Automatic Intracranial Brain Segmentation from Computed Tomography Head Images

This work addresses the need for rapid and automated brain segmentation in medical imaging, but it appears incremental as it builds on existing techniques like thresholding and erosion.

The authors tackled the problem of segmenting the intracranial brain region from CT head images by developing a fast and automatic algorithm that combines HU thresholding, ray intersection, binary erosion, and connected components, achieving efficient segmentation without specifying concrete performance numbers.