Study of Brain Computer Aided Diagnostic System Based on CT Image

• Published in: Applied Mechanics and Materials Vol. 530-531; no. Advances in Measurements and Information Technologies; pp. 297 - 300
• Main Authors: Zhang, Guo Yun, Guo, Long Yuan, Yuan, Shuai, Wu, Jian Hui
• Format: Journal Article
• Language: English
• Published: Zurich Trans Tech Publications Ltd 01.02.2014
• Subjects: Algorithms; Brain; Diagnostic systems; Feature extraction; Image classification; Neural networks; Preprocessing; Image Classification; CT Image; Brain; Preprocessing; Computer Aided Diagnostic System; Feature Extraction; BP Neural Network Algorithm; Segmental Linear Stretching; GLCM
• ISBN: 3038350397; 9783038350392
• ISSN: 1660-9336; 1662-7482; 1662-7482
• DOI: 10.4028/www.scientific.net/AMM.530-531.297

Brain computer aided diagnostic system based on CT image has been widely applied for medical clinical field, which studies image preprocessing, feature extraction and image classification diagnosis based on digital image processing technology. This paper presents system design and realization of aided diagnostic technology for brain CT image. The dynamic grey level range of CT image is extended by adopting segmental linear stretching method at first. Then textural features of CT image are extracted based on GLCM (grey level concurrence matrix). BP neural network algorithm is used to design a classifier for textural features vector of CT image at last, which identifies normal and abnormal brain CT image. Test result shows that the method presented has good accuracy, quick speed and strong robustness for realtime application.