A Novel Approach for Segmenting the Lateral Ventricle from CT Brain Image via Active Contour without Edge

The lateral ventricle is filled with cerebrospinal fluid (CSF) in the brain. Some brain diseases are caused by changing of the ventricle shape or volume. The ventricle shape and volume are used to diagnose patients who have brain diseases. This paper proposes an algorithm of digital image processing for segmentation of a ventricle from CT brain images. The process starts with normalizing the CT brain images and extracts the region of interest using profile of gray level. In segmentation step, we apply active contour without edge to segment the lateral ventricle. Finally, the ventricle is evaluated with the relatively ground truth from a neurologist. Our experimental results from the proposed algorithm reveal a low error of 2.54 % and a standard deviation of 1.27. Keywords—lateral ventricle; image segmentation;