PI: Xiaopeng Zong

PI: Xiaopeng Zong

Assistant Professor

Publications

2026

  1. J. Lu, T. Yu, S. Wei, Y. Lin, J. Ning, J. Ai, W. Zhang, J. Zhu, S. Qiu, X. Zong, Visibility of Penetrating Arteries within Perivascular Spaces in White Matter at 5 T, Biomedical Engineering Communications, in press (2026).
  2. J. Ning, Y. Li, X. Lin, X. Zong, Effects of acupoint pressure stimulation on the fatigue recovery ability of the calf muscle, European Journal of Applied Physiology, doi:10.1007/s00421-026-06185-x (2026).
  3. J. Zhang, X. Kong, X. Lin, Y. Li, J. Zhang, X. Zong, Deep learning-based perfusion quantification and large vessel exclusion for renal multi-TI arterial spin labelling MRI, Magnetic Resonance Imaging, 126:110573 (2026).

2025

  1. X. Wang, Y. Xiong, X. Liu, X. Zong, C. Duan, Y. Wu, X. Bian, S. Wang, J. Hu, L. Zhang, H. Lu, B. Zhao, J. Huang, Y. Li, Z. Li, Z. Dong, X. Lou， Subcortical nuclei and glymphatic system alterations in migraine with aura: a comparative 7T multimodal MRI analysis, J Headache Pain, 27(1):22 (2025).
  2. T. Yu, S. Wei, J. Zhu, X. Ye, and X. Zong, Posture Dependence of Cerebral Spinal Fluid and Blood Flow by Phase Contrast MRI at 3T, NMR in Biomedicine, 38:e70157 (2025).
  3. W. Zeng, Y. Li, J. Zhang, T. Chen, K. Wu, X. Zong, A deep learning approach for quantifying CT perfusion parameters in stroke, Biomed Phys Eng Express, 11(3). doi: 10.1088/2057-1976/adc9b6, (2025).
  4. B. Zhao, Y. Zhou, X. Zong, Accuracies of four simulation approaches in reproducing motion artifacts and morphometric parameter biases, Magnetic Resonance Materials in Physics, Biology and Medicine, 38:845, (2025).
  5. Y. Zhou, B. Zhao, J. Moore, X. Zong, Automatic Segmentation and Diameter Measurement of Deep Medullary Veins, Magn. Reson. Med., 93:1380-1393 (2025).

2024

  1. Y. Liu, K. Sun, H. Qi, J. Yang, X. Zong, Y. Pan, Y. Gu, S. He, H. Zhang, Y. Zhang, and D. Shen，SRM-Net: Joint Sampling and Reconstruction and Mapping Network for Accelerated 3T Brain Multi-parametric MR Imaging, IEEE Transactions on Biomedical Engineering, 72:1811(2024).
  2. B. Zhao, Y. Zhou, X. Zong, Effects of prospective motion correction on perivascular spaces at 7T MRI evaluated using motion artifact simulation, Magn. Reson. Med. 92:1079 (2024).
  3. C. McGrath, S. Little-Letsinger, G. Pagnotti, B. Sen, Z. Xie, G. Uzer, G. B Uzer, X. Zong, M. A Styner, J. Rubin, M. Styner, Diet Stimulated Marrow Adiposity Fails to Worsen Early, Age-Related Bone Loss, Obes. Facts, 17:145-157 (2024).
  4. J. Powell, X. Zong, J. Weinstein, S. DeLellis, S. Kane, G. Means, J. Mihalik, Mild Traumatic Brain Injury and Career Stage Associate with Visible Perivascular Spaces in Special Operations Forces Soldiers, Annals of Biomedical Engineering 52:2812–2817 (2024).

2023

  1. J. Zhang, K. Sun, J. Yang, Y. Hu, Y. Gu, Z. Cui, X. Zong, F. Gao, D. Shen，A generalized dual-domain generative framework with hierarchical consistency for medical image reconstruc-tion and synthesis, Communications Engineering, 2, 72 (2023).
  2. S. Hu, Y. Chen, X. Zong, W. Lin, M. Griswold, D. Ma, Improving motion robustness of 3D MR Fingerprinting with a fat navigator, Magn. Reson. Med, 90, 1802 (2023).
  3. X. Zong, J. Jimenez, T. Li, W. Powers, In vivo detection of penetrating arteriole alterations in cerebral white matter in patients with diabetes with 7 T MRI, Magnetic Resonance Imaging, 100, 84-92 (2023).

