An Algorithm of Extracting Intracranial Structures from Cerebral Computed Tomography

A novel algorithm is proposed in this paper in terms of the existing extraction algorithms for intracranial structures on cerebral computed tomography (CT) lacking automation. The skull image from CT is characterized by great width and high gray-level, considering that, the proposed algorithm uses linear filtering to extract the outline of skull. and then mathematic morphology and horizontal scanning algorithm is employed for automatic segmentation of intracranial structures on cerebral CT. Experiment on 100 cases of cerebral CT demonstrates that the ratio of automatic segmentation reaches up to 99%, and the results are accurate and encouraging.