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Model Based Denoising of Diffusion MRI Reduces Bias in Tensor Derived Parameters and Connectivity Measures
Nastaren Abad1, Luca Marinelli1, Radhika Madhavan1, and Tom K.F Foo1
1General Electric Global Research, Niskayuna, NY, United States
Model based denoising was used to explore accelerated sampling by evaluating bias developed in qualitative and quantitative end points. Experimental results highlight superior performance, compared to ground truth, in noise and bias reduction in metrics and structure preservation.
Figure 1. Examples of diffusion-weighted images with and without denoising, highlighting that signal components can be individually separated with improved conspicuity, and without spatial regularization or blurring. All images are scaled to the non-denoised b=500 s/mm2 data.
Figure 2. Qualitative assessment of denoising indicates retention of spatial features such as striatal cell bodies connecting the caudate and putamen through the internal capsule (red arrow).