A novel anatomical structure segmentation method of CT head images

In this paper, a method is developed for anatomical structures segmentation based on CT head images. The segmented structure can be used for image-guided surgery navigations. In our method, intensity rescaling, region growing, fuzzy c-means and mathematical morphology are combined and used systematically. Due to the low contrast of the CT images, intensity rescaling is applied to the images to enhance the contrast. Region growing is used to extract the intracranial area from the enhanced images. Then, fuzzy c-means is adopted to segment the intracranial images of brain matter and cerebrospinal fluid (CSF). Mathematical morphology is used to correct the pre-calculated images and obtain accurate brain matter and CSF segmentations. The experiments show that the algorithm can obtain good brain matter and CSF segmentations from CT head images.