Publications

Selected Journal Publications

X. Peng, D. Wang, D. Borup, G. Krishnamoorthy, J.G. Pipe, “Simultaneous Brain and Neck Time of Flight MRA Using Spiral Multiband with Localized Quadratic Encoding”, Magnetic Resonance in Medicine, DOI: 10.1002/mrm.30098. In press.

Y. Guan, Y. Li, Z. Ke, X. Peng, R. Liu, Y. Li, Y.P. Du, and Z.P. Liang, "Learning-Assisted Fast Determination of Regularization Parameter in Constrained Image Reconstruction," in IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2024.3367762.

R. Zhao, X. Peng, V. A. Kelkar, M. A. Anastasio and F. Lam, "High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models," in IEEE Transactions on Biomedical Engineering, doi: 10.1109/TBME.2024.3358223.

L. Tang, Y. Zhao, Y. Li, R. Guo, B. Cai, J. Wang, Y. Li, Z.-P. Liang, X. Peng*, J Luo*, “JSENSE-Pro: Joint Sensitivity Estimation and Image Reconstruction in Parallel Imaging Using Pre-Learned Subspaces of Coil Sensitivity Functions”, Magnetic Resonance in Medicine, 2022, doi: 10.1002/mrm.29548. (*co-corresponding author)

T.C. Chao, X. Peng, D. Wang, J.G. Pipe, “Evaluating efficient SENSE algorithms to deblur spiral MRI with fat/water separation”, Magnetic Resonance in Medicine. 2023; 1-8. doi: 10.1002/mrm.29773

F. Lam, X. Peng, and Z.-P. Liang, “High-Dimensional MR Spatiospectral Imaging by Integrating Physics-Based Modeling and Data-Driven Machine Learning”, IEEE Signal Processing Magazine. 40(2): 101-115, 2023.

X. Zhang, H. Lu, D. Guo, Z. Lai, H. Ye, X. Peng, B. Zhao, X. Qu, “Accelerated MRI reconstruction with separable and enhanced low-rank Hankel regularization”, IEEE Trans Med Imaging. 41(9): 2486 – 2498, 2022.

X. Peng*, B. Sutton, F. Lam, Z.P. Liang, “DeepSENSE: Learning Coil Sensitivity Functions for SENSE Reconstruction Using Deep Learning”, Magnetic Resonance in Medicine. 2021. doi:10.1002/mrm.29085. (Editor’s Pick)

X. Peng*, Y. Sui, J. Trzasko, K.J. Glaser, J. Huston III, R.L. Ehman, J.G. Pipe, “Fast 3D MR Elastography of the Whole-Brain Using Spiral Staircase: Data Acquisition, Image Reconstruction and Joint Deblurring”, Magnetic Resonance in Medicine. 86(4):2011-2024, 2021.

Y. Zhu, Y. Liu, L.Ying, Z. Qiu, Q Liu, S. Jia, H. Wang, X. Peng, X. Liu, H. Zheng, D. Liang, “A 4-minute solution for submillimeter whole-brain T1-rho quantification”, Magnetic Resonance in Medicine, 85(6):3299-3307, 2021.

F. Lam, Y. Li, X. Peng, “Constrained Magnetic Resonance Spectroscopic Imaging by Learning Nonlinear Low-Dimensional Models”, IEEE Trans Med Imaging. 39(3): 545-555, 2019.

Q. Zhu, W. Wang, J. Cheng, X. Peng, “Incorporating reference guided priors into calibration less parallel imaging reconstruction”, Magnetic Resonance Imaging, Volume 57, April 2019, Pages 347-358.

Y. Zhu^†, X. Peng^†, Y. Wu, Ed X. Wu, L. Ying, X. Liu, H. Zheng, D. Liang， "Direct Diffusion Tensor Estimation Using Model-Based Method with Spatial and Parametric Constraints ", Medical Physics, DOI: 10.1002/mp.12054, 2017. (^†co-first author)

X. Peng, L. Ying, Y. Liu, J. Yuan, X. Liu, D. Liang. "Accelerated Exponential Parameterization of T2 Relaxation with Model-Driven Low Rank and Sparsity Priors (MORASA)", Magnetic Resonance in Medicine, 76(6), pp. 1865-1878, 2016.

X. Peng, L. Ying, Q. Liu, Y. Zhu, Y. Liu, X. Qu, X. Liu, H. Zheng, D. Liang. "Incorporating reference in parallel imaging and compressed sensing", Magnetic Resonance in Medicine. 73(4), pp. 1490–1504, 2015.

X. Peng, D. Liang. "MR Image Reconstruction with Convolutional Characteristic Constraint", IEEE Signal Processing Letters. Aug. 2015, vol. 22, no. 8, pp: 1184-1188.

X. Peng, X. Liu, H. Zheng and D. Liang. "Exploiting Parameter Sparsity in Model-based Reconstruction to Accelerate Proton Density and T2 Mapping", Medical Engineering and Physics, 2014, vol. 3, pp: 1428-1435.

H. Nguyen, X. Peng, M. Do, Z.-P. Liang, "Denoising of MR Spectroscopic Imaging Data with Low-Rank Approximations," IEEE Transactions on Biomedical Engineering, 2013, vol 60(1): 78-89.

Q. Liu, S. Wang, L. Ying, X. Peng, Y. Zhu, D. Liang, "Adaptive dictionary learning in sparse gradient domain for image recovery", IEEE Transactions on Image Processing, 22(12), 4652-4663, 2013.

