Literature DB >> 21477757

Diffusion tensor imaging for evaluation of the childhood brain and pediatric white matter disorders.

Jared Isaacson1, James Provenzale.   

Abstract

Magnetic resonance (MR) imaging has been used by investigators and clinicians to assess the development of the brain in childhood to understand both patterns of normal growth and patterns by which a maturing brain may deviate from normal. Advanced MR techniques such as diffusion tensor imaging (DTI) have gained prominence as a means of assessing brain development. This review explains the sequence of brain maturation and the means by which DTI can be used to assess it in normal children.
Copyright © 2011. Published by Elsevier Inc.

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Year:  2011        PMID: 21477757     DOI: 10.1016/j.nic.2011.02.005

Source DB:  PubMed          Journal:  Neuroimaging Clin N Am        ISSN: 1052-5149            Impact factor:   2.264


  5 in total

Review 1.  The translational role of diffusion tensor image analysis in animal models of developmental pathologies.

Authors:  Ipek Oguz; Matthew S McMurray; Martin Styner; Josephine M Johns
Journal:  Dev Neurosci       Date:  2012-05-24       Impact factor: 2.984

2.  Regional cerebral blood flow in children from 3 to 5 months of age.

Authors:  A F Duncan; A Caprihan; E Q Montague; J Lowe; R Schrader; J P Phillips
Journal:  AJNR Am J Neuroradiol       Date:  2013-10-03       Impact factor: 3.825

Review 3.  Pediatric brain MRI, Part 2: Advanced techniques.

Authors:  Mai-Lan Ho; Norbert G Campeau; Thang D Ngo; Unni K Udayasankar; Kirk M Welker
Journal:  Pediatr Radiol       Date:  2017-04-13

Review 4.  Advances in pediatric neuroimaging.

Authors:  Pradeep Krishnan; Prakash Muthusami; Chris Heyn; Manohar Shroff
Journal:  Indian J Pediatr       Date:  2015-01-06       Impact factor: 1.967

5.  Diffusion tensor imaging of the brainstem in children with achondroplasia.

Authors:  Thangamadhan Bosemani; Gunes Orman; Kathryn A Carson; Avner Meoded; Thierry A G M Huisman; Andrea Poretti
Journal:  Dev Med Child Neurol       Date:  2014-05-14       Impact factor: 5.449

  5 in total

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