We propose a novel but simple method to evaluate noise/signal leaking in PCA-based denoising for diffusion MRI. This method was applied on MP-PCA and LPCA on a human dataset acquired with the ABCD protocol. The results show that MP-PCA is more conservative in removing the noise than LPCA and therefore has little signal leaking. On the other hand, LPCA has less noise leaking as it removed more noise than MP-PCA. Our proposed method can be an effective tool in assessing denoising performance in practice.
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