21.11.5 MRI, Enhancement, Noise and Artifact Reduction

Chapter Contents (Back)
Noise Reduction. Artifact Removal. Magnetic Resonance. Three-Dimensional Models.

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IEEE Top Reference. 9803
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Optimized Homomorphic Unsharp Masking for MR Grayscale Inhomogeneity Correction,
MedImg(17), No. 2, April 1998, pp. 161-171.
IEEE Top Reference. 9808
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Locally adaptive conductance in geometry-driven-diffusion filtering of magnetic resonance tomograms,
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Geometry-driven-diffusion filtering of magnetic resonance images using model-based conductance,
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Weerasinghe, C., Yan, H.,
An Improved Algorithm for Rotational Motion Artifact Suppression in MRI,
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Weerasinghe, C., Yan, H.,
Correction of Motion Artifacts in MRI Caused by Rotations at Constant Angular Velocity,
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Deichmann, R., Wiesmann, F., Hillenbrand, C., Hahn, D., Haase, A.,
Contrast enhancement and artifact reduction in magnetization-prepared MR angiography,
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Nowak, R.D.,
Wavelet-Based Rician Noise Removal for Magnetic Resonance Imaging,
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Ahn, C.B., Song, Y.C., Park, D.J.,
Adaptive template filtering for signal-to-noise ratio enhancement in magnetic resonance imaging,
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Weaver, J.B.[John B.],
Applications of monotonic noise reduction algorithms in fMRI, phase estimation, and contrast enhancement,
IJIST(10), No. 2, 1999, pp. 177-185. BibRef 9900

Bakir, T., Reeves, S.J.,
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Weerasinghe, C.[Chaminda], Ji, L.[Lilian], Yan, H.[Hong],
A new method for ROI extraction from motion affected MR images based on suppression of artifacts in the image background,
SP(80), No. 5, May 2000, pp. 867-88. 0005
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Kao, Y.H.[Yi-Hsuan], MacFall, J.R.,
Correction of MR k-space data corrupted by spike noise,
MedImg(19), No. 7, July 2000, pp. 671-680.
IEEE Top Reference. 0110
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Glowinski, A., Adam, G., Bucker, A., van Vaals, J., Gunther, R.W.,
A perspective on needle artifacts in MRI: an electromagnetic model for experimentally separating susceptibility effects,
MedImg(19), No. 12, December 2000, pp. 1248-1252.
IEEE Top Reference. 0110
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Xu, Z.H.[Zhi-Hua], Chan, A.K.,
Encoding with frames in MRI and analysis of the signal-to-noise ratio,
MedImg(21), No. 4, April 2002, pp. 332-342.
IEEE Top Reference. 0206
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Archibald, R., Gelb, A.,
A method to reduce the Gibbs ringing artifact in MRI scans while keeping tissue boundary integrity,
MedImg(21), No. 4, April 2002, pp. 305-319.
IEEE Top Reference. 0206
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Archibald, R., Hu, J., Gelb, A., Farin, G.,
Improving the Accuracy of Volumetric Segmentation Using Pre-Processing Boundary Detection and Image Reconstruction,
IP(13), No. 4, April 2004, pp. 459-466.
IEEE DOI 0404
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Bao, P., Zhang, L.[Lei],
Noise reduction for magnetic resonance images via adaptive multiscale products thresholding,
MedImg(22), No. 9, September 2003, pp. 1089-1099.
IEEE Abstract. 0309
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Lysaker, M., Lundervold, A., Tai, X.C.[Xue-Cheng],
Noise removal using fourth-order partial differential equation with applications to medical magnetic resonance images in space and time,
IP(12), No. 12, December 2003, pp. 1579-1590.
IEEE DOI 0402
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Winkelmann, S., Schaeffter, T., Eggers, H., Doessel, O.,
SNR Enhancement in Radial SSFP Imaging Using Partial k-Space Averaging,
MedImg(24), No. 2, February 2005, pp. 254-262.
IEEE Abstract. 0501
SSFP: steady-state free precessing. MRI sequences. BibRef

