4 papers
ELECTRIC: Evidential Learning-Enhanced CT Reconstruction via Iterative Correction
Ge Wang
Here we introduce ELECTRIC (Evidential Learning-Enhanced CT Reconstruction via Iterative Correction), a physics-guided Bayesian formulation. An evidential neural network provides a…
Imaging foundation model for universal enhancement of non-ideal measurement CT
Rongjun Ge, Yuxin Liu, Zhan Wu +7
Non-ideal measurement computed tomography (NICT) employs suboptimal imaging protocols to expand CT applications. However, the resulting trade-offs degrade image quality, limiting c…
Deep Few-view High-resolution Photon-counting CT at Halved Dose for Extremity Imaging
Mengzhou Li, Chuang Niu, Ge Wang +10
X-ray photon-counting computed tomography (PCCT) for extremity allows multi-energy high-resolution (HR) imaging but its radiation dose can be further improved. Despite the great po…
Systematic Review on Learning-based Spectral CT
Alexandre Bousse, Venkata Sai Sundar Kandarpa, Simon Rit +5
Spectral computed tomography (CT) has recently emerged as an advanced version of medical CT and significantly improves conventional (single-energy) CT. Spectral CT has two main for…