NDLI: Robust 4D flow denoising using divergence-free wavelet transform

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Robust 4D flow denoising using divergence-free wavelet transform

Content Provider	Scilit
Author	Ong, Frank Uecker, Martin Tariq, Umar Hsiao, Albert Alley, Marcus T. Vasanawala, Shreyas S. Lustig, Michael
Copyright Year	2014
Description	Journal: Magnetic Resonance in Medicine To investigate four-dimensional flow denoising using the divergence-free wavelet (DFW) transform and compare its performance with existing techniques. DFW is a vector-wavelet that provides a sparse representation of flow in a generally divergence-free field and can be used to enforce "soft" divergence-free conditions when discretization and partial voluming result in numerical nondivergence-free components. Efficient denoising is achieved by appropriate shrinkage of divergence-free wavelet and nondivergence-free coefficients. SureShrink and cycle spinning are investigated to further improve denoising performance. DFW denoising was compared with existing methods on simulated and phantom data and was shown to yield better noise reduction overall while being robust to segmentation errors. The processing was applied to in vivo data and was demonstrated to improve visualization while preserving quantifications of flow data. DFW denoising of four-dimensional flow data was shown to reduce noise levels in flow data both quantitatively and visually.
Related Links	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4139475/pdf
Ending Page	842
Page Count	15
Starting Page	828
e-ISSN	15222594
DOI	10.1002/mrm.25176
Journal	Magnetic Resonance in Medicine
Issue Number	2
Volume Number	73
Language	English
Publisher	Wiley-Blackwell
Publisher Date	2014-02-18
Access Restriction	Open
Subject Keyword	Journal: Magnetic Resonance in Medicine Radiology, Nuclear Medicine and Imaging Four-dimensional Flow Wavelet Denoising
Content Type	Text
Resource Type	Article

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