Winkelmann, S., Schaeffter, T., Koehler, T., Eggers, H., Doessel, O.,
An Optimal Radial Profile Order Based on the Golden Ratio for Time-Resolved MRI,
MedImg(26), No. 1, January 2007, pp. 68-76.
IEEE DOI 0701
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Madabhushi, A.[Anant], Udupa, J.K.[Jayaram K.],
Interplay Between Intensity Standardization and Inhomogeneity Correction in MR Image Processing,
MedImg(24), No. 5, May 2005, pp. 561-576.
IEEE Abstract. 0505
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Madabhushi, A.[Anant], Udupa, J.K.[Jayaram K.], Souza, A.[Andre],
Generalized scale: Theory, algorithms, and application to image inhomogeneity correction,
CVIU(101), No. 2, February 2005, pp. 100-121.
Elsevier DOI 0512
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Ahmed, O.A.,
New Denoising Scheme for Magnetic Resonance Spectroscopy Signals,
MedImg(24), No. 6, June 2005, pp. 809-816.
IEEE Abstract. 0506
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Chang, Z., Xiang, Q.S.,
Nonlinear Phase Correction With an Extended Statistical Algorithm,
MedImg(24), No. 6, June 2005, pp. 791-798.
IEEE Abstract. 0506
MRI phase correction. BibRef

Luo, J., Zhu, Y., Clarysse, P., Magnin, I.,
Correction of Bias Field in MR Images Using Singularity Function Analysis,
MedImg(24), No. 8, August 2005, pp. 1067-1085.
IEEE DOI 0508
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Lin, W., Wehrli, F.W., Song, H.K.,
Correcting Bulk In-Plane Motion Artifacts in MRI Using the Point Spread Function,
MedImg(24), No. 9, September 2005, pp. 1170-1176.
IEEE DOI 0509
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Pauchard, Y., Smith, M.R., Mintchev, M.P.,
Improving Geometric Accuracy in the Presence of Susceptibility Difference Artifacts Produced by Metallic Implants in Magnetic Resonance Imaging,
MedImg(24), No. 10, October 2005, pp. 1387-1399.
IEEE DOI 0510
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Kobashi, S.[Syoji], Kondo, K.[Katsuya], Hata, Y.[Yutaka],
Target image enhancement using representative line in MR cholangiography images,
IJIST(14), No. 3, 2004, pp. 122-130.
DOI Link 0408
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Ibrahim, T.S.,
Ultrahigh-Field MRI Whole-Slice and Localized RF Field Excitations Using the Same RF Transmit Array,
MedImg(25), No. 10, October 2006, pp. 1341-1347.
IEEE DOI 0609
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Khalidov, I., van de Ville, D., Jacob, M., Lazeyras, F., Unser, M.,
BSLIM: Spectral Localization by Imaging With Explicit B{0} Field Inhomogeneity Compensation,
MedImg(26), No. 7, July 2007, pp. 990-1000.
IEEE DOI 0707
Magnetic resonance spectroscopy imaging (MRSI) BibRef

Garcia-Sebastian, M.[Maite], Fernandez, E.[Elsa], Grana, M.[Manuel], Torrealdea, F.J.[Francisco J.],
A parametric gradient descent MRI intensity inhomogeneity correction algorithm,
PRL(28), No. 13, 1 October 2007, pp. 1657-1666.
Elsevier DOI 0709
MRI; Intensity inhomogeneity correction; Parametric methods BibRef

Awate, S.P., Whitaker, R.T.,
Feature-Preserving MRI Denoising: A Nonparametric Empirical Bayes Approach,
MedImg(26), No. 9, September 2007, pp. 1242-1255.
IEEE DOI 0710
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Hamarneh, G., Hradsky, J.,
Bilateral Filtering of Diffusion Tensor Magnetic Resonance Images,
IP(16), No. 10, October 2007, pp. 2463-2475.
IEEE DOI 0711
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Gilbert, G., Simard, D., Beaudoin, G.,
Impact of an Improved Combination of Signals From Array Coils in Diffusion Tensor Imaging,
MedImg(26), No. 11, November 2007, pp. 1428-1436.
IEEE DOI 0709
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Latt, J., Nilsson, M., Malmborg, C., Rosquist, H., Wirestam, R., Stahlberg, F., Topgaard, D., Brockstedt, S.,
Accuracy of q-Space Related Parameters in MRI: Simulations and Phantom Measurements,
MedImg(26), No. 11, November 2007, pp. 1437-1447.
IEEE DOI 0709
BibRef

