Author(s)

Jingjing Zhou, Murat Hamit, Abdugheni Kutluk, Chuanbo Yan, Li Li, Jianjun Chen, Yanting Hu, Dewei Kong, Weikang Yuan

College of Medical Engineering Technology, Xinjiang Medical University, Urumqi, China 830011.
College of Medical Engineering Technology, Xinjiang Medical University, Urumqi, China 830011 Department of Radiology, The First Affiliated Hospital, Xinjiang Medical University, Urumqi, China 830054.
Department of Radiology, The First Affiliated Hospital, Xinjiang Medical University, Urumqi, China 830054.

Designing and developing computer-assisted image processing techniques to help doctors improve their diagnosis has received considerable interests over the past years. In this paper, we used the kolmogorov complexity model to analyze the CT images of the healthy liver and multiple daughter hydatid cysts. Before the complexity characteristic calculating, the image preprocessing methods had been used for image standardization. From the kolmogorov complexity model, complexity characteristic were calculated in order to quantify the complexity, between healthy liver and multiple daughter hydatid cysts. Then we use statistical method to analyze the complexity characteristic of those two types of images. Our preliminary results show that the complexity characteristic has statistically significant (p<0.05) to analyze these two types CT images, between the healthy liver and the multiple daughter hydatid cysts. Furthermore, the result leads us to the conclusion that the kolmogorov complexity model could use for analyze the hydatid disease and will also extend the analysis the other lesions of liver.

Hepatic Cystic Echinococcosis; CT image; Kolmogorov Complexity

J. Zhou, M. Hamit, A. Kutluk, C. Yan, L. Li, J. Chen, Y. Hu, D. Kong and W. Yuan, "Evaluation of Hepatic Cystic Echinococcosis’ CT image in Xinjiang Uygur Autonomous Region based on Kolmogorov Complexity Model," Engineering, Vol. 4 No. 10B, 2012, pp. 57-60. doi: 10.4236/eng.2012.410B015.