Evaluation of non-local means based denoising filters for diffusion kurtosis imaging using a new phantom.
Image denoising has a profound impact on the precision of estimated parameters in diffusion kurtosis imaging (DKI). This work first proposes an approach to constructing a DKI phantom that can be used to evaluate the performance of denoising algorithms in regard to their abilities of improving the re...
Main Authors: | Min-Xiong Zhou, Xu Yan, Hai-Bin Xie, Hui Zheng, Dongrong Xu, Guang Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2015-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4313935?pdf=render |
Similar Items
-
Characteristic Mean Kurtosis Values in Simple Diffusion Kurtosis Imaging of Dentigerous Cysts
by: Yuka Fukumura, et al.
Published: (2023-12-01) -
Non-local means based Rician noise filtering for diffusion tensor and kurtosis imaging in human brain and spinal cord
by: Zhongping Zhang, et al.
Published: (2021-01-01) -
Multibaseline Interferometric Phase Denoising Based on Kurtosis in the NSST Domain
by: Yanfang Liu, et al.
Published: (2020-01-01) -
An Iterative Mean Filter for Image Denoising
by: ugur erkan, et al.
Published: (2019-01-01) -
Volatility filtering in estimation of kurtosis (and variance)
by: Anatolyev Stanislav
Published: (2019-02-01)