title: Advanced neonatal NeuroMRI.
abstract: This article describes the potentials and challenges of quantitative analyses of human neonatal brain images using structural magnetic resonance (MR) imaging and diffusion tensor imaging. To maximize the potential of MR imaging for neonatal brain studies, the combination of both contrasts is highly beneficial. Based on the multicontrast data, a neonate brain atlas was created, which allows automated segmentation of neonate brain MR images. The accuracy, advantages, and potential pitfalls of this atlas-based segmentation approach are discussed. The accurate and reproducible MR imaging quantification achieved by this approach could be an initial step toward the successful clinical evaluation of the neonatal brain.
authors: The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA. koishi@mri.jhu.edu
authors: Kenichi
authors: K
authors: Oishi
authors: Andreia V
authors: AV
authors: Faria
authors: Susumu
authors: S
authors: Mori
mesh_terms: D001921:Brain / Q000473:pathology*; D001927:Brain Diseases / Q000175:diagnosis*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007231:Infant, Newborn; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008953:Models, Anatomic; D015997:Neonatal Screening / Q000379:methods*