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NTIS 바로가기IEEE transactions on medical imaging, v.33 no.3, 2014년, pp.668 - 681
Haldar, Justin P. (Ming Hsieh Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA)
Recent theoretical results on low-rank matrix reconstruction have inspired significant interest in low-rank modeling of MRI images. Existing approaches have focused on higher-dimensional scenarios with data available from multiple channels, timepoints, or image contrasts. The present work demonstrat...
Lam, Fan, Babacan, S. Derin, Haldar, Justin P., Weiner, Michael W., Schuff, Norbert, Liang, Zhi‐Pei. Denoising diffusion‐weighted magnitude MR images using rank and edge constraints. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine, vol.71, no.3, 1272-1284.
Proc ISMRM Workshop Data Sampl Image Reconstruct Calibrationless chemical shift encoded imaging trzasko 2013
Proc ISMRM Workshop Data Sampl Image Reconstruct Fast 3-D DCE-MRI with sparsity and low-rank enhanced SPIRiT (SLR-SPIRiT) zhang 2013
Majumdar, A.. Improved dynamic MRI reconstruction by exploiting sparsity and rank-deficiency. Magnetic resonance imaging, vol.31, no.5, 789-795.
Proc ISMRM Workshop Data Sampl Image Reconstruct Low-rank and sparse matrix decomposition for accelerated DCE-MRI with background and contrast separation otazo 2013
Proc Int Soc Magn Reson Med Compressed sensing using prior rank, intensity and sparsity model (PRISM): Applications in cardiac cine MRI gao 2012 2242
Nguyen, Hien M., Peng, Xi, Do, Minh N., Liang, Zhi-Pei. Denoising MR Spectroscopic Imaging Data With Low-Rank Approximations. IEEE transactions on bio-medical engineering, vol.60, no.1, 78-89.
Proc Int Soc Magn Reson Med CLEAR: Calibration-free parallel imaging using locally low-rank encouraging reconstruction trzasko 2012 517
Proc Int Soc Magn Reson Med Post-Cartesian calibrationless parallel imaging reconstruction by structured low-rank matrix completion lustig 2011 483
Proc Int Soc Magn Reson Med Calibrationless parallel imaging reconstruction by structured low-rank matrix completion lustig 2010 2870
Zhou Wang, Bovik, A.C.. Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures. IEEE signal processing magazine, vol.26, no.1, 98-117.
Bydder, M., Hamilton, G., Yokoo, T., Sirlin, C.B.. Optimal phased-array combination for spectroscopy. Magnetic resonance imaging, vol.26, no.6, 847-850.
Huang, F., Vijayakumar, S., Li, Y., Hertel, S., Duensing, G.R.. A software channel compression technique for faster reconstruction with many channels. Magnetic resonance imaging, vol.26, no.1, 133-141.
Haldar, J P, Hernando, D, Zhi-Pei Liang. Compressed-Sensing MRI With Random Encoding. IEEE transactions on medical imaging, vol.30, no.4, 893-903.
Proc Int Soc Magn Reson Med Local versus global low-rank promotion in dynamic MRI series reconstruction trzasko 2011 4371
IEEE Trans Med Imag Accelerated dynamic MRI exploiting sparsity and low-rank structure: k-t SLR lingala 2011 10.1109/TMI.2010.2100850 30 1042
Constrained Imaging Denoising and Sparse Sampling haldar 2011
Rev Magn Reson Med Constrained reconstruction methods in MR imaging liang 1992 4 67
Noll, D.C., Nishimura, D.G., Macovski, A.. Homodyne detection in magnetic resonance imaging. IEEE transactions on medical imaging, vol.10, no.2, 154-163.
Recht, B., Fazel, M., Parrilo, P.A.. Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization. SIAM review, vol.52, no.3, 471-502.
Huang, Feng, Lin, Wei, Li, Yu. Partial fourier reconstruction through data fitting and convolution in k-space. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine, vol.62, no.5, 1261-1269.
Donoho, D.L.. Compressed sensing. IEEE transactions on information theory, vol.52, no.4, 1289-1306.
Candes, E.J., Romberg, J., Tao, T.. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information. IEEE transactions on information theory, vol.52, no.2, 489-509.
Pan, S., Kak, A.. A computational study of reconstruction algorithms for diffraction tomography: Interpolation versus filtered-backpropagation. IEEE transactions on acoustics, speech, and signal processing, vol.31, no.5, 1262-1275.
10.1002/1522-2594(200010)44:4<602::AID-MRM14>3.0.CO;2-5
Lanczos bidiagonalization with partial reorthogonalization larsen 1998
Hunter, David R, Lange, Kenneth. A Tutorial on MM Algorithms. The American statistician, vol.58, no.1, 30-37.
Bo Zhao, Haldar, J. P., Christodoulou, A. G., Zhi-Pei Liang. Image reconstruction from highly undersampled (k, t)-space data with joint partial separability and sparsity constraints. IEEE transactions on medical imaging, vol.31, no.9, 1809-1820.
