Copertina

Dual-Energy Cone-Beam CT Using Two Orthogonal Projection Views: A Phantom Study

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Peng, Junbo, Wang, Tonghe, Pan, Shaoyan, Yang, Xiaofeng
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Medical Physics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Dual-Energy Cone-Beam CT Using Two Complementary Limited-Angle Scans with A Projection-Consistent Diffusion Model
di: Peng, Junbo, et al.
Pubblicazione: (2024)

Optimization-Based Image Reconstruction Regularized with Inter-Spectral Structural Similarity for Limited-Angle Dual-Energy Cone-Beam CT
di: Peng, Junbo, et al.
Pubblicazione: (2024)

CBCT-Based Synthetic CT Generation Using Conditional Flow Matching Model
di: Peng, Junbo, et al.
Pubblicazione: (2026)

CT‐based synthetic iodine map generation using conditional denoising diffusion probabilistic model
di: Yuan Gao, et al.
Pubblicazione: (2024)

Patient-Specific CBCT Synthesis for Real-time Tumor Tracking in Surface-guided Radiotherapy
di: Pan, Shaoyan, et al.
Pubblicazione: (2024)

Unsupervised Bayesian Generation of Synthetic CT from CBCT Using Patient-Specific Score-Based Prior
di: Peng, Junbo, et al.
Pubblicazione: (2024)

Low-Dose CT Imaging Using a Regularization-Enhanced Efficient Diffusion Probabilistic Model
di: Li, Qiang, et al.
Pubblicazione: (2025)

Full‐dose whole‐body PET synthesis from low‐dose PET using high‐efficiency denoising diffusion probabilistic model: PET consistency model
di: Shaoyan Pan, et al.
Pubblicazione: (2024)

Image‐domain material decomposition for dual‐energy CT using unsupervised learning with data‐fidelity loss
di: Junbo Peng, et al.
Pubblicazione: (2024)

Fast KV-Switching and Dual-Layer Flat-Panel Detector Enabled Cone-Beam CT Joint Spectral Imaging
di: Zhou, Hao, et al.
Pubblicazione: (2023)

Automatic Treatment Planning using Reinforcement Learning for High-dose-rate Prostate Brachytherapy
di: Wang, Tonghe, et al.
Pubblicazione: (2025)

Spatiotemporal Gaussian Optimization for 4D Cone Beam CT Reconstruction from Sparse Projections
di: Fu, Yabo, et al.
Pubblicazione: (2025)

Visualising Parker Weighting in Short-Scan Cone-Beam Micro-CT: A Practical Reference
di: Wiegmann, Falk L, et al.
Pubblicazione: (2026)

A Review of Artificial Intelligence in Brachytherapy
di: Chen, Jingchu, et al.
Pubblicazione: (2024)

Diffeomorphic transformer‐based abdomen MRI‐CT deformable image registration
di: Yang Lei, et al.
Pubblicazione: (2024)

Leveraging Convolutional Neural Networks for 3D Quantitative Angiography Reconstructions from Sparse Cone Beam CT Projections Utilizing CFD Data
di: Rahmatpour, Ahmad, et al.
Pubblicazione: (2024)

Adaptive Diffusion Models for Sparse-View Motion-Corrected Head Cone-beam CT
di: De Paepe, Antoine, et al.
Pubblicazione: (2025)

Self‐supervised adversarial diffusion models for fast MRI reconstruction
di: Mojtaba Safari, et al.
Pubblicazione: (2025)

Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT
di: Moriakov, Nikita, et al.
Pubblicazione: (2024)

Cystic Lung Phantom to Validate Clinical CT Protocols
di: Shah, Shefra, et al.
Pubblicazione: (2025)

Resolution-Noise Characteristics of Common FDK Filter Kernels: A Practical Reference for Preclinical Cone-Beam Micro-CT
di: Wiegmann, Falk L, et al.
Pubblicazione: (2026)

Complex Wavelet-Based Sinogram Segmentation for Metal Artifact Reduction in Cone-Beam CT
di: Rautio, Siiri, et al.
Pubblicazione: (2026)

Multi‐group deformable convolution network for 3D medical image segmentation
di: Yuheng Li, et al.
Pubblicazione: (2025)

CBCT‐based synthetic CT image generation using a diffusion model for CBCT‐guided lung radiotherapy
di: Xiaoqian Chen, et al.
Pubblicazione: (2024)

Cone beam CT will replace CT‐simulation in near future for radiotherapy planning
di: David J. Sher, et al.
Pubblicazione: (2025)

Phantom evaluation of spectral performance in photon‐counting CT for breast cancer imaging
di: Liqiang Ren, et al.
Pubblicazione: (2026)

Model-Based Perfusion Reconstruction with Time Separation Technique in Cone-Beam CT Dynamic Liver Perfusion Imaging
di: Haseljić, Hana, et al.
Pubblicazione: (2024)

Evaluation of a motion correction algorithm in lung cancer PET/CT: Phantom validation and patient studies
di: Ziyang Wang, et al.
Pubblicazione: (2025)

Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration
di: Lei, Yang, et al.
Pubblicazione: (2024)

Derivation of Tissue Properties from Basis-Vector Model Weights for Dual-Energy CT-Based Monte Carlo Proton Beam Dose Calculations
di: Medrano, Maria Jose, et al.
Pubblicazione: (2025)

Image Reconstruction in Cone Beam Computed Tomography Using Controlled Gradient Sparsity
di: Meaney, Alexander, et al.
Pubblicazione: (2024)

Equivariant Multiscale Learned Invertible Reconstruction for Cone Beam CT: From Simulated to Real Data
di: Moriakov, Nikita, et al.
Pubblicazione: (2025)

A review of artificial intelligence in brachytherapy
di: Jingchu Chen, et al.
Pubblicazione: (2025)

120 kVp Single‐Energy CT calibration for radiation treatment planning by cross‐calibration with Dual‐Energy CT using biological phantoms
di: Elena Fogazzi, et al.
Pubblicazione: (2026)

Early in vivo Radiation Damage Quantification for Pediatric Craniospinal Irradiation Using Longitudinal MRI for Intensity Modulated Proton Therapy
di: Chang, Chih-Wei, et al.
Pubblicazione: (2022)

4D Dynamic contrast‐enhanced breast CT: Phantom‐based reconstruction parameter optimization for iodine quantification
di: Mikhail Mikerov, et al.
Pubblicazione: (2025)

Phantom study for 90Y post-treatment dosimetry with a long axial field-of-view PET/CT
di: Mercolli, Lorenzo, et al.
Pubblicazione: (2023)

Unsupervised Physics-Informed Deep Learning for Dual-Energy CT Material Decomposition
di: Hellwege, Laura, et al.
Pubblicazione: (2026)

A CT Geometry With Multiple Centers Of Rotation For Solving Sparse View Problem
di: Duan, Jiayu, et al.
Pubblicazione: (2025)

Reconstructing Quantitative Cerebral Perfusion Images Directly From Measured Sinogram Data Acquired Using C-arm Cone-Beam CT
di: Zhao, Haotian, et al.
Pubblicazione: (2024)