Matter, N.I., Chronik, B., Pauly, J.M., Macovski, A., Conolly, S.M., Scott, G.C.,
Noise Performance of a Precision Pulsed Electromagnet Power Supply for Magnetic Resonance Imaging,
MedImg(27), No. 1, January 2008, pp. 75-86.
IEEE DOI 0712
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Cukur, T., Santos, J.M., Pauly, J.M., Nishimura, D.G.,
Variable-Density Parallel Imaging With Partially Localized Coil Sensitivities,
MedImg(29), No. 5, May 2010, pp. 1173-1181.
IEEE DOI 1006
BibRef

Coupe, P., Yger, P., Prima, S., Hellier, P., Kervrann, C., Barillot, C.,
An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images,
MedImg(27), No. 4, April 2008, pp. 425-441.
IEEE DOI 0804
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Coupe, P., Hellier, P., Kervrann, C., Barillot, C.,
Nonlocal Means-Based Speckle Filtering for Ultrasound Images,
IP(18), No. 10, October 2009, pp. 2221-2229.
IEEE DOI 0909
BibRef

Aja-Fernandez, S., Alberola-Lopez, C., Westin, C.F.,
Noise and Signal Estimation in Magnitude MRI and Rician Distributed Images: A LMMSE Approach,
IP(17), No. 8, August 2008, pp. 1383-1398.
IEEE DOI 0808
BibRef

Aja-Fernandez, S.[Santiago], Niethammer, M., Kubicki, M., Shenton, M.E., Westin, C.F.,
Restoration of DWI Data Using a Rician LMMSE Estimator,
MedImg(27), No. 10, October 2008, pp. 1389-1403.
IEEE DOI 0810
Diffusion weighted magnetic resonance imaging. BibRef

Yuan, Y., Zhu, H., Ibrahim, J.G., Lin, W., Peterson, B.G.,
A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Images,
MedImg(27), No. 10, October 2008, pp. 1506-1514.
IEEE DOI 0810
BibRef

He, L., Greenshields, I.R.,
A Nonlocal Maximum Likelihood Estimation Method for Rician Noise Reduction in MR Images,
MedImg(28), No. 2, February 2009, pp. 165-172.
IEEE DOI 0902
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Knopp, T., Eggers, H., Dahnke, H., Prestin, J., Senegas, J.,
Iterative Off-Resonance and Signal Decay Estimation and Correction for Multi-Echo MRI,
MedImg(28), No. 3, March 2009, pp. 394-404.
IEEE DOI 0903
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Nguyen, H.M., Sutton, B.P., Morrison, Jr., R.L., Do, M.N.,
Joint Estimation and Correction of Geometric Distortions for EPI Functional MRI Using Harmonic Retrieval,
MedImg(28), No. 3, March 2009, pp. 423-434.
IEEE DOI 0903
BibRef

Chou, H.F.[Hsiao-Fang], Younes, L.[Laurent],
Smoothing Directional Vector Fields Using Dual Norms,
SIIMS(2), No. 1, 2009, pp. 41-63. diffusion tensor imaging; magnetic resonance imaging; noise removal; tensor; diffusion tensor interpolation
DOI Link BibRef 0900

Krissian, K., Aja-Fernandez, S.,
Noise-Driven Anisotropic Diffusion Filtering of MRI,
IP(18), No. 10, October 2009, pp. 2265-2274.
IEEE DOI 0909

See also Flux-based anisotropic diffusion applied to enhancement of 3-D angiogram. BibRef