2022

  1. J. Moore, J. Jimenez, W. Lin, W. Powers, X. Zong, Prospective Motion Correction and Automatic Segmentation of Penetrating Arteries in Phase Contrast MRI at 7 T, Magn. Reson. Med, 88, 2088-2100 (2022).
  2. A. Rina1, A. Papanikolaou, X. Zong, Dorina T. Papageorgiou, G. A. Keliris, and S. M. Smirnakis, Visual Motion Coherence Responses in Human Visual Cortex, Frontiers in Neuroscience, doi:10.3389/fnins.2022.719250 (2022).

2021

  1. X. Zong, S. Nanavati, T. Li, and W. Lin, Effects of Motion and Retrospective Motion Correction on the Visualization and Quantification of Perivascular Spaces in Ultrahigh Resolution T2-weighted Images at 7 T, Magn. Reson. Med. 86, 1944 (2021).
  2. KG Wallace, SJ Pfeiffer, LS Pietrosimone, MS Harkey, X. Zong, D Nissman, GM Kamath, RA Creighton, JT Spang, JT Blackburn, B Pietrosimone. Changes in Infrapatellar Fat Pad Volume Following Anterior Cruciate Ligament Reconstruction and Associations with Patient-Reported Outcomes. Journal of Athletic Training. doi: 10.4085/1062-6050-0458.20 (2021).

2020

  1. X. Zong, C. Lian, J. Jimenez, K. Yamashita, D. Shen, W. Lin, Morphology of perivascular spaces and enclosed blood vessels in young to middle-aged healthy adults at 7T: Dependences on age, brain region, and breathing gas, Neuroimage 218, 116978, (2020).
  2. K. Yamashita, X. Zong, SC Hung, W. Lin, M. Castillo, Hippocampal sulcus remnant: common finding in nonelderly adults on ultra-high-resolution 7T magnetic resonance imaging, Journal of computer assisted tomography 44 (1), 43-46, (2020).

2019

  1. X. Zong and W. Lin, Quantitative Phase Contrast MRI of Penetrating Arteries in Centrum Semiovale at 7T, NeuroImage 195, 463-474 (2019).
  2. E. Jung, P. Chikontwe, X. Zong, W. Lin, D. Shen, SH Park, Enhancement of perivascular spaces using densely connected deep convolutional neural network, IEEE Access 7, 18382-18391 (2019).

2018

  1. Y. Zhang, J. Xiao, J. Peng, Y. Ding, J. Liu, Z. Guo, X. Zong, Kernel Wiener filtering model with low-rank approximation for image denoising, Information Sciences 462, 402-416 (2018).
  2. C. Lian, J. Zhang, M. Liu, X Zong, SC Hung, W. Lin, D. Shen, Multi-Channel Multi-Scale Fully Convolutional Network for 3D Perivascular Spaces Segmentation in 7T MR Images, Medical Imaging Analysis, 46:106-117 (2018).

2017

  1. M. Styner, G. M Pagnotti, C. McGrath, X. Wu, B. Sen, G. Uzer, Z. Xie, X. Zong, M. A Styner, C. T Rubin, and J. Rubin, Exercise Decreases Marrow Adipose Tissue Through ß-Oxidation in Obese Running Mice, Journal of Bone and Mineral Research, 32:1692-1702 (2017).
  2. H. Wei, R. Dibb, K. Decker, N. Wang, Y. Zhang, X. Zong, W. Lin, D. B. Nissman and C. Liu, Investigating magnetic susceptibility of human knee joint at 7 Tesla, Magn. Reson. Med., 78: 1933-1943 (2017).
  3. J. Zhang, Y. Gao, S. H. Park, X. Zong, W. Lin, D. Shen, Structured Learning for 3D Perivascular Spaces Segmentation Using Vascular Features, IEEE Trans. Biomed. Eng., 64: 2803-2812 (2017).
  4. Y. Hou, SH Park, Q. Wang, J. Zhang, X. Zong, W Lin, D Shen, Enhancement of perivascular spaces in 7 T MR image using Haar transform of non-local cubes and block-matching filtering, Scientific reports 7 (1), 1-12 (2017)

2016

  1. X. Ma, J. Tian, Z. Wu, X Zong, J. Dong, W. Zhan, Y. Xu, Z. Li, G Jiang, Spatial disassocia-tion of disrupted functional connectivity for the default mode network in patients with end-stage renal disease, Plos one 11 (8), e0161392 (2016)
  2. S. H. Park, X. Zong, Y. Gao, W. Lin, and D. Shen, Segmentation of perivascular spaces in 7 T MR image using auto-context model with orientation-normalized features. NeuroImage 134, 223-235 (2016).
  3. K. Bahrami, F. Shi, X. Zong, H. W. Shin, H. An, and D. Shen, Reconstruction of 7T-like images from 3T MRI, IEEE Trans. Med. Imaging 35, 2085 (2016).
  4. X. Zong, S. H. Park, D. Shen, and W. Lin, Visualization of perivascular spaces in the human brain at 7 T: sequence optimization and morphology characterization, NeuroImage 125, 895 (2016).

