A Nonlocal Maximum Likelihood Estimation Method for Rician Noise Reduction in MR Images
暂无分享,去创建一个
[1] Cheng Guan Koay,et al. Analytically exact correction scheme for signal extraction from noisy magnitude MR signals. , 2006, Journal of magnetic resonance.
[2] H. Gudbjartsson,et al. The rician distribution of noisy mri data , 1995, Magnetic resonance in medicine.
[3] Pierrick Coupé,et al. Fast Non Local Means Denoising for 3D MR Images , 2006, MICCAI.
[4] Jitendra Malik,et al. Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..
[5] G E Santyr,et al. Physical MR desktop data. , 1993, Journal of magnetic resonance imaging : JMRI.
[6] Alexei A Samsonov,et al. Noise‐adaptive nonlinear diffusion filtering of MR images with spatially varying noise levels , 2004, Magnetic resonance in medicine.
[7] Suyash P. Awate,et al. Feature-Preserving MRI Denoising: A Nonparametric Empirical Bayes Approach , 2007, IEEE Transactions on Medical Imaging.
[8] Walter Kucharczyk,et al. SMRI 1993: Annual meeting overview , 1993 .
[9] R. Henkelman. Measurement of signal intensities in the presence of noise in MR images. , 1985, Medical physics.
[10] Guido Gerig,et al. Nonlinear anisotropic filtering of MRI data , 1992, IEEE Trans. Medical Imaging.
[11] L D Cromwell,et al. Filtering noise from images with wavelet transforms , 1991, Magnetic resonance in medicine.
[12] J. Sijbers,et al. Maximum likelihood estimation of signal amplitude and noise variance from MR data , 2004, Magnetic resonance in medicine.
[13] Jan Sijbers,et al. Maximum-likelihood estimation of Rician distribution parameters , 1998, IEEE Transactions on Medical Imaging.
[14] W. Edelstein,et al. The intrinsic signal‐to‐noise ratio in NMR imaging , 1986, Magnetic resonance in medicine.
[15] John A. Nelder,et al. A Simplex Method for Function Minimization , 1965, Comput. J..
[16] Jos B. T. M. Roerdink,et al. Denoising functional MR images: a comparison of wavelet denoising and Gaussian smoothing , 2004, IEEE Transactions on Medical Imaging.
[17] M.D. Sambora. A Non-local Maximum-Likelihood Denoising Algorithm , 2007, 2007 IEEE Aerospace Conference.
[18] A. Macovski. Noise in MRI , 1996, Magnetic resonance in medicine.
[19] Robert D. Nowak,et al. Wavelet-based Rician noise removal for magnetic resonance imaging , 1999, IEEE Trans. Image Process..
[20] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] W. Perman,et al. Improved detectability in low signal-to-noise ratio magnetic resonance images by means of a phase-corrected real reconstruction. , 1989, Medical physics.
[22] M. Bronskill,et al. Noise and filtration in magnetic resonance imaging. , 1985, Medical physics.
[23] M. Dylan Tisdall,et al. MRI denoising via phase error estimation , 2005, SPIE Medical Imaging.
[24] J Sijbers,et al. Estimation of the noise in magnitude MR images. , 1998, Magnetic resonance imaging.
[25] Mongi A. Abidi,et al. Digital Imaging with Extreme Zoom: System Design and Image Restoration , 2006, Fourth IEEE International Conference on Computer Vision Systems (ICVS'06).
[26] W. Edelstein,et al. A signal-to-noise calibration procedure for NMR imaging systems. , 1984, Medical physics.
[27] Daniel Cremers,et al. Iterated Nonlocal Means for Texture Restoration , 2007, SSVM.
[28] Xi Chen,et al. A Robust and Fast Non-Local Means Algorithm for Image Denoising , 2008, Journal of Computer Science and Technology.
[29] Donald Geman,et al. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images , 1984 .
[30] Guillermo Sapiro,et al. Fast image and video denoising via nonlocal means of similar neighborhoods , 2005, IEEE Signal Processing Letters.
[31] Xavier Descombes,et al. Spatio-temporal fMRI analysis using Markov random fields , 1998, IEEE Transactions on Medical Imaging.
[32] Jean-Michel Morel,et al. A Review of Image Denoising Algorithms, with a New One , 2005, Multiscale Model. Simul..
[33] Jean-Michel Morel,et al. Denoising image sequences does not require motion estimation , 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..
[34] Stephen M. Smith,et al. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.
[35] J.B.T.M. Roerdink,et al. A review of wavelet denoising in MRI and ultrasound brain imaging , 2006 .