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Making MR Imaging Child's Play - Pediatric Neuroimaging Protocol, Guidelines and Procedure
15:18

Making MR Imaging Child's Play - Pediatric Neuroimaging Protocol, Guidelines and Procedure

Published on: July 30, 2009

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Challenges in pediatric neuroimaging

Matthew J Barkovich1, Yi Li1, Rahul S Desikan1

  • 1Department of Radiology and Diagnostic Imaging, University of California, San Francisco 505 Parnassus Avenue, Room L352, San Francisco, CA 94143-0628, United States.

Neuroimage
|April 24, 2018
PubMed

Insights

Pediatric neuroimaging requires specialized techniques due to rapid brain development and patient immaturity. Customized approaches, including specific equipment and trained staff, ensure high-quality diagnostic images in children.

Area of Science:

  • Pediatric neuroimaging
  • Developmental neuroscience
  • Medical imaging technology

Background:

  • The developing brain undergoes rapid structural, metabolic, and functional changes, posing unique challenges for neuroimaging.
  • Children's small size, immaturity, and potential for motion necessitate specialized approaches for high-quality diagnostic imaging.
  • Factors such as patient cooperation, medical condition, and age significantly influence the choice of imaging methods and equipment.

Purpose of the Study:

  • To outline the key considerations and strategies for obtaining high-quality diagnostic neuroimaging in pediatric populations.
  • To highlight the importance of a customized approach in pediatric neuroimaging.
  • To review various techniques and technologies employed in pediatric neuroimaging.

Main Methods:

  • Utilizing a multidisciplinary team with specialized training in pediatric imaging.
  • Employing customized imaging protocols tailored to the child's age and functional status.
  • Leveraging specialized equipment, including small bore MRI scanners, MRI-compatible incubators, and neonatal head coils.
  • Implementing low-tech methods like 'feed and swaddle' for motion management.
  • Applying advanced pre- and post-processing software to mitigate motion artifacts and low signal.

Main Results:

  • A customized approach combining dedicated staff, appropriate hardware, and software is crucial for successful pediatric neuroimaging.
  • Specialized equipment and techniques can overcome challenges related to patient size and motion.
  • Advanced image processing can improve the quality of scans affected by motion and low signal.

Conclusions:

  • High-quality pediatric neuroimaging demands a tailored strategy considering the unique developmental and physiological characteristics of children.
  • The integration of specialized personnel, equipment, and advanced processing techniques is essential for overcoming common challenges in pediatric neuroimaging.
  • Continuous innovation in imaging technology and methodology is vital for advancing diagnostic capabilities in pediatric neuroscience.

Keywords:
Fetal imagingMRINeonatal imagingPediatric neuroimaging

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