Spectral & Dual-Energy CT
The papers in this topic, the datasets they use, the teams that focus on it, the toolkits assigned to it, and the authors with several papers here. Select any node to see its connections.
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Spectral & Dual-Energy CT
Team
- Computational Imaging Group
- CT Clinical Innovation Center
- CT Imaging Group, Department of Engineering Physics
- CT Research Group (UW CT Lab)
- I-STAR Lab (Imaging for Surgery, Therapy, and Radiology)
- imec-Vision Lab (ASTRA Group)
- LEAP Project, Lawrence Livermore National Laboratory
- Tomographic Imaging / Core Imaging Library (CIL) Group
- WANG-AXIS Lab / Biomedical Imaging Center (BIC)
- X-ray Tomographic Imaging Group
Topic
Paper
- $K$-NeAS: Scalable Multi-Material CT Reconstruction Using Neural SDFs
- AGATE
- An Iterative Maximum-Likelihood Polychromatic Algorithm for CT
- CD-Net
- DECT-MULTRA
- Deep-En-Chroma
- Deep-silicon photon-counting x-ray projection denoising through reinforcement learning
- DIAMOND
- DIRECT-Net
- Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications
- Energy-Selective Reconstructions in X-Ray Computerised Tomography
- Experimental Feasibility of Multi-Energy Photon-Counting K-Edge Imaging in Pre-Clinical Computed Tomography
- FONT-SIR
- FSTensor
- Gaussian Material Fields for Volumetric Multi-Energy CT Decomposition
- HR-CNN
- ILUMENATE
- Incept-net
- Incept-net
- Integration of Spectral CT with PET and SPECT: Bringing Tissue Composition Information to Molecular Imaging
- K-Edge Imaging in X-Ray Computed Tomography Using Multi-Bin Photon Counting Detectors
- LRTP
- Material Decomposition in Spectral CT Using Deep Learning: A Sim2Real Transfer Approach
- Modeling X-Ray Photon Pile-Up with a Normalizing Flow
- MsDu-Nets
- NLCTF
- Photon-Counting CT Reconstruction With a Learned Forward Operator
- Pie-Net
- PKAID-Net
- SISTER
- SOUL-Net
- Sparse-View Spectral CT Reconstruction Using Spectral Patch-Based Low-Rank Penalty
- SPEAR-Net
- Spectral DPS
- Spectral-X
- SPIR
- Statistical Image Reconstruction for Polyenergetic X-Ray Computed Tomography
- TANZANITE
- TIME-Net
- ULTRA
- Virtual Monoenergetic CT Imaging via Deep Learning
- WeaveNet
Toolkit
Author
- Bruno De Man
- Cynthia H. McCollough
- Dianlin Hu
- Emily K. Koons
- Eric E. Williamson
- Ge Wang
- Gouenou Coatrieux
- Guotao Quan
- Hao Gong
- Hu Chen
- Jamison E. Thorne
- Jeffrey A. Fessler
- Jeffrey F. Marsh
- Jin Liu
- Joel G. Fletcher
- Kishore Rajendran
- Lifeng Yu
- Nathan R. Huber
- Rongjun Ge
- Shaojie Chang
- Shuai Leng
- Thomas A. Foley
- Weiwen Wu
- Xu Ji
- Yanbo Zhang
- Yang Chen
- Yi Zhang
- Yikun Zhang
- Yongshuai Ge
- Yongyi Shi