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Abstract #0138

Texture analysis based on diffusional kurtosis imaging for the differentiation of benign and malignant bone tumors

Ying Li1, Cuiping Ren1, Jingliang Cheng1, and Zhizheng Zhuo2

1First affiliated hospital of Zhengzhou university, Zhengzhou, China, 2Clinical Science, Philips Healthcare, Beijing, China

This work investigated and evaluated the role of textures extracted from magnetic resonance (MR) diffusion kurtosis imaging (DKI) in characterizing the bone tumors, and furtherly evaluate the ability of these textures to differentiate benign and malignant tumors by using support vector machine classifiers (SVM), which might be helpful for clinical diagnosis and studies. The texture parameters have the ability to character the bone tumor and SVM classifier showed good performance in the differentiation of benign and malignant bone tumors.

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