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eess.IV2024
Deep unrolled primal dual network for TOF-PET list-mode image reconstruction
Rui Hu, Chenxu Li, Kun Tian +3
Time-of-flight (TOF) information provides more accurate location data for annihilation photons, thereby enhancing the quality of PET reconstruction images and reducing noise. List-…
cs.LG2024
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework
Yubo Ye, Sumeet Vadhavkar, Xiajun Jiang +3
Modern applications increasingly require unsupervised learning of latent dynamics from high-dimensional time-series. This presents a significant challenge of identifiability: many…
eess.IV2024
Hybrid Kinetics Embedding Framework for Dynamic PET Reconstruction
Yubo Ye, Huafeng Liu, Linwei Wang
In dynamic positron emission tomography (PET) reconstruction, the importance of leveraging the temporal dependence of the data has been well appreciated. Current deep-learning solu…