Maitra, R., Faden, D.,
Noise Estimation in Magnitude MR Datasets,
MedImg(28), No. 10, October 2009, pp. 1615-1622.
IEEE DOI 0910
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Hsu, Y.C., Hsu, C.H., Tseng, W.Y.I.,
Correction for Susceptibility-Induced Distortion in Echo-Planar Imaging Using Field Maps and Model-Based Point Spread Function,
MedImg(28), No. 11, November 2009, pp. 1850-1857.
IEEE DOI 0911
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Gur, Y.[Yaniv], Pasternak, O.[Ofer], Sochen, N.A.[Nir A.],
Fast GL(n)-Invariant Framework for Tensors Regularization,
IJCV(85), No. 3, December 2009, pp. xx-yy.
Springer DOI 0911
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Gur, Y.[Yaniv], Sochen, N.A.[Nir A.],
Fast Invariant Riemannian DT-MRI Regularization,
MMBIA07(1-7).
IEEE DOI 0710
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Poot, D.H.J., den Dekker, A.J., Achten, E., Verhoye, M., Sijbers, J.[Jan],
Optimal Experimental Design for Diffusion Kurtosis Imaging,
MedImg(29), No. 3, March 2010, pp. 819-829.
IEEE DOI 1003
MRI model for non-Gaussian diffusion in tissue. BibRef

Ramos-Llorden, G.[Gabriel], Segers, H.[Hilde], Palenstijn, W.J.[Willem Jan], den Dekker, A.J.[Arnold J.], Sijbers, J.[Jan],
Partially discrete magnetic resonance tomography,
ICIP15(1653-1657)
IEEE DOI 1512
Bayesian segmentation BibRef

Qi, L.Q.[Li-Qun], Yu, G.H.[Gao-Hang], Wu, E.X.[Ed X.],
Higher Order Positive Semidefinite Diffusion Tensor Imaging,
SIIMS(3), No. 3, 2010, pp. 416-433.
DOI Link positive semidefinite diffusion tensor; apparent diffusion coefficient; Z-eigenvalue; convex optimization problem; invariants BibRef 1000

Qi, L.Q.[Li-Qun], Yu, G.H.[Gao-Hang], Xu, Y.[Yi],
Nonnegative Diffusion Orientation Distribution Function,
JMIV(45), No. 2, February 2013, pp. 103-113.
WWW Link. 1302
BibRef

Khademi, A., Venetsanopoulos, A., Moody, A.R.,
Image Enhancement and Noise Suppression for FLAIR MRIs With White Matter Lesions,
SPLetters(17), No. 12, December 2010, pp. 989-992.
IEEE DOI 1011
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Dowson, N.[Nicholas], Salvado, O.[Olivier],
Hashed Nonlocal Means for Rapid Image Filtering,
PAMI(33), No. 3, March 2011, pp. 485-499.
IEEE DOI 1102
3-D data noise filtering. Retain structure. BibRef

Ozcan, A.[Aydogan],
Minimization of Imaging Gradient Effects in Diffusion Tensor Imaging,
MedImg(30), No. 3, March 2011, pp. 642-654.
IEEE DOI 1103
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Puy, G., Vandergheynst, P., Wiaux, Y.,
On Variable Density Compressive Sampling,
SPLetters(18), No. 10, October 2011, pp. 595-598.
IEEE DOI 1109
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Davies, M., Puy, G., Vandergheynst, P., Wiaux, Y.,
A Compressed Sensing Framework for Magnetic Resonance Fingerprinting,
SIIMS(7), No. 4, 2014, pp. 2623-2656.
DOI Link 1412
BibRef

Puy, G., Marques, J.P., Gruetter, R., Thiran, J.P., van de Ville, D., Vandergheynst, P., Wiaux, Y.,
Spread Spectrum Magnetic Resonance Imaging,
MedImg(31), No. 3, March 2012, pp. 586-598.
IEEE DOI 1203
BibRef

Kim, D.W.[Dong Wook], Kim, C.[Chansoo], Kim, D.H.[Dong Hee], Lim, D.H.[Dong Hoon],
Rician nonlocal means denoising for MR images using nonparametric principal component analysis,
JIVP(2011), No. 1 2011, pp. xx-yy.
DOI Link 1203
BibRef

