PVS_Enhance
PVS_Enhance is a toolbox for the enhancement of perivascular spaces (very thin and weak tubular structures) in MR image. Methods in the toolbox are based on Haar transformation of non-local cubes and 4D block-matching filtering. The software was implemented in MATLAB with cpp files (Mex compiling is required) and developed by the IDEA group at the University of North Carolina at Chapel Hill ( https://www.med.unc.edu/bric/ideagroup).
More detailed explanations can be found in the following paper. If you use this code, please include the following article as a reference.
[Yingkun Hou*, Sang Hyun Park*, Qian Wang, Jun Zhang, Xiaopeng Zong, Weili Lin, Dinggang Shen, "Enhancement of Perivascular Spaces in 7T MR Image using Haar Transform of Non-local Cubes and Block-matching Filtering," Scientific Reports 7, 8569, Aug. 2017.]
More detailed explanations can be found in the following paper. If you use this code, please include the following article as a reference.
[Yingkun Hou*, Sang Hyun Park*, Qian Wang, Jun Zhang, Xiaopeng Zong, Weili Lin, Dinggang Shen, "Enhancement of Perivascular Spaces in 7T MR Image using Haar Transform of Non-local Cubes and Block-matching Filtering," Scientific Reports 7, 8569, Aug. 2017.]
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pvs_enhance: PVS_Enhance_ver1.0 release
PVS_enhance.zip posted by Sang Hyun Park on May 30, 2017