Extraction of Cerebral Hemorrhage and Calculation of Its Volume on CT Image Using Automatic Segmentation Algorithm

• Published in: Journal of physics. Conference series Vol. 1187; no. 4; pp. 42088 - 42093
• Main Authors: Wang, Nian, Tong, Fei, Tu, Yongcheng, Chen, Hemu, Zhou, Yong, Tang, Jun
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.04.2019
• Subjects: Algorithms; Clumps; Computed tomography; Hemorrhage; Image segmentation; Mathematical analysis; Medical imaging; Optimization
• ISSN: 1742-6588; 1742-6596; 1742-6596
• DOI: 10.1088/1742-6596/1187/4/042088

Cerebral hemorrhage is caused by a number of factors leading to cerebral vascular rupture, which causes blood to flow into the brain tissue and then clumps together to form hematoma. If the treatment is improper for patients with cerebral hemorrhage, their lives will be in great danger. Rapid, accurate and repeatable estimation of cerebral hemorrhage is considerably important for medical diagnosis and treatments. In this paper, an automatic system is proposed to segment the regions of cerebral hemorrhage from CT images. Then the volume of cerebral hemorrhage can be calculated by extracting the regions of cerebral hemorrhage. The segmentation method proposed in this paper is based on the Otsu algorithm, Chicken swarm optimization algorithm and local recursion algorithm. Meanwhile, the results of the proposed algorithm are compared with those given by the experts.