Accelerating T2 mapping of the brain by integrating deep learning priors with low‐rank and sparse modeling
暂无分享,去创建一个
Zhi-Pei Liang | Yao Li | Yibo Zhao | Rong Guo | Yue Guan | Yudu Li | Tianyao Wang | Brad Sutton | Ziyu Meng | Zhi-Pei Liang | Yao Li | Yibo Zhao | Yudu Li | Rong Guo | Ziyu Meng | Tianyao Wang | Yue Guan | Brad Sutton
[1] Peter Gibbs,et al. Comparison of quantitative T2 mapping and diffusion‐weighted imaging in the normal and pathologic prostate , 2001, Magnetic resonance in medicine.
[2] Yoshua Bengio,et al. Deep Sparse Rectifier Neural Networks , 2011, AISTATS.
[3] Zhi-Pei Liang,et al. Spatiotemporal Imaging with Partially Separable Functions , 2007, 2007 Joint Meeting of the 6th International Symposium on Noninvasive Functional Source Imaging of the Brain and Heart and the International Conference on Functional Biomedical Imaging.
[4] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Gary H. Glover,et al. Fast algorithms for GS-model-based image reconstruction in data-sharing Fourier imaging , 2003, IEEE Transactions on Medical Imaging.
[6] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[7] S. Meindl,et al. Brain tumors: detection and typing by use of CPMG sequences and in vivo T2 measurements. , 1985, Radiology.
[8] Ronald J. Killiany,et al. Whole brain quantitative T2 MRI across multiple scanners with dual echo FSE: Applications to AD, MCI, and normal aging , 2010, NeuroImage.
[9] D. Donoho,et al. Sparse MRI: The application of compressed sensing for rapid MR imaging , 2007, Magnetic resonance in medicine.
[10] Zhi-Pei Liang,et al. Accelerated MR parameter mapping with low‐rank and sparsity constraints , 2015, Magnetic resonance in medicine.
[11] Rajesh Kumar,et al. Development of T2-relaxation values in regional brain sites during adolescence. , 2011, Magnetic resonance imaging.
[12] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[13] J. Duerk,et al. Magnetic Resonance Fingerprinting , 2013, Nature.
[14] Danilo Comminiello,et al. A Multimodal Deep Network for the Reconstruction of T2W MR Images , 2019, IIH-MSP.
[15] Shaohua Kevin Zhou,et al. Unsupervised Cross-Modal Synthesis of Subject-Specific Scans , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[16] R. Damadian. Tumor Detection by Nuclear Magnetic Resonance , 1971, Science.
[17] Zhi-Pei Liang,et al. Anatomically constrained reconstruction from noisy data , 2008, Magnetic resonance in medicine.
[18] Lei Yuan,et al. Parallel imaging: some signal processing issues and solutions , 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).
[19] Joaquim Mullol,et al. In vivo magnetic resonance imaging characterization of bilateral structural changes in experimental Parkinson’s disease: a T2 relaxometry study combined with longitudinal diffusion tensor imaging and manganese‐enhanced magnetic resonance imaging in the 6‐hydroxydopamine rat model , 2011, The European journal of neuroscience.
[20] Kim Mouridsen,et al. Elevated T2-values in MRI of stroke patients shortly after symptom onset do not predict irreversible tissue infarction. , 2012, Brain : a journal of neurology.
[21] O. Simonetti,et al. T2 quantification for improved detection of myocardial edema , 2009, Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance.
[22] Mariya Doneva,et al. Compressed sensing reconstruction for magnetic resonance parameter mapping , 2010, Magnetic resonance in medicine.
[23] Lawrence L. Wald,et al. Maximum likelihood reconstruction for magnetic resonance fingerprinting , 2016, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).
[24] G. Barker,et al. Variations in T1 and T2 relaxation times of normal appearing white matter and lesions in multiple sclerosis , 2000, Journal of the Neurological Sciences.
[25] Bin Yang,et al. MedGAN: Medical Image Translation using GANs , 2018, Comput. Medical Imaging Graph..
