Medical Image Reconstruction

We are developing deep learning-based PET, CT, and MR image reconstruction methods to improve medical image quality. Medical physics models are included in the network to improve the robustness of the networks’ performance. 

Related publications:

  1. Gong K, Catana C, Qi J, Li Q. PET Image Reconstruction Using Deep Image Prior. IEEE transactions on medical imaging. 2019 July; 38(7):1655-65.
  2. Gong K, Guan J, Liu CC, Qi J. PET Image Denoising Using a Deep Neural Network Through Fine Tuning. IEEE Transactions on Radiation and Plasma Medical Sciences. 2018 Oct 23;3(2):153-61.
  3. Gong K, Guan J, Kim K, Zhang X, Yang J, Seo Y, El Fakhri G, Qi J, Li Q. Iterative PET image reconstruction using convolutional neural network representation. IEEE transactions on medical imaging. 2018 Sep 12; 38(3):675-85.
  4. Cui J*, Gong K*, Guo N, Meng X, Kim K, Zheng K, Wu Z, Fu L, Xu B, Zhu Z, Tian J, Liu H, Li Q, PET image denoising using unsupervised deep learning. European journal of nuclear medicine and molecular imaging. 2019 Dec 1;46(13):2780-9.
  5. Gong K, Kim K, Wu D, Kalra MK, Li Q. Low-dose dual energy CT image reconstruction using non-local deep image prior. In2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) 2019 Oct (pp. 1-2). IEEE.
  6. Gong K*, Han P*, El Fakhri G, Ma C, Li Q. Arterial Spin Labeling MR Image Denoising and Reconstruction Using Unsupervised Deep Learning, NMR in Biomedicine. 2019 Dec 22:e4224.
  7. Xie N*, Gong K*, Guo N, Qin Z, Wu Z, Liu H, Li Q. Penalized-likelihood PET Image Reconstruction Using 3D Structural Convolutional Sparse Coding, IEEE Transactions on Biomedical Engineering, 2020, 
  8. Cui J*, Gong K*, Guo N, Wu C, Kim K, Liu H, Li Q. Populational and individual information based PET image denoising using conditional unsupervised learning. Physics in Medicine & Biology. 2021 Jul 19;66(15):155001.
  9. Cui J*, Gong K*, Han P, Liu H, Li Q. Unsupervised Arterial Spin Labeling Image Super-Resolution via Multi-Scale Generative Adversarial Network. Medical Physics, 2022 Apr;49(4):2373-85.
  10. Gong K, Johnson AK, El Fakhri G, Li Q, Pan T, PET image denoising based on denoising diffusion probabilistic models, arXiv preprint arXiv:2209.06167, 2022
  11. Jang SI, Pan T, Li Y, Heidari P, Chen J, Li Q, Gong K. Spach Transformer: Spatial and Channel-wise Transformer Based on Local and Global Self-attentions for PET Image Denoising. arXiv preprint arXiv:2209.03300. 2022 Sep 7.