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Related Experiment Video

Updated: May 23, 2026

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
09:57

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

Published on: January 2, 2012

Cortical Surface Reconstruction from High-Resolution MR Brain Images.

Sergey Osechinskiy1, Frithjof Kruggel

  • 1Department of Biomedical Engineering, University of California, Irvine, CA 92697, USA.

International Journal of Biomedical Imaging
|April 7, 2012
PubMed
Summary

A new method reconstructs the human brain cortex from high-resolution MRI scans, improving sulcal morphometry and cortical thickness studies. This approach is efficient and suitable for detailed brain structure analysis.

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Area of Science:

  • Neuroimaging
  • Computational Anatomy
  • Medical Image Analysis

Background:

  • Cerebral cortex reconstruction from MRI is vital for brain structure analysis.
  • Existing methods struggle with high-resolution images, limiting detailed quantitative studies.
  • Submillimeter MR images offer greater detail but require specialized reconstruction techniques.

Purpose of the Study:

  • To present a novel, efficient, and scalable PDE-based method for automated cortical reconstruction.
  • To adapt cortical reconstruction for high-resolution magnetic resonance (MR) images.
  • To improve the accuracy of sulcal morphometry and cortical thickness studies.

Main Methods:

  • Utilized a partial differential equation (PDE)-based approach for automated cortical reconstruction.

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Assessing Cortical Cerebral Microinfarcts on High Resolution MR Images
08:39

Assessing Cortical Cerebral Microinfarcts on High Resolution MR Images

Published on: November 20, 2015

Related Experiment Videos

Last Updated: May 23, 2026

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
09:57

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index

Published on: January 2, 2012

Assessing Cortical Cerebral Microinfarcts on High Resolution MR Images
08:39

Assessing Cortical Cerebral Microinfarcts on High Resolution MR Images

Published on: November 20, 2015

  • Employed a mathematical model of a field in an inhomogeneous dielectric for laminar property mapping.
  • Reconstructed the pial cortical surface using advection along the field gradient with a topology-preserving level set approach.

    • Main Results:

    • Demonstrated the method's suitability for high-resolution MR images (0.25-0.35 mm isotropic voxels).
    • Showcased computational efficiency and scalability with grid resolution.
    • Validated performance through cross-comparison with FreeSurfer on standard resolution data.

    Conclusions:

    • The developed PDE-based method offers an efficient and accurate solution for reconstructing high-resolution cerebral cortex MR images.
    • This technique enhances the potential for detailed quantitative analysis of brain structure, including sulcal morphometry and cortical thickness.
    • The method shows promise for advancing neuroimaging research, particularly in studies requiring fine-grained anatomical detail.