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Items: 1 to 20 of 88

1.

Maximum-likelihood estimation of Rician distribution parameters.

Sijbers J, den Dekker AJ, Scheunders P, Van Dyck D.

IEEE Trans Med Imaging. 1998 Jun;17(3):357-61.

PMID:
9735899
2.

A nonlocal maximum likelihood estimation method for Rician noise reduction in MR images.

He L, Greenshields IR.

IEEE Trans Med Imaging. 2009 Feb;28(2):165-72. doi: 10.1109/TMI.2008.927338.

PMID:
19188105
3.

Implications of the Rician distribution for fMRI generalized likelihood ratio tests.

den Dekker AJ, Sijbers J.

Magn Reson Imaging. 2005 Nov;23(9):953-9. Epub 2005 Oct 19.

PMID:
16310111
4.

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
5.
6.

A wavelet-based method for improving signal-to-noise ratio and contrast in MR images.

Alexander ME, Baumgartner R, Summers AR, Windischberger C, Klarhoefer M, Moser E, Somorjai RL.

Magn Reson Imaging. 2000 Feb;18(2):169-80.

PMID:
10722977
7.

Maximum a posteriori estimation of diffusion tensor parameters using a Rician noise model: why, how and but.

Andersson JL.

Neuroimage. 2008 Oct 1;42(4):1340-56. doi: 10.1016/j.neuroimage.2008.05.053. Epub 2008 Jun 6.

PMID:
18602480
8.

Maximum likelihood estimators in magnetic resonance imaging.

Tisdall MD, Atkins MS, Lockhart RA.

Inf Process Med Imaging. 2007;20:434-45.

PMID:
17633719
9.

Automatic estimation of the noise variance from the histogram of a magnetic resonance image.

Sijbers J, Poot D, den Dekker AJ, Pintjens W.

Phys Med Biol. 2007 Mar 7;52(5):1335-48. Epub 2007 Feb 8. Review.

PMID:
17301458
10.

Noise and signal estimation in magnitude MRI and Rician distributed images: a LMMSE approach.

Aja-Fernandez S, Alberola-Lopez C, Westin CF.

IEEE Trans Image Process. 2008 Aug;17(8):1383-98. doi: 10.1109/TIP.2008.925382.

PMID:
18632347
11.

Optimal estimation of the diffusion coefficient from non-averaged and averaged noisy magnitude data.

Kristoffersen A.

J Magn Reson. 2007 Aug;187(2):293-305. Epub 2007 May 22.

PMID:
17572124
12.

Maximum likelihood estimation-based denoising of magnetic resonance images using restricted local neighborhoods.

Rajan J, Jeurissen B, Verhoye M, Van Audekerke J, Sijbers J.

Phys Med Biol. 2011 Aug 21;56(16):5221-34. doi: 10.1088/0031-9155/56/16/009. Epub 2011 Jul 26.

PMID:
21791732
13.

Wavelet-based Rician noise removal for magnetic resonance imaging.

Nowak RD.

IEEE Trans Image Process. 1999;8(10):1408-19. doi: 10.1109/83.791966.

PMID:
18267412
14.

Adaptive anisotropic noise filtering for magnitude MR data.

Sijbers J, den Dekker AJ, Van der Linden A, Verhoye TM, Van Dyck D.

Magn Reson Imaging. 1999 Dec;17(10):1533-9.

PMID:
10610003
15.

SNR-optimality of sum-of-squares reconstruction for phased-array magnetic resonance imaging.

Larsson EG, Erdogmus D, Yan R, Principe JC, Fitzsimmons JR.

J Magn Reson. 2003 Jul;163(1):121-3.

PMID:
12852915
16.

Maximum likelihood estimation for Rician distributed data in analytical q-ball imaging.

Beladi S, Pathirana PN, Brotchie P.

Conf Proc IEEE Eng Med Biol Soc. 2010;2010:2702-5. doi: 10.1109/IEMBS.2010.5626552.

PMID:
21096203
17.

Fast estimation of diffusion tensors under Rician noise by the EM algorithm.

Liu J, Gasbarra D, Railavo J.

J Neurosci Methods. 2016 Jan 15;257:147-58. doi: 10.1016/j.jneumeth.2015.09.029. Epub 2015 Oct 9.

PMID:
26456357
18.

Measures of performance in nonlinear estimation tasks: prediction of estimation performance at low signal-to-noise ratio.

Müller SP, Abbey CK, Rybicki FJ, Moore SC, Kijewski MF.

Phys Med Biol. 2005 Aug 21;50(16):3697-715. Epub 2005 Jul 28.

PMID:
16077222
19.

A maximum likelihood approach to parallel imaging with coil sensitivity noise.

Raj A, Wang Y, Zabih R.

IEEE Trans Med Imaging. 2007 Aug;26(8):1046-57.

20.

Image construction methods for phased array magnetic resonance imaging.

Erdogmus D, Yan R, Larsson EG, Principe JC, Fitzsimmons JR.

J Magn Reson Imaging. 2004 Aug;20(2):306-14.

PMID:
15269958

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