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Imaging
superior longitudinal fasciculus is clearly identifiable in the five-year- of injury development, are becoming more important than ever. We
old volunteer but completely missing in the fetal brain. expect that our DTI database will help in the understanding of the
contrasts on DTI images from premature infants and in the detection of
Clinical Correlation anatomical abnormalities. n
Among pediatric cases, imaging of pre- or full-term infants for clinical
indications is of great interest. Routinely used diagnostic methods, such
Hao Huang, PhD, is Director of the Structural Magnetic
as electronic monitoring and ultrasound, often have poor sensitivity to
Resonance Imaging and Analysis Laboratory at the
significant abnormalities in neonate brains. A new imaging modality that Advanced Imaging Research Center, and an Assistant
can precisely delineate anatomical and physiological abnormalities is
Professor in the Department of Radiology at the
University of Texas Southwestern Medical Center. He is
urgently needed. Furthermore, it has been demonstrated that various
a leading expert in the use of magnetic resonance
injuries, due to perinatal risks, often lead to damage in selective white imaging to study brain development and has conducted
matter. Precise delineation of the status of specific white matter tracts
the ground-breaking work of revealing the complicated
structural changes of both gray and white matter during
may provide more accurate diagnosis. Due to the advances in the critical
fetal brain development. Dr Huang is an active member of Sigma Xi, the Society for
care of pre-term infants, the survival rate of premature infants has Neuroscience (SFN), and the International Society for Magnetic Resonance in
increased dramatically in recent years. Identification of abnormalities in
Medicine (ISMRM).
the early phase of injuries and perinatal risk factors, and understanding
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9. Makris N, Worth AJ, Sorensen AG, et al., Morphometry of in normal human brain maturation, AJNR Am J Neuroradiol, 2002; 27. Thomas B, Eyssen M, Peeters R, et al., Quantitative diffusion
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92 US NEUROLOGY
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