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Items: 1 to 20 of 162

1.

Nonlocal denoising using anisotropic structure tensor for 3D MRI.

Wu X, Liu S, Wu M, Sun H, Zhou J, Gong Q, Ding Z.

Med Phys. 2013 Oct;40(10):101904. doi: 10.1118/1.4820370.

PMID:
24089906
2.

Generalized total variation-based MRI Rician denoising model with spatially adaptive regularization parameters.

Liu RW, Shi L, Huang W, Xu J, Yu SC, Wang D.

Magn Reson Imaging. 2014 Jul;32(6):702-20. doi: 10.1016/j.mri.2014.03.004. Epub 2014 Mar 18.

PMID:
24746774
3.

Structure-adaptive sparse denoising for diffusion-tensor MRI.

Bao L, Robini M, Liu W, Zhu Y.

Med Image Anal. 2013 May;17(4):442-57. doi: 10.1016/j.media.2013.01.006. Epub 2013 Feb 17.

PMID:
23541286
4.

A two-step optimization approach for nonlocal total variation-based Rician noise reduction in magnetic resonance images.

Liu RW, Shi L, Yu SC, Wang D.

Med Phys. 2015 Sep;42(9):5167-87. doi: 10.1118/1.4927793.

PMID:
26328968
5.

Denoising 3D MR images by the enhanced non-local means filter for Rician noise.

Liu H, Yang C, Pan N, Song E, Green R.

Magn Reson Imaging. 2010 Dec;28(10):1485-96. doi: 10.1016/j.mri.2010.06.023. Epub 2010 Sep 17.

PMID:
20850239
6.

Non-local mean denoising in diffusion tensor space.

Su B, Liu Q, Chen J, Wu X.

Exp Ther Med. 2014 Aug;8(2):447-453. Epub 2014 Jun 6.

7.

Shape-adaptive DCT for denoising of 3D scalar and tensor valued images.

Bergmann Ø, Christiansen O, Lie J, Lundervold A.

J Digit Imaging. 2009 Jun;22(3):297-308. Epub 2007 Dec 11.

8.

Improved DCT-based nonlocal means filter for MR images denoising.

Hu J, Pu Y, Wu X, Zhang Y, Zhou J.

Comput Math Methods Med. 2012;2012:232685. doi: 10.1155/2012/232685. Epub 2012 Mar 7.

9.

Kernel regression based feature extraction for 3D MR image denoising.

López-Rubio E, Florentín-Núñez MN.

Med Image Anal. 2011 Aug;15(4):498-513. doi: 10.1016/j.media.2011.02.006. Epub 2011 Feb 26.

PMID:
21414834
10.

Clinical DT-MRI estimation, smoothing, and fiber tracking with log-Euclidean metrics.

Fillard P, Pennec X, Arsigny V, Ayache N.

IEEE Trans Med Imaging. 2007 Nov;26(11):1472-82.

PMID:
18041263
11.

Denoising of dynamic contrast-enhanced MR images using dynamic nonlocal means.

Gal Y, Mehnert AJ, Bradley AP, McMahon K, Kennedy D, Crozier S.

IEEE Trans Med Imaging. 2010 Feb;29(2):302-10. doi: 10.1109/TMI.2009.2026575. Epub 2009 Jul 14.

PMID:
19605318
12.

Denoising of 3D magnetic resonance images by using higher-order singular value decomposition.

Zhang X, Xu Z, Jia N, Yang W, Feng Q, Chen W, Feng Y.

Med Image Anal. 2015 Jan;19(1):75-86. doi: 10.1016/j.media.2014.08.004. Epub 2014 Sep 18.

PMID:
25291148
13.

Non-local means variants for denoising of diffusion-weighted and diffusion tensor MRI.

Wiest-Daesslé N, Prima S, Coupé P, Morrissey SP, Barillot C.

Med Image Comput Comput Assist Interv. 2007;10(Pt 2):344-51.

14.

Fast non local means denoising for 3D MR images.

Coupé P, Yger P, Barillot C.

Med Image Comput Comput Assist Interv. 2006;9(Pt 2):33-40.

PMID:
17354753
15.

Brain MR image denoising for Rician noise using pre-smooth non-local means filter.

Yang J, Fan J, Ai D, Zhou S, Tang S, Wang Y.

Biomed Eng Online. 2015 Jan 9;14:2. doi: 10.1186/1475-925X-14-2.

16.

3D data denoising via Nonlocal Means filter by using parallel GPU strategies.

Cuomo S, De Michele P, Piccialli F.

Comput Math Methods Med. 2014;2014:523862. doi: 10.1155/2014/523862. Epub 2014 Jun 16.

17.

Laplacian based non-local means denoising of MR images with Rician noise.

Bhujle HV, Chaudhuri S.

Magn Reson Imaging. 2013 Nov;31(9):1599-610. doi: 10.1016/j.mri.2013.07.001. Epub 2013 Sep 5.

PMID:
24012306
18.

An MRI denoising method using image data redundancy and local SNR estimation.

Golshan HM, Hasanzadeh RP, Yousefzadeh SC.

Magn Reson Imaging. 2013 Sep;31(7):1206-17. doi: 10.1016/j.mri.2013.04.004. Epub 2013 May 10.

PMID:
23668996
19.

An optimized blockwise nonlocal means denoising filter for 3-D magnetic resonance images.

Coupe P, Yger P, Prima S, Hellier P, Kervrann C, Barillot C.

IEEE Trans Med Imaging. 2008 Apr;27(4):425-41. doi: 10.1109/TMI.2007.906087.

20.
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