Cadzow, J.A.. Signal enhancement-a composite property mapping algorithm. IEEE transactions on acoustics, speech, and signal processing, vol.36, no.1, 49-62.
Haldar, J.P., Hernando, D.. Rank-Constrained Solutions to Linear Matrix Equations Using PowerFactorization. IEEE signal processing letters, vol.16, no.7, 584-587.
Eckart, Carl, Young, Gale. The approximation of one matrix by another of lower rank. Psychometrika, vol.1, no.3, 211-218.
10.1002/(SICI)1522-2594(199904)41:4<774::AID-MRM17>3.0.CO;2-D
Cao, Yue, Levin, David N.. Feature‐recognizing MRI. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine, vol.30, no.3, 305-317.
Cao, Yue, Levin, David N.. Acquisition and reconstruction of the principal components of an image: A novel MRI technique for reducing scanning time. International journal of imaging systems and technology, vol.6, no.2, 191-202.
Proc Int Soc Magn Reson Med Improving rank constrained reconstructions using prior information with reordering adluru 2012 2248
Cheung, Kwan F., Marks, Robert J.. Imaging sampling below the Nyquist density without aliasing. Journal of the Optical Society of America. A, Optics and image science, vol.7, no.1, 92-.
Plevritis, S.K., Macovski, A.. Spectral extrapolation of spatially bounded images [MRI application]. IEEE transactions on medical imaging, vol.14, no.3, 487-497.
Tsao, Jeffrey, Boesiger, Peter, Pruessmann, Klaas P.. k-t BLAST and k-t SENSE: Dynamic MRI with high frame rate exploiting spatiotemporal correlations. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine, vol.50, no.5, 1031-1042.
Sharif, Behzad, Derbyshire, J. Andrew, Faranesh, Anthony Z., Bresler, Yoram. Patient‐adaptive reconstruction and acquisition in dynamic imaging with sensitivity encoding (PARADISE). Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine, vol.64, no.2, 501-513.
Proc Int Soc Magn Reson Med Dynamic imaging by temporal modeling with principal component analysis gupta 2001 10
Health Care Instrum Faster MR imaging: imaging with half the data margosian 1986 1 195
Lustig, Michael, Pauly, John M.. SPIRiT: Iterative self‐consistent parallel imaging reconstruction from arbitrary k‐space. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine, vol.64, no.2, 457-471.
Griswold, Mark A., Jakob, Peter M., Heidemann, Robin M., Nittka, Mathias, Jellus, Vladimir, Wang, Jianmin, Kiefer, Berthold, Haase, Axel. Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine, vol.47, no.6, 1202-1210.
IEEE Trans Med Imag Application of autoregressive moving average parametric modeling in magnetic resonance image reconstruction smith 1986 10.1109/TMI.1986.4307762 5 132
Zhang, Jian, Liu, Chunlei, Moseley, Michael E.. Parallel reconstruction using null operations. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine, vol.66, no.5, 1241-1253.
Martin, Joel F, Tirendi, Charles F. Modified linear prediction modeling in magnetic resonance imaging. Journal of magnetic resonance, vol.82, no.2, 392-399.
Barone, P., Sebastiani, G.. A new method of magnetic resonance image reconstruction with short acquisition time and truncation artifact reduction. IEEE transactions on medical imaging, vol.11, no.2, 250-259.
Andrews, H., Patterson, C.. Singular Value Decomposition (SVD) Image Coding. IEEE transactions on communications, vol.24, no.4, 425-432.
10.1002/(SICI)1098-1098(199622)7:2<136::AID-IMA10>3.0.CO;2-#
Proc ISMRM Workshop Data Sampl Image Reconstruct Calibrationless partial Fourier reconstruction of MR images with slowly-varying phase: A rank-deficient matrix recovery approach haldar 2013
Feng Zhao, Noll, D. C., Nielsen, J-F, Fessler, J. A.. Separate Magnitude and Phase Regularization via Compressed Sensing. IEEE transactions on medical imaging, vol.31, no.9, 1713-1723.
Majumdar, A., Ward, R.K.. An algorithm for sparse MRI reconstruction by Schatten p-norm minimization. Magnetic resonance imaging, vol.29, no.3, 408-417.
Dologlou, I., van Ormondt, D., Carayannis, G.. MRI scan time reduction through non-uniform sampling and SVD-based estimation. Signal processing : the official publication of the European Association for Signal Processing (EURASIP), vol.55, no.2, 207-219.
Proc Int Soc Magn Reson Med Accelerated fMRI using low-rank model and sparsity constraints lam 2013 2620
Proc Int Soc Magn Reson Med Compressive diffusion MRI?Part 1: Why low rank? gao 2013 610
Lustig, Michael, Donoho, David, Pauly, John M.. Sparse MRI: The application of compressed sensing for rapid MR imaging. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine, vol.58, no.6, 1182-1195.
Proc Int Soc Magn Reson Med Model-based reconstruction for physiological noise correction in functional MRI muckley 2013 2623
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