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Abstract #2831

Improving Visibility of Tissue Heterogeneity in Diffusion Kurtosis Imaging Using Vector-Based Non-Local Means Filter

Minxiong Zhou 1,2 , Xu Yan 3 , and Guang Yang 2

1 Shanghai Medical Instrumentation College, University of Shanghai for Science and Technology, Shanghai, China, 2 Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China, 3 MR Collaboration NE Asia, Siemens Healthcare, Shanghai, China

The study applied vector-based nonlocal mean (VNLM) filter to diffusion kurtosis imaging (DKI). The VNLM filter considered multiple-b-value data, namely the diffusion decay curve, as a whole unit in similarity calculation, which is more robust than independently filtering each pixel in the decay curve. The results showed that the VNLM filter improve the visibility of tissue heterogeneity in tumor region, which provided sharper tissue structure and well suppressed background noise.

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