Ramani, S., Liu, Z., Rosen, J., Nielsen, J.F., Fessler, J.A.,
Regularization Parameter Selection for Nonlinear Iterative Image Restoration and MRI Reconstruction Using GCV and SURE-Based Methods,
IP(21), No. 8, August 2012, pp. 3659-3672.
IEEE DOI 1208
BibRef

Matakos, A., Ramani, S., Fessler, J.A.,
Accelerated Edge-Preserving Image Restoration Without Boundary Artifacts,
IP(22), No. 5, May 2013, pp. 2019-2029.
IEEE DOI 1304
BibRef

Ramani, S., Weller, D.S., Nielsen, J.F., Fessler, J.A.,
Non-Cartesian MRI Reconstruction With Automatic Regularization Via Monte-Carlo SURE,
MedImg(32), No. 8, 2013, pp. 1411-1422.
IEEE DOI 1307
Image reconstruction BibRef

Weller, D.S.,
Reconstruction with dictionary learning for accelerated parallel magnetic resonance imaging,
Southwest16(105-108)
IEEE DOI 1605
Compressed sensing BibRef

Luisier, F., Blu, T., Wolfe, P.J.,
A CURE for Noisy Magnetic Resonance Images: Chi-Square Unbiased Risk Estimation,
IP(21), No. 8, August 2012, pp. 3454-3466.
IEEE DOI 1208
BibRef

Coupe, P., Manjon, J.V., Robles, M., Collins, D.L.,
Adaptive multiresolution non-local means filter for three-dimensional magnetic resonance image denoising,
IET-IPR(6), No. 5, 2012, pp. 558-568.
DOI Link 1210
BibRef

Yap, P.T.[Pew-Thian], Shen, D.G.[Ding-Gang],
Spatial Transformation of DWI Data Using Non-Negative Sparse Representation,
MedImg(31), No. 11, November 2012, pp. 2035-2049.
IEEE DOI 1211
BibRef
Earlier:
DWI Denoising Using Spatial, Angular, and Radiometric Filtering,
MBIA12(194-202).
Springer DOI 1210
BibRef

Duits, R.[Remco], Haije, T.C.J.D.[Tom C.J. Dela], Creusen, E.J.[Eric J.], Ghosh, A.[Arpan],
Morphological and Linear Scale Spaces for Fiber Enhancement in DW-MRI,
JMIV(46), No. 3, July 2013, pp. 326-368.
Springer DOI 1306
BibRef
And: Erratum: JMIV(46), No. 3, July 2013, pp. 369.
Springer DOI 1306
BibRef
Earlier: A3, A1, A2, Only:
Numerical Schemes for Linear and Non-linear Enhancement of DW-MRI,
SSVM11(14-25).
Springer DOI 1201
BibRef

Duits, R.[Remco], Haije, T.C.J.D.[Tom C.J. Dela], Ghosh, A.[Arpan], Creusen, E.[Eric], Vilanova, A.[Anna], ter Haar Romeny, B.M.[Bart M.],
Fiber Enhancement in Diffusion-Weighted MRI,
SSVM11(1-13).
Springer DOI 1201
BibRef

Dolui, S.[Sudipto], Kuurstra, A.[Alan], Patarroyo, I.C.S.[Iván C. Salgado], Michailovich, O.V.[Oleg V.],
A new similarity measure for non-local means filtering of MRI images,
JVCIR(24), No. 7, 2013, pp. 1040-1054.
Elsevier DOI 1309
Magnetic resonance imaging BibRef

Banerjee, A.[Abhirup], Maji, P.[Pradipta],
Rough Sets for Bias Field Correction in MR Images Using Contraharmonic Mean and Quantitative Index,
MedImg(32), No. 11, 2013, pp. 2140-2151.
IEEE DOI 1312
BibRef
Earlier:
Rough Set Based Homogeneous Unsharp Masking for Bias Field Correction in MRI,
CIAP13(II:542-551).
Springer DOI 1309
BibRef
Earlier:
Contraharmonic Mean Based Bias Field Correction in MR Images,
CAIP13(523-530).
Springer DOI 1308
approximation theory BibRef

