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Updated: Jul 10, 2026
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Three-Dimensional Shape Modeling and Analysis of Brain Structures
Published on: November 14, 2019
Symmetry identification using partial surface matching and tilt correction in 3D brain images
Xin Liu1, Celina Imielinska, Andrew Laine
1Department of Biomedical Informatics, Columbia University, New York, NY 10032, USA. xl2104@columbia.edu
Summary
This study introduces an automated method to fix 3D brain image orientation by computing the symmetry plane. This ensures clinical readability, even with brain pathologies like tumors or strokes.
Area of Science:
- Medical Imaging
- Computational Anatomy
- Neuroscience
Background:
- Misalignment of patient head in MRI scanners renders brain images unreadable.
- Accurate 3D orientation is crucial for clinical diagnosis and analysis of brain scans.
Purpose of the Study:
- To develop an automated method for computing the symmetry plane of brain images.
- To correct the 3D orientation of patient brain images for improved clinical readability.
Main Methods:
- Representing brain volume as a re-parameterized surface point cloud (elevation, azimuth, radius).
- Decomposing symmetry plane computation into a robust surface matching routine, unaffected by pathologies.
- Employing a multi-resolution paradigm for efficient surface matching.
- Applying spatial affine transform for image alignment and re-slicing.
Main Results:
- Successfully computed symmetry planes and corrected 3D orientation for brain images.
- Demonstrated robustness in the presence of brain pathologies (tumors, stroke, bleed).
- Significantly reduced computational time through multi-resolution approach.
Conclusions:
- The proposed automated method effectively corrects 3D brain image orientation.
- This technique enhances the clinical readability of brain scans, even with pathologies.
- The approach offers a robust and efficient solution for brain image alignment.
