Literature DB >> 18979766

Atlas-based segmentation of the germinal matrix from in utero clinical MRI of the fetal brain.

Piotr A Habas1, Kio Kim, Francois Rousseau, Orit A Glenn, A James Barkovich, Colin Studholme.   

Abstract

Recently developed techniques for reconstruction of high-resolution 3D images from fetal MR scans allows us to study the morphometry of developing brain tissues in utero. However, existing adult brain analysis methods cannot be directly applied as the anatomy of the fetal brain is significantly different in terms of geometry and tissue morphology. We describe an approach to atlas-based segmentation of the fetal brain with particular focus on the delineation of the germinal matrix, a transient structure related to brain growth. We segment 3D images reconstructed from in utero clinical MR scans and measure volumes of different brain tissue classes for a group of fetal subjects at gestational age 20.5-22.5 weeks. We also include a partial validation of the approach using manual tracing of the germinal matrix at different gestational ages.

Mesh:

Year:  2008        PMID: 18979766      PMCID: PMC3343876          DOI: 10.1007/978-3-540-85988-8_42

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  14 in total

1.  Volumetric analysis of the germinal matrix and lateral ventricles performed using MR images of postmortem fetuses.

Authors:  Y Kinoshita; T Okudera; E Tsuru; A Yokota
Journal:  AJNR Am J Neuroradiol       Date:  2001-02       Impact factor: 3.825

2.  Automated model-based bias field correction of MR images of the brain.

Authors:  K Van Leemput; F Maes; D Vandermeulen; P Suetens
Journal:  IEEE Trans Med Imaging       Date:  1999-10       Impact factor: 10.048

3.  Laminar organization of the human fetal cerebrum revealed by histochemical markers and magnetic resonance imaging.

Authors:  Ivica Kostović; Milos Judas; Marko Rados; Pero Hrabac
Journal:  Cereb Cortex       Date:  2002-05       Impact factor: 5.357

Review 4.  Fetal MRI: a developing technique for the developing patient.

Authors:  Fergus V Coakley; Orit A Glenn; Aliya Qayyum; Anthony J Barkovich; Ruth Goldstein; Roy A Filly
Journal:  AJR Am J Roentgenol       Date:  2004-01       Impact factor: 3.959

5.  Automatic segmentation of MR images of the developing newborn brain.

Authors:  Marcel Prastawa; John H Gilmore; Weili Lin; Guido Gerig
Journal:  Med Image Anal       Date:  2005-10       Impact factor: 8.545

6.  Registration-based approach for reconstruction of high-resolution in utero fetal MR brain images.

Authors:  Francois Rousseau; Orit A Glenn; Bistra Iordanova; Claudia Rodriguez-Carranza; Daniel B Vigneron; James A Barkovich; Colin Studholme
Journal:  Acad Radiol       Date:  2006-09       Impact factor: 3.173

7.  Adaptive segmentation of MRI data.

Authors:  W M Wells; W L Grimson; R Kikinis; F A Jolesz
Journal:  IEEE Trans Med Imaging       Date:  1996       Impact factor: 10.048

8.  Magnetic resonance imaging of the brain in very preterm infants: visualization of the germinal matrix, early myelination, and cortical folding.

Authors:  M R Battin; E F Maalouf; S J Counsell; A H Herlihy; M A Rutherford; D Azzopardi; A D Edwards
Journal:  Pediatrics       Date:  1998-06       Impact factor: 7.124

9.  Quantitative magnetic resonance imaging of brain development in premature and mature newborns.

Authors:  P S Hüppi; S Warfield; R Kikinis; P D Barnes; G P Zientara; F A Jolesz; M K Tsuji; J J Volpe
Journal:  Ann Neurol       Date:  1998-02       Impact factor: 10.422

10.  MRI of moving subjects using multislice snapshot images with volume reconstruction (SVR): application to fetal, neonatal, and adult brain studies.

Authors:  Shuzhou Jiang; Hui Xue; Alan Glover; Mary Rutherford; Daniel Rueckert; Joseph V Hajnal
Journal:  IEEE Trans Med Imaging       Date:  2007-07       Impact factor: 10.048

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  7 in total

Review 1.  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

Review 2.  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

3.  Intersection based motion correction of multislice MRI for 3-D in utero fetal brain image formation.

Authors:  Kio Kim; Piotr A Habas; Francois Rousseau; Orit A Glenn; Anthony J Barkovich; Colin Studholme
Journal:  IEEE Trans Med Imaging       Date:  2009-09-09       Impact factor: 10.048

4.  Atlas-based segmentation of developing tissues in the human brain with quantitative validation in young fetuses.

Authors:  Piotr A Habas; Kio Kim; Francois Rousseau; Orit A Glenn; A James Barkovich; Colin Studholme
Journal:  Hum Brain Mapp       Date:  2010-09       Impact factor: 5.038

5.  A Deep Attentive Convolutional Neural Network for Automatic Cortical Plate Segmentation in Fetal MRI.

Authors:  Haoran Dou; Davood Karimi; Caitlin K Rollins; Cynthia M Ortinau; Lana Vasung; Clemente Velasco-Annis; Abdelhakim Ouaalam; Xin Yang; Dong Ni; Ali Gholipour
Journal:  IEEE Trans Med Imaging       Date:  2021-04-01       Impact factor: 10.048

6.  MR imaging of the fetal brain.

Authors:  Orit A Glenn
Journal:  Pediatr Radiol       Date:  2009-11-24

Review 7.  Multivariate Analyses Applied to Healthy Neurodevelopment in Fetal, Neonatal, and Pediatric MRI.

Authors:  Jacob Levman; Emi Takahashi
Journal:  Front Neuroanat       Date:  2016-01-21       Impact factor: 3.856

  7 in total

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