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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