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Related Concept Videos

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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A dynamic 4D probabilistic atlas of the developing brain.

Maria Kuklisova-Murgasova1, Paul Aljabar, Latha Srinivasan

  • 1Department of Computing, Imperial College London, London, UK. maria.murgasova@eng.ox.ac.uk

Neuroimage
|October 26, 2010
PubMed
Summary

This study introduces a 4D probabilistic atlas for dynamic neonatal brain development, offering age-specific tissue probability maps crucial for analyzing infant brain MRI and development.

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Developmental Biology

Background:

  • Static probabilistic atlases are common for adult and pediatric brain MRI analysis.
  • Neonatal brain development is rapid, necessitating age-specific anatomical references.
  • Existing atlases lack the dynamic resolution required for precise neonatal brain studies.

Purpose of the Study:

  • To develop a 4D probabilistic atlas for dynamic neonatal brain development.
  • To provide age-specific prior tissue probability maps for gestational ages 29-44 weeks.
  • To enhance the analysis of structural and anatomical information in neonatal brain MRI.

Main Methods:

  • Utilized segmentations from 142 neonatal subjects across various developmental stages.
  • Employed a kernel-based regression method for atlas construction.
  • Generated dynamic prior tissue probability maps for key brain structures.

Main Results:

  • Created a 4D probabilistic atlas covering neonatal brain development from 29 to 44 gestational weeks.
  • The atlas provides probability maps for cortex, white matter, subcortical grey matter, brainstem, cerebellum, and cerebro-spinal fluid.
  • The atlas enables dynamic generation of tissue priors tailored to specific developmental stages.

Conclusions:

  • The 4D probabilistic atlas offers a valuable tool for precise anatomical and structural analysis of the developing neonatal brain.
  • This dynamic atlas addresses the limitations of static atlases in capturing rapid neonatal brain growth.
  • The publicly available atlas facilitates research in infant neurodevelopment and brain MRI analysis.