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Establishing Surface Correspondence for Post-surgical Cortical Thickness Changes in Temporal Lobe Epilepsy
Yue Liu1,2, Dario J Englot3, Victoria L Morgan4
1College of Information Science and Engineering, Northeastern University, Shenyang, China.
Proceedings of Spie--The International Society for Optical Engineering
|September 17, 2021
Summary
A new particle-based method accurately maps brain surface changes after temporal lobe resection, outperforming conventional methods in identifying subtle cortical thickness alterations and improving region matching.
Area of Science:
- Neurosurgery
- Medical Imaging
- Computational Anatomy
Background:
- Establishing accurate surface correspondence is crucial for analyzing postoperative brain changes.
- Existing surface registration methods struggle with non-rigid changes and structural absence post-surgery, particularly in temporal lobe resections.
- Accurate shape correspondence is vital for understanding surgical impact on brain morphology.
Purpose of the Study:
- To develop a fully automatic particle-based method for robust surface correspondence in pre- and post-surgical brain analysis.
- To address the challenges posed by partial structural abnormalities and non-rigid changes in temporal lobe resections.
- To improve the accuracy and stability of shape analysis in neurosurgical outcomes research.
Main Methods:
- A fully automatic particle-based approach optimizing point coordinates hierarchically to establish surface correspondence.
- Hierarchical optimization reduces the likelihood of getting trapped in local minima during surface registration.
- Comparison with conventional spherical registration (FreeSurfer) using healthy controls and temporal lobe resection patients.
Main Results:
- No significant cortical thickness changes were detected in healthy controls by either method.
- The proposed particle-based method demonstrated well-matched regions of interest (ROIs) and subtle cortical thickness changes in patients.
- Conventional FreeSurfer registration showed poorly matched ROIs and substantial cortical thickness changes in post-surgical patients.
Conclusions:
- The proposed particle-based method establishes stable and accurate shape correspondence, effectively handling post-surgical abnormalities.
- This method offers superior performance compared to conventional spherical registration for analyzing temporal lobe resections.
- The findings suggest improved reliability for assessing surgical impact on brain morphology using this novel approach.
