MR imaging methods for assessing fetal brain development

Rutherford, Mary, Jiang, Shuzhou, Allsop, Joanna, Perkins, Lucinda, Srinivasan, Latha, Hayat, Tayyib, Kumar, Sailesh and Hajnal, Jo (2008) MR imaging methods for assessing fetal brain development. Developmental Neurobiology, 68 6: 700-711. doi:10.1002/dneu.20614

Author Rutherford, Mary
Jiang, Shuzhou
Allsop, Joanna
Perkins, Lucinda
Srinivasan, Latha
Hayat, Tayyib
Kumar, Sailesh
Hajnal, Jo
Title MR imaging methods for assessing fetal brain development
Journal name Developmental Neurobiology   Check publisher's open access policy
ISSN 1932-8451
Publication date 2008-05-01
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1002/dneu.20614
Open Access Status Not yet assessed
Volume 68
Issue 6
Start page 700
End page 711
Total pages 12
Place of publication Hoboken, NJ, United States
Publisher John Wiley & Sons
Language eng
Formatted abstract
Fetal magnetic resonance imaging provides an ideal tool for investigating growth and development of the brain in vivo. Current imaging methods have been hampered by fetal motion but recent advances in image acquisition can produce high signal to noise, high resolution 3-dimensional datasets suitable for objective quantification by state of the art post acquisition computer programs. Continuing development of imaging techniques will allow a unique insight into the developing brain, more specifically process of cell migration, axonal pathway formation, and cortical maturation. Accurate quantification of these developmental processes in the normal fetus will allow us to identify subtle deviations from normal during the second and third trimester of pregnancy either in the compromised fetus or in infants born prematurely.
Keyword Brain
Magnetic resonance imaging
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collection: Mater Health Services Publications
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Citation counts: TR Web of Science Citation Count  Cited 33 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 42 times in Scopus Article | Citations
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