SU-F-R-23: Texture Feature Analysis for Assessment of Liver Cirrhosis and Normal Liver in CT Image.

PURPOSE: In this study, texture analysis is proposed to assess liver cirrhosis and normal liver in CT image, and to automatically identify cirrhosis tissue and normal tissue for liver.

METHODS: Texture feature parameters were extracted from 10 liver cirrhosis and 10 normal liver CT images. To individuate which parameter is available in classify the different tissue, a Wilcoxon signed-rank test between textural indices was performed.

RESULTS: We acquired 9 texture parameters (such as energy, inertia, entropy, correlation, etc.) for each patient. Only correlation showed a statistically significant between cirrhosis liver tissue and normal liver tissue (0.6408±0.0611 vs 0.4108±0.0733, p=0.00).

CONCLUSION: The results indicate that texture feature analysis for liver parenchyma maybe helpful in identifying cirrhosis tissue and normal tissue. However, a deeper validation of this new approach on a large population is required in the future.