31 citations · 98 across the 10 of their papers we have counts for
10 papers
Feasibility of PET-enabled dual-energy CT imaging: First physical phantom and initial patient results
Yansong Zhu, Siqi Li, Zhaoheng Xie +9
X-ray computed tomography (CT) in PET/CT is commonly operated with a single energy, resulting in a limitation of lacking tissue composition information. Dual-energy (DE) spectral C…
Single-Subject Deep-Learning Image Reconstruction with a Neural Optimization Transfer Algorithm for PET-enabled Dual-Energy CT Imaging
Siqi Li, Yansong Zhu, Benjamin A. Spencer +1
Combining dual-energy computed tomography (DECT) with positron emission tomography (PET) offers many potential clinical applications but typically requires expensive hardware upgra…
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…
Neural KEM: A Kernel Method with Deep Coefficient Prior for PET Image Reconstruction
Siqi Li, Kuang Gong, Ramsey D. Badawi +3
Image reconstruction of low-count positron emission tomography (PET) data is challenging. Kernel methods address the challenge by incorporating image prior information in the forwa…
Deep Kernel Representation for Image Reconstruction in PET
Siqi Li, Guobao Wang
Image reconstruction for positron emission tomography (PET) is challenging because of the ill-conditioned tomographic problem and low counting statistics. Kernel methods address th…
Multiparametric Cardiac 18F-FDG PET: Pilot Comparison of FDG Delivery Rate with 82Rb Myocardial Blood Flow
Yang Zuo, Javier E. Lopez, Thomas W. Smith +4
Myocardial blood flow (MBF) and flow reserve are usually quantified in the clinic with positron emission tomography (PET) using a perfusion-specific radiotracer (e.g. 82Rbchloride)…
Modified Kernel MLAA Using Autoencoder for PET-enabled Dual-Energy CT
Siqi Li, Guobao Wang
Combined use of PET and dual-energy CT provides complementary information for multi-parametric imaging. PETenabled dual-energy CT combines a low-energy x-ray CT image with a high-e…
PET-enabled Dual-Energy CT: Image Reconstruction and A Proof-of-Concept Computer Simulation Study
Guobao Wang
Standard dual-energy computed tomography (CT) uses two different X-ray energies to obtain energy-dependent tissue attenuation information to allow quantitative material decompositi…
Multiparametric Cardiac 18F-FDG PET in Humans: Kinetic Model Selection and Identifiability Analysis
Yang Zuo, Ramsey D. Badawi, Cameron C. Foster +3
Cardiac 18F-FDG PET has been used in clinics to assess myocardial glucose metabolism. Its ability for imaging myocardial glucose transport, however, has rarely been exploited in cl…
Low-Dose CT Image Denoising Using Parallel-Clone Networks
Siqi Li, Guobao Wang
Deep neural networks have a great potential to improve image denoising in low-dose computed tomography (LDCT). Popular ways to increase the network capacity include adding more lay…