Literature DB >> 12165351

Study of pediatric brain development using magnetic resonance imaging of anisotropic diffusion.

Saïd Boujraf1, Robert Luypaert, Wael Shabana, Linda De Meirleir, Steven Sourbron, Michel Osteaux.   

Abstract

The properties of water diffusion in human brain tissue can be characterized by diffusion tensors computed from diffusion weighted magnetic resonance images. Since these properties are strongly determined by the structural and geometrical characteristics of the tissue, the maturation process of white matter and gray matter tissue can be expected to be reflected in these images and derived tensor quantities. The purpose of this work was therefore to study the development of pediatric brain in terms of changes occurring in the observed diffusion behavior. Echo planar diffusion tensor imaging was performed on 22 (10 females and 12 males) full term newborn and infant patients, diagnosed in retrospect as neurologically healthy. The subjects were subdivided in three age categories. A number of quantities based on the diffusion images were calculated for each tissue type and age category, and the ability of these quantities to provide sensitive and consistent information about the tissue differences and evolution was evaluated. The results clearly illustrate that the rotationally invariant quantities (e.g., the highest diffusivity, anisotropy ratio and volume ratio) are superior to the rotationally variant ones (e.g., ADCs measured along the three axes of the magnet) often used in the clinic. On the basis of the anisotropy ratio and the volume ratio indices, a correlation between the white matter maturation and the evolution of the diffusion anisotropy could be established. The same quantities did not exhibit any age dependence for the gray matter tissues. Copyright 2002 Elsevier Science Inc.

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Year:  2002        PMID: 12165351     DOI: 10.1016/s0730-725x(02)00501-5

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  9 in total

1.  Diffusion tensor imaging findings in young children with benign external hydrocephalus differ from the normal population.

Authors:  M Sun; W Yuan; D A Hertzler; A Cancelliere; M Altaye; F T Mangano
Journal:  Childs Nerv Syst       Date:  2011-12-14       Impact factor: 1.475

2.  Isotropic apparent diffusion coefficient mapping of postnatal cerebral development.

Authors:  K O Lövblad; J Schneider; K Ruoss; M Steinlin; C Fusch; G Schroth
Journal:  Neuroradiology       Date:  2003-05-20       Impact factor: 2.804

3.  Assessment of cortical maturation with prenatal MRI. Part I: Normal cortical maturation.

Authors:  Céline Fogliarini; Katia Chaumoitre; Frédérique Chapon; Carla Fernandez; Olivier Lévrier; Dominique Figarella-Branger; Nadine Girard
Journal:  Eur Radiol       Date:  2005-04-23       Impact factor: 5.315

4.  PROPELLER EPI: an MRI technique suitable for diffusion tensor imaging at high field strength with reduced geometric distortions.

Authors:  Fu-Nien Wang; Teng-Yi Huang; Fa-Hsuan Lin; Tzu-Chao Chuang; Nan-Kuei Chen; Hsiao-Wen Chung; Cheng-Yu Chen; Kenneth K Kwong
Journal:  Magn Reson Med       Date:  2005-11       Impact factor: 4.668

5.  Fetal diffusion tensor quantification of brainstem pathology in Chiari II malformation.

Authors:  Ramona Woitek; Daniela Prayer; Michael Weber; Gabriele Amann; Rainer Seidl; Dieter Bettelheim; Veronika Schöpf; Peter C Brugger; Julia Furtner; Ulrika Asenbaum; Gregor Kasprian
Journal:  Eur Radiol       Date:  2015-09-02       Impact factor: 5.315

6.  Strategies for assessing diffusion anisotropy on the basis of magnetic resonance images: comparison of systematic errors.

Authors:  Saïd Boujraf
Journal:  J Med Signals Sens       Date:  2014-04

7.  Diffusion Tensor Magnetic Resonance Imaging Strategies for Color Mapping of Human Brain Anatomy.

Authors:  Saïd Boujraf
Journal:  J Med Signals Sens       Date:  2018 Apr-Jun

8.  Assessment of the Focal Hepatic Lesions Using Diffusion Tensor Magnetic Resonance Imaging.

Authors:  Siham Ait Oussous; Saïd Boujraf; Imane Kamaoui
Journal:  J Med Signals Sens       Date:  2016 Apr-Jun

9.  Feed-forward neural networks using cerebral MR spectroscopy and DTI might predict neurodevelopmental outcome in preterm neonates.

Authors:  T Janjic; S Pereverzyev; M Hammerl; V Neubauer; H Lerchner; V Wallner; R Steiger; U Kiechl-Kohlendorfer; M Zimmermann; A Buchheim; A E Grams; E R Gizewski
Journal:  Eur Radiol       Date:  2020-07-18       Impact factor: 7.034

  9 in total

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