuroimage       Date:  2018-11-02       Impact factor: 6.556

10.  Automated Brain Masking of Fetal Functional MRI with Open Data.

Authors:  Chandra Sripada; Moriah Thomason; Saige Rutherford; Pascal Sturmfels; Mike Angstadt; Jasmine Hect; Jenna Wiens; Marion I van den Heuvel; Dustin Scheinost
Journal:  Neuroinformatics       Date:  2021-06-15
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.