Segmentation and Contour Extraction of CT Scan Images for Traumatic Brain Injuries
Author Information
Author(s): B. Dhalila S. Y. Khoodoruth, Rughooputh Harry C. S., Lefer Wilfrid
Primary Institution: University of Pau and Pays de l'Adour
Hypothesis
We propose to segment two-dimensional CT scans of traumatic brain injuries using various methods.
Conclusion
The new computational pipeline technique effectively segments features in CT scans, demonstrating reliability for diagnostic or presurgery purposes.
Supporting Evidence
- The proposed methods include bilateral filtering and diffusion properties for better contour extraction.
- Segmentation is crucial for pre-surgery planning and diagnostic purposes.
- Different segmentation approaches yield varying results based on the characteristics of the lesions.
Takeaway
This study shows how to use computer techniques to help doctors see and understand brain injuries better in CT scans.
Methodology
The study uses hybrid, feature extraction, level sets, region growing, and watershed methods for segmentation and contour extraction.
Limitations
The segmentation results may vary based on the constraints applied and the characteristics of the lesions.
Participant Demographics
CT scans obtained from 5 patients with various traumatic brain injuries.
Digital Object Identifier (DOI)
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