Banerjee, A.[Abhirup], Maji, P.[Pradipta],
Rough Sets and Stomped Normal Distribution for Simultaneous Segmentation and Bias Field Correction in Brain MR Images,
IP(24), No. 12, December 2015, pp. 5764-5776.
IEEE DOI 1512
biological tissues BibRef

Banerjee, A.[Abhirup], Maji, P.[Pradipta],
Spatially Constrained Student's t-Distribution Based Mixture Model for Robust Image Segmentation,
JMIV(60), No. 3, March 2018, pp. 355-381.
Springer DOI 1804
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Paul, J.S.[Joseph Suresh], Mathew, J.J.[Joshin John], Kesavadas, C.[Chandrasekhar],
MR image enhancement using an extended neighborhood filter,
JVCIR(25), No. 7, 2014, pp. 1604-1615.
Elsevier DOI 1410
Contrast enhancement BibRef

Mathew, J.J.[Joshin John], James, A.[Alex], Kesavadas, C.[Chandrasekhar], Paul, J.S.[Joseph Suresh],
Diffusion sensitivity enhancement filter for raw DWIs,
IET-CV(12), No. 7, October 2018, pp. 950-956.
DOI Link 1809
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Yang, S.[Shuo], Li, J.[Jianxun],
The design of composite adaptive morphological filter and applications to Rician noise reduction in MR images,
IJIST(25), No. 1, 2015, pp. 15-23.
DOI Link 1502
input-adaptive morphology BibRef

Algarin, J.M., Breuer, F., Behr, V.C., Freire, M.J.,
Analysis of the Noise Correlation in MRI Coil Arrays Loaded With Metamaterial Magnetoinductive Lenses,
MedImg(34), No. 5, May 2015, pp. 1148-1154.
IEEE DOI 1505
Coils BibRef

Lee, D.H.[Dong-Hoon], Hong, C.[Cheolpyo], Lee, M.W.[Man-Woo], Han, B.S.[Bong-Soo],
Signal intensity correction for multichannel MR images using radon transformation,
IJIST(25), No. 2, 2015, pp. 148-152.
DOI Link 1506
intensity correction BibRef

Lee, D.H.[Dong-Hoon], Lee, D.W.[Do-Wan], Han, B.S.[Bong-Soo],
Simple image intensity compensation (SIMIC) method prior to application of distortion correction algorithms in brain diffusion Tensor Magnetic Resonance Imaging: Validation test for two cost functions of distortion correction algorithms,
IJIST(25), No. 4, 2015, pp. 328-333.
DOI Link 1512
distortion correction BibRef

Wundrak, S., Paul, J., Ulrici, J., Hell, E., Rasche, V.,
A Small Surrogate for the Golden Angle in Time-Resolved Radial MRI Based on Generalized Fibonacci Sequences,
MedImg(34), No. 6, June 2015, pp. 1262-1269.
IEEE DOI 1506
Fibonacci sequences BibRef

Kumar, P.K.[P. Krishna], Darshan, P., Kumar, S.[Sheethal], Ravindra, R.[Rahul], Rajan, J.[Jeny], Saba, L.[Luca], Suri, J.S.[Jasjit S.],
Magnetic resonance image denoising using nonlocal maximum likelihood paradigm in DCT-framework,
IJIST(25), No. 3, 2015, pp. 256-264.
DOI Link 1509
MRI, noise, denoising, NLML, discrete cosine transform BibRef

Sudeep, P.V., Palanisamy, P., Kesavadas, C.[Chandrasekharan], Sijbers, J.[Jan], den Dekker, A.J.[Arnold J.], Rajan, J.[Jeny],
A nonlocal maximum likelihood estimation method for enhancing magnetic resonance phase maps,
SIViP(11), No. 5, July 2017, pp. 913-920.
Springer DOI 1706
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Sudeep, P.V., Palanisamy, P., Kesavadas, C.[Chandrasekharan], Rajan, J.[Jeny],
An improved nonlocal maximum likelihood estimation method for denoising magnetic resonance images with spatially varying noise levels,
PRL(139), 2020, pp. 34-41.
Elsevier DOI 2011
Denoising, Magnetic resonance imaging, Maximum likelihood estimation, Nonlocal method, Parallel MRI, Rician distribution BibRef