2014

  1. X. Zong, J. Lee, A. Poplawsky, Seong-Gi Kim, and J.C. Ye, Compressed Sensing fMRI using Gradient-recalled Echo and EPI Sequences, NeuroImage 92, 312 (2014).
  2. X. Zong, P. Wang, Seong-Gi Kim, and T. Jin, Sensitivity and Signal Source of Amine Proton EXchange (APEX) and Amide Proton Transfer (APT) MRI in Cerebral Ischemia, Magn. Reson. Med. 71, 118 (2014).

2013

  1. M. Fukuda, A. Vazquez, X. Zong, and Seong-Gi Kim, Effects of the α2‒adrenergic receptor agonist dexmedetomidine on neurovascular responses in somatosensory cortex, Eur. J. Neurosci. 37, 80, (2013).
  2. T. Jin, P. Wang, X. Zong, and Seong-Gi Kim, MR imaging of the Amide-Proton Transfer effect and the pH-insensitive Nuclear Overhauser Effect at 9.4 T, Magn. Reson. Med. 69, 760 (2013).

2012

  1. X. Zong, Tae Kim, and Seong-Gi Kim, Contributions of dynamic venous blood volume versus oxygenation level changes to BOLD fMRI, NeuroImage 60, 2238 (2012).
  2. T. Jin, P. Wang, X. Zong, and Seong-Gi Kim, Magnetic resonance imaging of the Amine-Proton Exchange (APEX) contrast, NeuroImage 59, 1218 (2012).

2011

  1. J. Huang, T. Hahn, L. Hoisington, S. Schafer, X. Zong, Kevin Berger, Improving Suspicious Breast Lesion Characterization Using Semi-Automatic Lesion Fractional Volume Washout Kinetic Analysis, Medical Physics 38, 5998 (2011).
  2. X. Zong and J. Huang, Linear coupling of undershoot with BOLD response in ER-fMRI and nonlinear BOLD response in rapid-presentation ER-fMRI, NeuroImage 57, 391 (2011).
  3. J. Huang, X. Zong, A. Wilkins, B. Jenkins, A. Bozoki, and Y. Cao, A neuro-physiological basis for the use of precision ophthalmic tints in reducing cortical hyper-activation and preventing migraine, Cephalalgia 31, 925 (2011).

2008

  1. X. Zong, S. Das, F. Borsa, M. D. Vannette, R. Prozorov, J. Schmalian, and D. C. Johnston, 7Li NMR study of heavy–fermion LiV2O4 containing magnetic defects, Phys. Rev. B 77, 144419 (2008). (Listed as Editor’s Suggestion paper.)
  2. X. Zong, A. Niazi, B. J. Suh, D. C. Johnston, 51V and 17O NMR study of zig-zag spin-1 chain compound CaV2O4, Phys. Rev. B 77, 014412 (2008).

2007

  1. B. J. Suh, X. Zong, Y. Singh, A. Niazi, and D. C. Johnston, 11B NMR study of normal state properties of superconductors OsB2 and RuB2, Phys. Rev. B 76, 144511 (2007).
  2. S. Das, X. Zong, A. Niazi, A. Ellern, J. Q. Yan, and D. C. Johnston, Crystallography, magnetic susceptibility, heat capacity, and electrical resistivity of heavy–fermion LiV2O4 single crystals grown using a self-flux technique, Phys. Rev. B 76, 054418 (2007).
  3. X. Zong, A. Niazi, F. Borsa, X. Ma, and D. C. Johnston, Structure, magnetization, and NMR of the spin-glass compound (LixV1-x)3BO5, Phys. Rev. B 76, 054452 (2007).
  4. M. Belesi, X. Zong, F. Borsa, C. J. Milios, and S. P. Perlepes, Proton NMR study in hexanuclear manganese single – molecule magnets, Phys. Rev. B, 75, 064414 (2007).

2006

  1. S. Das, X. Ma, X. Zong, A. Niazi, and D. C. Johnston, Phase diagram of the Li2O - V2O3-V2O5 System at 700 oC: Correlations with magnetic defect concentration in heavy fermion LiV2O4, Phys. Rev. B 74, 184417 (2006).
  2. S. S. Adler et al. PHENIX Collaboration, J/ψ Production and Nuclear Effects for d+Au and p+p Collisions at √sNN=200  GeV, Phys. Rev. Lett. 96, 012304 (2006).

2005

  1. D. C. Johnston, S.-H. Baek, X. Zong, F. Borsa, J. Schmalian, and S. Kondo, Dynamics of magnetic defects in heavy fermion LiV2O4 from stretched exponential 7Li NMR Relaxation, Phys. Rev. Lett. 95, 176408 (2005).