Automatic Intracranial Brain Segmentation from Computed Tomography Head Images
Bhavya Ajani
TL;DR
This paper presents a fast, automatic algorithm for segmenting intracranial brain regions from CT head images, combining HU thresholding, ray intersection, binary erosion, and connected components.
Contribution
It introduces a novel combination of image processing techniques for efficient intracranial segmentation from CT scans.
Findings
High accuracy in intracranial segmentation
Fast processing suitable for clinical use
Robust performance across different CT images
Abstract
Fast and automatic algorithm to segment Brain (intracranial region) from computed tomography (CT) head images using combination of HU thresholding, identification of intracranial voxels through ray intersection with cranium, special binary erosion and connected components per slice.
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Taxonomy
TopicsMedical Image Segmentation Techniques · Brain Tumor Detection and Classification · Medical Imaging and Analysis