MRI Atlas of Pediatric Brain Maturation and Anatomy + DVD

MRI of Normal Brain Maturation in the First Three Years of Life
Introduction
Subject Selection
MRI Techniques
Myelin and Myelination
Assessing Myelination on MRI
MRI of Brain Maturation in First Three Years of Life
Preterm infant
Term infant to age 4 months
Four months of age to 3 years
Summary
References
Maturation Images
32 Weeks
35 Weeks
40 Weeks
44 Weeks
3 Months
6 Months
9 Months
1 Year
1 Year, 6 Months
2 Years
3 Years
Anatomy Images
3 Years

• Contains over 450 high resolution images for rapid reference, mined from MRI examinations from the University of Virginia's Picture Archiving and Communication System (PACS)
• Companion DVD provides software that gives physicians the full range of comparative information they need to confidently distinguish the normal MR exam from the abnormal
• Both the printed book and DVD contain convenient myelination milestone charts and a chapter reviewing the basics of myelin and myelination, tips on assessing myelination, and summaries of age-appropriate maturation

MRI Atlas of Pediatric Brain Maturation and Anatomy and its software application offer a concise review of normal myelin, myelination, and commonly used MR techniques. Practical points on using MRI to assess the progress of brain maturation are discussed, followed by clinically relevant summaries of normal MR appearances grouped by age. The book version contains abridged sets of normal reference MR images between preterm and 3 years of age. The software proivides immediate access to over 13,000 high resolution, normal comparison MR images of subjects ranging in age from 32 gestational weeks to 3 years. Designed as both a practical clinical resource and educational tool, the software is ideal for use at the imaging workstation where one can rapidly bring up complete sets of high quality, scrollable MR reference images with guiding annotations to ensure more accurate and clinically valuable interpretations. Suspected deviations from normal brain development or MR signal can be more confidently identified or excluded, and diagnostic errors arising from unfamiliarity with the changing MR appearances of the immature brain can be minimized.

Julie A. Matsumoto, Associate Professor of Radiology and Medical Imaging, University of Virginia Health System, Cree M. Gaskin, Associate Professor of Radiology and Medical Imaging; Vice-Chair of Informatics, University of Virginia Health System, Derek Kreitel, Clinical Instructor in Radiology and Medical Imaging, University of Virginia Health System, and S. Lowell Kahn, Assistant Professor of Radiology, Tufts University School of Medicine; Baystate Vascular Services, Baystate Medical Center

Julie Matsumoto is an Associate Professor of Radiology at the University of Virginia in Charlottesville, Virginia. Cree Gaskin is an Assistant Professor Radiology and Vice-Chair of Informatics at the University of Virginia in Charlottesville, Virginia. Derek Kreitel is an Instructor in the Department of Radiology at the University of Virginia in Charlottesville, Virginia. S. Lowell Kahn is an Assistant Professor of Radiology at Tufts University School of Medicine and Baystate Medical Center in Springfield, Massachusetts.