Study of Brain Computer Aided Diagnostic System Based on CT Image

Shuai Yuan; Guo Yun Zhang; Jian Hui Wu; Long Yuan Guo

doi:10.4028/www.scientific.net/AMM.530-531.297

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 530-531Study of Brain Computer Aided Diagnostic System...

Study of Brain Computer Aided Diagnostic System Based on CT Image

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 530-531)

Pages:

297-300

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.530-531.297

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Online since:

February 2014

Authors:

Shuai Yuan*, Guo Yun Zhang, Jian Hui Wu, Long Yuan Guo

Keywords:

BP Neural Network Algorithm, Brain, Computer Aided Diagnostic System, CT Image, Feature Extraction, GLCM, Image Classification, Preprocessing, Segmental Linear Stretching

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* - Corresponding Author

References

[1] Yonggang Bao, Yuemin Zhu: Study of Computer Aided Diagnostic System for Cranial Nerve Sclerosis. Journal of Changchun University. Vol. 1 (1999), pp.20-23 (In Chinese).

Google Scholar

[2] Yifeng Xue, Xudong Bao, Hanlin Ma, Lei Wu: Computer-aided Diagnosis System for Pulmonary Nodules Based on CT Images. Journal of Chinese Medical Physics. Vol. 2 (2006), pp.93-96 (In Chinese).

Google Scholar

[3] Yifeng Xue, Xudong Bao, Hanlin Ma, Lei Wu: A Brain Tumor Automatic Assisted-diagnosis System Based on Medical Image Shape Analysis. Journal of Chinese Medical Instrumentation. Vol. 2 (2005), pp.87-91 (In Chinese).

Google Scholar

[4] Shixiu Zheng: BP Algorithm Applied for Computer-aided Diagnosis. Journal of Mathematical Medicine. Vol. 4 (2001), pp.355-357 (In Chinese).

Google Scholar