Riji, R., Rajan, J.[Jeny], Sijbers, J.[Jan], Nair, M.S.[Madhu S.],
Iterative bilateral filter for Rician noise reduction in MR images,
SIViP(9), No. 7, October 2015, pp. 1543-1548.
WWW Link. 1509
BibRef

Shi, F.[Feng], Cheng, J.[Jian], Wang, L.[Li], Yap, P.T.[Pew-Thian], Shen, D.G.[Ding-Gang],
LRTV: MR Image Super-Resolution With Low-Rank and Total Variation Regularizations,
MedImg(34), No. 12, December 2015, pp. 2459-2466.
IEEE DOI 1601
biomedical MRI BibRef

Kwon, K.[Kinam], Kim, D.C.[Dong-Chan], Park, H.W.[Hyun-Wook],
Multi-contrast MR image denoising for parallel imaging using multilayer perceptron,
IJIST(26), No. 1, 2016, pp. 65-75.
DOI Link 1604
denoising BibRef

Palamodov, V.,
A Method of Reduction of Artifacts of Quantitative Susceptibility Mapping,
SIIMS(9), No. 1, 2016, pp. 481-489.
DOI Link 1604
BibRef

Liu, H., Koonen, J., Fuderer, M., Heynderickx, I.,
The Relative Impact of Ghosting and Noise on the Perceived Quality of MR Images,
IP(25), No. 7, July 2016, pp. 3087-3098.
IEEE DOI 1606
biomedical MRI BibRef

Schmidt, R., Webb, A.,
Improvements in RF Shimming in High Field MRI Using High Permittivity Materials With Low Order Pre-Fractal Geometries,
MedImg(35), No. 8, August 2016, pp. 1837-1844.
IEEE DOI 1608
Geometry BibRef

Heydari, M.[Mostafa], Karami, M.R.[Mohammad-Reza], Babakhani, A.[Azizollah],
A new adaptive coupled diffusion PDE for MRI Rician noise,
SIViP(10), No. 7, October 2016, pp. 1211-1218.
Springer DOI 1609
BibRef

Bouhrara, M., Bonny, J.M., Ashinsky, B.G., Maring, M.C., Spencer, R.G.,
Noise Estimation and Reduction in Magnetic Resonance Imaging Using a New Multispectral Nonlocal Maximum-likelihood Filter,
MedImg(36), No. 1, January 2017, pp. 181-193.
IEEE DOI 1701
Brain BibRef

Martín, A.[Adrián], Schiavi, E.[Emanuele], Segura de León, S.[Sergio],
On 1-Laplacian Elliptic Equations Modeling Magnetic Resonance Image Rician Denoising,
JMIV(57), No. 2, February 2017, pp. 202-224.
Springer DOI 1702
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Zhang, X.[Xue], Hou, L.[Likun], Gao, H.[Hao], Zhang, X.[Xiaoqun],
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Collaboration, Image denoising, Noise reduction, Tensile stress, Transforms, tensor-SVD BibRef

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Histograms, Convolution, Standardization, Generative adversarial networks, Magnetic resonance imaging, weak-pair strategy BibRef

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Noise reduction, Magnetic resonance imaging, Signal to noise ratio, Transforms, White matter, Convolution, neighborhood matching BibRef

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Convolutional neural network, Deep learning, Lateral inhibition, Magnetic resonance imaging, Super-resolution BibRef

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Image segmentation, Tumors, Task analysis, Image synthesis, Magnetic resonance imaging, Image reconstruction, medical image synthesis BibRef

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Coils, Magnetic resonance imaging, Sensitivity, Noise measurement, Software, Convolutional neural networks, ultra-low field magnetic resonance imaging BibRef

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Noise reduction, Noise measurement, Magnetic resonance imaging, Mathematical models, Training, Diffusion processes, MRI BibRef

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Image reconstruction, Noise reduction, Magnetic resonance imaging, Training, Imaging, Training data, regularization by denoising BibRef

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Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
MRI, Surveys, Overviews, Evaluations .


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