Literature DB >> 16938471

Quantitative MRI measurements of human fetal brain development in utero.

Rachel Grossman1, Chen Hoffman, Yael Mardor, Anat Biegon.   

Abstract

Magnetic resonance imaging (MRI) allows for high resolution imaging of the central nervous system. We have tested the feasibility of using MRI in conjunction with quantitative image analysis to perform volumetric measurements of the brain in the developing human fetus in utero. The database comprises MR images of a total of 56 fetuses (gestational age 25-41 weeks) referred because of suspected abnormalities due to ultrasound findings, family history or maternal illness and scanned on a 1.5 T MR system using a single-shot fast spin echo (SSFSE) T2 sequence, slice thickness 3 mm, no gap. Four out of the 56 scans could not be used in the analysis due to poor image quality. Automatic segmentation (using NIH Image routines) was found to be unreliable in these fetal brains, so cerebral, cerebellar and ventricular regions were traced manually. Ventricular volumes did not vary with gestational age in normal fetuses (N=27, R=0.05, p=0.8) while cerebral parenchyma and cerebellum volumes increased significantly during the same period (R=0.67, p=0.0002 and R=0.51, p=0.0066 respectively). Two calculated parameters: percent ventricular asymmetry and volume ratio of ventricles to hemispheric parenchyma were found to be very sensitive to ventricular pathology; such that the mean value of the latter in normal fetuses was 4.4%+/-0.56 (mean+/-SEM, N=27) compared to 34.3%+/-17.6 (N=6, p<0.0001) in fetuses with ventriculomegaly. These results support the use of image analysis and MRI to produce normal growth curves as well as quantitative severity assessments of brain pathologies in the developing human fetus.

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Year:  2006        PMID: 16938471     DOI: 10.1016/j.neuroimage.2006.07.005

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


  27 in total

1.  Mapping directionality specific volume changes using tensor based morphometry: an application to the study of gyrogenesis and lateralization of the human fetal brain.

Authors:  Vidya Rajagopalan; Julia Scott; Piotr A Habas; Kio Kim; Francois Rousseau; Orit A Glenn; A James Barkovich; Colin Studholme
Journal:  Neuroimage       Date:  2012-04-06       Impact factor: 6.556

2.  Robust super-resolution volume reconstruction from slice acquisitions: application to fetal brain MRI.

Authors:  Ali Gholipour; Judy A Estroff; Simon K Warfield
Journal:  IEEE Trans Med Imaging       Date:  2010-06-07       Impact factor: 10.048

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

Authors:  Piotr A Habas; Kio Kim; Francois Rousseau; Orit A Glenn; A James Barkovich; Colin Studholme
Journal:  Med Image Comput Comput Assist Interv       Date:  2008

4.  Local tissue growth patterns underlying normal fetal human brain gyrification quantified in utero.

Authors:  Vidya Rajagopalan; Julia Scott; Piotr A Habas; Kio Kim; James Corbett-Detig; Francois Rousseau; A James Barkovich; Orit A Glenn; Colin Studholme
Journal:  J Neurosci       Date:  2011-02-23       Impact factor: 6.167

Review 5.  Mapping the developing human brain in utero using quantitative MR imaging techniques.

Authors:  Colin Studholme
Journal:  Semin Perinatol       Date:  2015-03       Impact factor: 3.300

Review 6.  Mapping fetal brain development in utero using magnetic resonance imaging: the Big Bang of brain mapping.

Authors:  Colin Studholme
Journal:  Annu Rev Biomed Eng       Date:  2011-08-15       Impact factor: 9.590

Review 7.  Quantitative magnetic resonance imaging of the fetal brain in utero: Methods and applications.

Authors:  Anat Biegon; Chen Hoffmann
Journal:  World J Radiol       Date:  2014-08-28

8.  Mapping primary gyrogenesis during fetal development in primate brains: high-resolution in utero structural MRI of fetal brain development in pregnant baboons.

Authors:  Peter Kochunov; Carlos Castro; Duff Davis; Donald Dudley; Jordan Brewer; Yi Zhang; Christopher D Kroenke; David Purdy; Peter T Fox; Calvin Simerly; Gerald Schatten
Journal:  Front Neurosci       Date:  2010-05-10       Impact factor: 4.677

9.  Role of MR imaging in prenatal diagnosis of pregnancies at risk for Joubert syndrome and related cerebellar disorders.

Authors:  S N Saleem; M S Zaki
Journal:  AJNR Am J Neuroradiol       Date:  2009-11-26       Impact factor: 3.825

10.  Computational morphometry for detecting changes in brain structure due to development, aging, learning, disease and evolution.

Authors:  Daniel Mietchen; Christian Gaser
Journal:  Front Neuroinform       Date:  2009-08-11       Impact factor: 4.081

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