TIME-Net: Transformer-integrated multi-encoder network for limited-angle artifact removal in dual-energy CBCT

Y Zhang, D Hu, Z Yan, Q Zhao, G Quan, S Luo… - Medical Image …, 2023 - Elsevier
Dual-energy cone-beam computed tomography (DE-CBCT) is a promising imaging
technique with foreseeable clinical applications. DE-CBCT images acquired with two …

Fast and effective single‐scan dual‐energy cone‐beam CT reconstruction and decomposition denoising based on dual‐energy vectorization

X Jiang, C Fang, P Hu, H Cui, L Zhu, Y Yang - Medical physics, 2021 - Wiley Online Library
Purpose Flat‐panel detector (FPD) based dual‐energy cone‐beam computed tomography
(DE‐CBCT) is a promising imaging technique for dedicated clinical applications. In this …

SPIE-DIR: Self-prior information enhanced deep iterative reconstruction using two complementary limited-angle scans for DECT

Y Zhang, D Hu, T Lyu, G Quan, J **ang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Dual-energy computed tomography (DECT) can simultaneously provide the anatomical
structure and material-specific information of the scanned object, having many applications …

[HTML][HTML] TIGRE-VarianCBCT for on-board cone-beam computed tomography, an open-source toolkit for imaging, dosimetry and clinical research

Y Du, R Wang, A Biguri, X Zhao, Y Peng, H Wu - Physica Medica, 2022 - Elsevier
We presented TIGRE-VarianCBCT, an open-source toolkit Matlab-GPU for Varian on-board
cone-beam CT with particular emphasis to address challenges in raw data preprocessing …

A generalizable new figure of merit for dose optimization in dual energy cone beam CT scanning protocols

C Li, L Zhou, J Deng, H Wu, R Wang… - Physics in Medicine …, 2023 - iopscience.iop.org
Objective. This study proposes and evaluates a new figure of merit (FOMn) for dose
optimization of Dual-energy cone-beam CT (DE-CBCT) scanning protocols based on size …

CT material decomposition using spectral diffusion posterior sampling

X Jiang, GJ Gang, JW Stayman - … on Image Formation in X-Ray …, 2024 - pmc.ncbi.nlm.nih.gov
In this work, we introduce a new deep learning approach based on diffusion posterior
sampling (DPS) to perform material decomposition from spectral CT measurements. This …

Multi-Material Decomposition Using Spectral Diffusion Posterior Sampling

X Jiang, GJ Gang, JW Stayman - arxiv preprint arxiv:2408.01519, 2024 - arxiv.org
Many spectral CT applications require accurate material decomposition. Existing material
decomposition algorithms are often susceptible to significant noise magnification or, in the …

Feasibility of dual‐energy CBCT material decomposition in the human torso with 2D anti‐scatter grids and grid‐based scatter sampling

C Altunbas - Medical Physics, 2024 - Wiley Online Library
Background Dual‐energy (DE) imaging techniques in cone‐beam computed tomography
(CBCT) have potential clinical applications, including material quantification and improved …

DER-GAN: Dual-Energy Recovery GAN for Conebeam CT

J **ang, A Mao, J **e, H Han, X Wang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Dual-energy cone-beam computed tomography (DE-CBCT) integrates dual-energy imaging
seamlessly into the CBCT system, offering a practical solution for real-time clinical …

Optimization-Based Image Reconstruction Regularized with Inter-Spectral Structural Similarity for Limited-Angle Dual-Energy Cone-Beam CT

J Peng, T Wang, RLJ Qiu, CW Chang, J Roper… - arxiv preprint arxiv …, 2024 - arxiv.org
Background: Limited-angle (LA) dual-energy (DE) cone-beam CT (CBCT) is considered as a
potential solution to achieve fast and low-dose DE imaging on current CBCT scanners …