Conference Oral Presentations

X. Peng, F. Lam, “A Generative Subspace Model for High-dimensional MR Imaging”, the Annual Meeting of ISMRM, 2023.

X. Peng, “Constrained Dipole Inversion Using Jointly Learned Local Field and Susceptibility Priors”, the Annual Meeting of ISMRM, 2023.

X. Peng, D. Wang, D. Borup, G. Krishnamoorthy, J. Pipe, “Simultaneous Brain and Neck Time of Flight using Spiral Multiband with Localized Quadratic Encoding”, the Annual Meeting of ISMRM, 2023. (Power pitch)

X. Peng, Y. Sui, S. Ganji, A. Anderson, J. Huston, R. Ehman, J. Pipe. Fast Whole-Brain MR Elastography Using 3D GRE Multishot Variable Density Spiral Staircase Acquisition, the 28th Annual Meeting of ISMRM, Paris, France, 2020.

X. Peng, J. Pipe. Simultaneous QSM and MR Elastography of the Brain Using Spiral Staircase, the 28th Annual Meeting of ISMRM, Paris, France, 2020.

Y. Li, X. Peng, F. Lam. Learning Nonlinear Low-Dimensional Models for MR Spectroscopic Imaging Using Neural Networks, the 27th Annual Meeting of ISMRM, Montreal, Canada, 2019.

X. Peng, Y. Li, F. Lam, R. Guo, B. Clifford, Z.-P. Liang, "Constrained Dipole Inversion for Quantitative Susceptibility Mapping Using a 'Kernel+Sparse' Model", the 26th Annual Meeting of ISMRM, Paris, France, 2018.

B. Sutton, X. Peng, F. Lam, ZP Liang. “Low-Rank Methods”, Proc. 26th Annual Meeting of ISMRM, Paris, France, 2018. (Educational lecture)

Y. Li, F. Lam, B. Clifford, X. Peng, Z.-P. Liang, "Constrained MRSI Reconstruction Using Water Side Information with a Kernel-Based Method", Proc. 26th Annual Meeting of ISMRM, Paris, France, 2018.

F. Lam, Y. Li, B. Clifford, X. Peng, Z.-P. Liang, "Further Accelerating SPICE for Ultrafast MRSI Using Learned Spectral Features", Proc. 26th Annual Meeting of ISMRM, Paris, France, 2018.

Zhi-Pei Liang, Yudu Li, Xi Peng, Bryan Clifford, Fan Lam, Yiping Du*, Yao Li. A Marriage of Spin Physics with Machine Learning for Ultrafast MRSI: Method and Applications. The 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Lecture Presentation.

X. Peng, F. Lam, B. Clifford, Y. Li, Z.-P. Liang. Quantitative Susceptibility Mapping from Unsuppressed Water Signals in 1H-MRSI Data. Proc. 25th Annual Meeting of ISMRM, Hawaii, USA, 2017.

F. Lam, Y. Li, B. Clifford, X. Peng, Z.-P. Liang. Simultaneous Mapping of Brain Metabolites, Macromolecules and Tissue Susceptibility Using SPICE. Proc. 25th Annual Meeting of ISMRM, Hawaii, USA, 2017.

S. Wang, Z. Su, L. Ying, X. Peng, S. Zhu, F. Liang, D.D. Feng, D. Liang. "Accelerating magnetic resonance imaging via deep learning", IEEE International Symposium Biomedical Imaging: From Nano to Macro, Czech Republic, pp. 514-517, 2016.

X. Peng, Q. Zhu, S. Wang, D. Liang. "Reference Guided CS-MRI with Gradient Orientation Priors", Proc. 37th Annual International Meeting of the IEEE Engineering in Medicine and Biology Society, Milano, Italy, 2015, pp. 7498 - 7501.

C. Wang, X. Peng, D. Liang, Y. Xiao, W. Qiu, M. Qian, H. zheng. "An Easily-Achieved Time-Domain Beamformer for Ultrafast Ultrasound Imaging Based on Compressive Sensing", Proc. 37th Annual International Meeting of the IEEE Engineering in Medicine and Biology Society, Milano, Italy, pp. 7490-7493, 2015.

X. Peng, D. Liang, “Diffusion tensor MR imaging denoising with image and eigen-value sparsity constraint”, 2015 SPIE Wavelets and Sparsity XVI.

X. Peng, X. Liu, H. Zheng and D. Liang. "Exploiting Parameter Sparsity in Model-based Reconstruction to Accelerate Proton Density and T2 Mapping", the 6th WACBE World Congress on Bioengineering.

S. D. Babacan, Fan Lam, X. Peng, M. Do, Z.-P. Liang, "Interventional MRI with Spase Sampling using Union-of-Subspaces", Proc. IEEE International Symposium Biomedical Imaging, pp. 314-317, 2012.

H. Nguyen, X. Peng, M. Do, Z.-P. Liang, "Spatiotemporal Denoising of MR Spectroscopic Imaging Data by Low-rank Approximations," Proc. IEEE International Symposium Biomedical Imaging, Chicago, Illinois, pp. 857-860, 2011.

S. D. Babacan, X. Peng, X.-P. Wang, M. Do, Z.-P. Liang, "Reference-Guided Sparsifying Transform Design for Compressive Sensing MRI," Proc. 32th Annual International Meeting of the IEEE Engineering in Medicine and Biology Society, Boston, Massachusetts, 2011.

X. Peng, H. Nguyen, J.P. Haldar, D. Hernando, X.-P. Wang, Z.-P. Liang, "Correction of Field Inhomogeneity Effects in Limited k-Space Coverage MRSI Data with Anatomical Constraint," Proc. 32th Annual International Meeting of the IEEE Engineering in Medicine and Biology Society, Buenos Aires,pp. 883-886, 2010.