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Related Experiment Video

Updated: Jun 10, 2026

Whole-brain Segmentation and Change-point Analysis of Anatomical Brain MRI—Application in Premanifest Huntington's Disease
09:06

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Evaluation of Atlas based Mouse Brain Segmentation.

Joohwi Lee1, Julien Jomier, Stephen Aylward

  • 1Department of Computer Science, University of North Carolina, Chapel Hill NC, USA.

Proceedings of Spie--The International Society for Optical Engineering
|July 20, 2010
PubMed
Summary
This summary is machine-generated.

We developed an automated pipeline for mouse brain analysis using Magnetic Resonance Imaging (MRI). This pipeline enables accurate morphometric studies, aiding in understanding human diseases through mouse models.

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Computational Biology

Background:

  • Magnetic Resonance Imaging (MRI) is crucial for mouse phenotype studies to understand human diseases.
  • Existing human brain analysis pipelines require adaptation for murine models.

Purpose of the Study:

  • To present a fully automatic pipeline for morphometric mouse brain analysis.
  • To evaluate the pipeline's performance using atlas-based segmentation and registration methods.

Main Methods:

  • Developed an automated pipeline based on human brain atlas segmentation.
  • Compared b-spline and fluid registration methods for pipeline components.
  • Conducted qualitative and quantitative validation, including visual inspection and measurements.

Main Results:

  • Both b-spline and fluid registration methods are effective in murine settings.
  • Fluid registration demonstrated superior stability across various parameter settings.
  • Segmentation methods were evaluated by comparing volume differences in different mouse strains.

Conclusions:

  • The automated pipeline is effective for mouse brain morphometric analysis.
  • Fluid registration is recommended for its stability in murine MRI studies.
  • The pipeline facilitates comparative studies, such as strain-specific differences in neurological models.