Super-Resolution 1H Magnetic Resonance Spectroscopic Imaging Utilizing Deep Learning
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Steve B. Jiang | Wolfgang Bogner | Dan Nguyen | Steve Jiang | Gilbert Hangel | D. Nguyen | W. Bogner | Zohaib Iqbal | G. Hangel | Stanislav Motyka | Zohaib Iqbal | Stanislav Motyka | S. Motyka
[1] Albert P. Chen,et al. Compressed sensing for resolution enhancement of hyperpolarized 13C flyback 3D-MRSI. , 2008, Journal of magnetic resonance.
[2] W. Bogner,et al. High‐resolution mapping of human brain metabolites by free induction decay 1H MRSI at 7 T , 2012, NMR in Biomedicine.
[3] Z P Liang,et al. A generalized series approach to MR spectroscopic imaging. , 1991, IEEE transactions on medical imaging.
[4] Ricardo Otazo,et al. Accelerated short‐TE 3D proton echo‐planar spectroscopic imaging using 2D‐SENSE with a 32‐channel array coil , 2007, Magnetic resonance in medicine.
[5] Norbert Schuff,et al. Improved Model-Based Magnetic Resonance Spectroscopic Imaging , 2007, IEEE Transactions on Medical Imaging.
[6] Martín Abadi,et al. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems , 2016, ArXiv.
[7] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] P. Boesiger,et al. SENSE: Sensitivity encoding for fast MRI , 1999, Magnetic resonance in medicine.
[9] A. Macovski,et al. Volumetric spectroscopic imaging with spiral‐based k‐space trajectories , 1998, Magnetic resonance in medicine.
[10] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[11] Haim Azhari,et al. Super-resolution in PET imaging , 2006, IEEE Transactions on Medical Imaging.
[12] S. Provencher. Estimation of metabolite concentrations from localized in vivo proton NMR spectra , 1993, Magnetic resonance in medicine.
[13] Quoc V. Le,et al. Don't Decay the Learning Rate, Increase the Batch Size , 2017, ICLR.
[14] B. Meier,et al. Computer Simulations in Magnetic Resonance. An Object-Oriented Programming Approach , 1994 .
[15] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.
[16] Bryan A. Clifford,et al. High‐resolution dynamic 31P‐MRSI using a low‐rank tensor model , 2017, Magnetic resonance in medicine.
[17] Maria del C. Valdés Hernández,et al. Super Resolution Convolutional Neural Networks for Increasing Spatial Resolution of ^1 H Magnetic Resonance Spectroscopic Imaging , 2017, MIUA.
[18] Dimitri Van De Ville,et al. Magnetic resonance spectroscopic imaging at superresolution: Overview and perspectives. , 2016, Journal of magnetic resonance.
[19] Costin Tanase,et al. Rosette spectroscopic imaging: Optimal parameters for alias‐free, high sensitivity spectroscopic imaging , 2009, Journal of magnetic resonance imaging : JMRI.
[20] M. Thomas,et al. Spectroscopic imaging using concentrically circular echo‐planar trajectories in vivo , 2012, Magnetic resonance in medicine.
[21] J. Frahm,et al. Regional metabolite concentrations in human brain as determined by quantitative localized proton MRS , 1998, Magnetic resonance in medicine.
[22] K P Pruessmann,et al. Sensitivity‐encoded spectroscopic imaging , 2001, Magnetic resonance in medicine.
[23] M. Law,et al. Magnetic resonance spectroscopy of the brain: review of metabolites and clinical applications. , 2009, Clinical radiology.
[24] Wolfgang Bogner,et al. Density‐weighted concentric circle trajectories for high resolution brain magnetic resonance spectroscopic imaging at 7T , 2017, Magnetic resonance in medicine.
[25] Sotirios A. Tsaftaris,et al. Medical Image Computing and Computer Assisted Intervention , 2017 .
[26] Gioacchino Tedeschi,et al. High Speed 1H Spectroscopic Imaging in Human Brain by Echo Planar Spatial‐Spectral Encoding , 1995, Magnetic resonance in medicine.
[27] Zohaib Iqbal,et al. 3D spatially encoded and accelerated TE‐averaged echo planar spectroscopic imaging in healthy human brain , 2016, NMR in biomedicine.
[28] P. Larson,et al. Metabolic Imaging of Patients with Prostate Cancer Using Hyperpolarized [1-13C]Pyruvate , 2013, Science Translational Medicine.
[29] Ricardo Otazo,et al. MR spectroscopic imaging: Principles and recent advances , 2013, Journal of magnetic resonance imaging : JMRI.
[30] Theodoros N. Arvanitis,et al. A constrained least‐squares approach to the automated quantitation of in vivo 1H magnetic resonance spectroscopy data , 2011, Magnetic resonance in medicine.
[31] Fan Lam,et al. A subspace approach to high‐resolution spectroscopic imaging , 2014, Magnetic resonance in medicine.
[32] Cecilia Possanzini,et al. 31P MRSI and 1H MRS at 7 T: initial results in human breast cancer , 2011, NMR in biomedicine.
[33] Nima Hatami,et al. Magnetic Resonance Spectroscopy Quantification using Deep Learning , 2018, MICCAI.
[34] Saadallah Ramadan,et al. Glutamate and glutamine: a review of in vivo MRS in the human brain , 2013, NMR in biomedicine.
[35] Brian L. Burns,et al. Accelerated five‐dimensional echo planar J‐resolved spectroscopic imaging: Implementation and pilot validation in human brain , 2016, Magnetic resonance in medicine.
[36] M. Weiner,et al. Phosphorus-31 MR spectroscopic imaging (MRSI) of normal and pathological human brains. , 1992, Magnetic resonance imaging.
[37] Wolfgang Bogner,et al. Ultra-high resolution brain metabolite mapping at 7 T by short-TR Hadamard-encoded FID-MRSI , 2016, NeuroImage.
[38] John G. Csernansky,et al. Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults , 2007, Journal of Cognitive Neuroscience.
[39] Sabine Van Huffel,et al. Patch-Based Super-Resolution of MR Spectroscopic Images: Application to Multiple Sclerosis , 2017, Front. Neurosci..
[40] V. Govindaraju,et al. Proton NMR chemical shifts and coupling constants for brain metabolites , 2000, NMR in biomedicine.
[41] Kawin Setsompop,et al. Fast image reconstruction with L2‐regularization , 2013, Journal of magnetic resonance imaging : JMRI.
[42] K. Uğurbil,et al. NMR chemical shift imaging in three dimensions. , 1982, Proceedings of the National Academy of Sciences of the United States of America.
[43] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[44] W. Bogner,et al. (2 + 1)D‐CAIPIRINHA accelerated MR spectroscopic imaging of the brain at 7T , 2016, Magnetic resonance in medicine.
[45] Robin M Heidemann,et al. Generalized autocalibrating partially parallel acquisitions (GRAPPA) , 2002, Magnetic resonance in medicine.
[46] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[47] Zhi-Pei Liang,et al. Anatomically constrained reconstruction from noisy data , 2008, Magnetic resonance in medicine.
[48] P C Lauterbur,et al. SLIM: Spectral localization by imaging , 1988, Magnetic resonance in medicine.
[49] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[50] P Mansfield,et al. Spatial mapping of the chemical shift in NMR , 1983, Magnetic resonance in medicine.
[51] Lawrence D. Jackel,et al. Backpropagation Applied to Handwritten Zip Code Recognition , 1989, Neural Computation.