[26] Z P Liang,et al. A generalized series approach to MR spectroscopic imaging. , 1991, IEEE transactions on medical imaging.
[27] Francesco Renna,et al. On instabilities of deep learning in image reconstruction and the potential costs of AI , 2019, Proceedings of the National Academy of Sciences.
[28] J. Pauly,et al. Accelerating parameter mapping with a locally low rank constraint , 2015, Magnetic resonance in medicine.
[29] Xavier Golay,et al. Routine clinical brain MRI sequences for use at 3.0 Tesla , 2005, Journal of magnetic resonance imaging : JMRI.
[30] Yong Chen,et al. Deep-Learning-Based Multi-Modal Fusion for Fast MR Reconstruction , 2019, IEEE Transactions on Biomedical Engineering.
[31] Kim Mouridsen,et al. Quantitative t2 values predict time from symptom onset in acute stroke patients. , 2009, Stroke.
[32] Kawin Setsompop,et al. Echo planar time‐resolved imaging with subspace reconstruction and optimized spatiotemporal encoding , 2019, Magnetic resonance in medicine.
[33] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[34] Zhi-Pei Liang,et al. SPATIOTEMPORAL IMAGINGWITH PARTIALLY SEPARABLE FUNCTIONS , 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[35] Junfeng Yang,et al. Alternating Direction Algorithms for 1-Problems in Compressive Sensing , 2009, SIAM J. Sci. Comput..
[36] Kawin Setsompop,et al. Echo planar time‐resolved imaging (EPTI) , 2019, Magnetic resonance in medicine.
[37] Ralf Deichmann,et al. Quantitative in vivo T2 mapping using fast spin echo techniques – A linear correction procedure , 2017, NeuroImage.
[38] T. Peters,et al. High‐resolution T1 and T2 mapping of the brain in a clinically acceptable time with DESPOT1 and DESPOT2 , 2005, Magnetic resonance in medicine.
[39] Paaladinesh Thavendiranathan,et al. Improved Detection of Myocardial Involvement in Acute Inflammatory Cardiomyopathies Using T2 Mapping , 2012, Circulation. Cardiovascular imaging.
[40] Vikas Gulani,et al. Fast 3D magnetic resonance fingerprinting for a whole‐brain coverage , 2018, Magnetic resonance in medicine.
[41] Justin P. Haldar,et al. Spatiotemporal imaging with partially separable functions: A matrix recovery approach , 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.
[42] Justin P. Haldar,et al. Image Reconstruction From Highly Undersampled $( {\bf k}, {t})$-Space Data With Joint Partial Separability and Sparsity Constraints , 2012, IEEE Transactions on Medical Imaging.
[43] Nicole Seiberlich,et al. Parallel MR imaging , 2012, Journal of magnetic resonance imaging : JMRI.
[44] Zhi-Pei Liang,et al. Accelerated High-Dimensional MR Imaging With Sparse Sampling Using Low-Rank Tensors , 2016, IEEE Transactions on Medical Imaging.
[45] Subha V Raman,et al. Improved detection of cardiac sarcoidosis using magnetic resonance with myocardial T2 mapping. , 2014, American journal of respiratory and critical care medicine.
[46] Andrea Vedaldi,et al. Instance Normalization: The Missing Ingredient for Fast Stylization , 2016, ArXiv.
[47] Yrjö Hiltunen,et al. Estimation of the Onset Time of Cerebral Ischemia Using T1&rgr; and T2 MRI in Rats , 2010, Stroke.
[48] A. Alexander,et al. Accelerating MR parameter mapping using sparsity‐promoting regularization in parametric dimension , 2013, Magnetic resonance in medicine.
[49] Li Feng,et al. MANTIS: Model‐Augmented Neural neTwork with Incoherent k‐space Sampling for efficient MR parameter mapping , 2019, Magnetic resonance in medicine.
[50] John Ashburner,et al. A fast diffeomorphic image registration algorithm , 2007, NeuroImage.