Copertina

Multi-Source Static CT with Adaptive Fluence Modulation to Minimize Hallucinations in Generative Reconstructions

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Tivnan, Matthew, Gupta, Amar, Yang, Kai, Wu, Dufan, Gupta, Rajiv
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

Pseudoinverse Diffusion Models for Generative CT Image Reconstruction from Low Dose Data
di: Tivnan, Matthew, et al.
Pubblicazione: (2025)

Hallucination Index: An Image Quality Metric for Generative Reconstruction Models
di: Tivnan, Matthew, et al.
Pubblicazione: (2024)

Projection Embedded Diffusion Bridge for CT Reconstruction from Incomplete Data
di: Wang, Yuang, et al.
Pubblicazione: (2025)

Generative Super-Resolution PET Imaging with Fourier Diffusion Models
di: Tivnan, Matthew, et al.
Pubblicazione: (2025)

Estimate and compensate head motion in non‐contrast head CT scans using partial angle reconstruction and deep learning
di: Zhennong Chen, et al.
Pubblicazione: (2024)

Realistic wave-optics simulation of X-ray dark-field imaging at a human scale
di: Sung, Yongjin, et al.
Pubblicazione: (2024)

Assessing imaging performance of ultrasound systems using a random hypoechoic sphere phantom with freehand scanning
di: Baihui Yu, et al.
Pubblicazione: (2026)

AAPM Task Group Report 274: Fluence rate dosimetry for photodynamic therapy (PDT)
di: Timothy C. Zhu, et al.
Pubblicazione: (2025)

Super Phantoms: advanced models for testing medical imaging technologies
di: Manohar, Srirang, et al.
Pubblicazione: (2023)

Synergistic PET/CT Reconstruction Using a Joint Generative Model
di: Pinton, Noel Jeffrey, et al.
Pubblicazione: (2024)

CT Reconstruction using Diffusion Posterior Sampling conditioned on a Nonlinear Measurement Model
di: Li, Shudong, et al.
Pubblicazione: (2023)

A novel network architecture for post‐applicator placement CT auto‐contouring in cervical cancer HDR brachytherapy
di: Yang Lei, et al.
Pubblicazione: (2025)

Fluence smoothing evaluation for whole‐breast automatically generated treatment plans
di: Giulianne Rivelli R. Zaratim, et al.
Pubblicazione: (2024)

ComptoNet: An End-to-End Deep Learning Framework for Scatter Estimation in Multi-Source Stationary CT
di: Xia, Yingxian, et al.
Pubblicazione: (2025)

Stationary CT Imaging of Intracranial Hemorrhage with Diffusion Posterior Sampling Reconstruction
di: Lopez-Montes, Alejandro, et al.
Pubblicazione: (2024)

Reconstructing and analyzing the invariances of low‐dose CT image denoising networks
di: Elias Eulig, et al.
Pubblicazione: (2024)

Comparison of Adaptive plan doses using Velocity generated synthetic CT with KV CBCT and re-planning CT
di: Masanta, Sudam, et al.
Pubblicazione: (2025)

Deep Reinforcement Learning for Optimizing Angle Selection and Dose Allocation in CT Reconstruction
di: Wang, Tianyuan, et al.
Pubblicazione: (2026)

DLBayesian: An Alternative Bayesian Reconstruction of Limited-view CT by Optimizing Deep Learning Parameters
di: Chen, Changyu, et al.
Pubblicazione: (2025)

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

Methods for Few-View CT Image Reconstruction
di: Champley, Kyle M., et al.
Pubblicazione: (2024)

Phase‐contrast visualization of human tissues using superimposed wavefront imaging of diffraction‐enhanced x‐rays
di: Naoki Sunaguchi, 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)

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

Determinants and expected differences in the calculation of CT effective dose conversion factors for various phantom sizes and scan parameters
di: Renxin Chu, et al.
Pubblicazione: (2026)

Sparse Measurement Medical CT Reconstruction using Multi-Fused Block Matching Denoising Priors
di: Hossain, Maliha, et al.
Pubblicazione: (2025)

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

Nanophotonic thermal management in X-ray tubes
di: Pajovic, Simo, et al.
Pubblicazione: (2025)

A coronary artery phantom for task-based CT performance assessment and a comparative study of clinical CT, photon counting CT, and micro CT
di: Pack, Jed D., et al.
Pubblicazione: (2024)

Energy-Threshold Bias Calculator: A Physics-Model Based Adaptive Correction Scheme for Photon-Counting CT
di: Chen, Yuting, et al.
Pubblicazione: (2025)

Benchmarking Open-Source FDK Against Commercial and Iterative Reconstruction Methods for Preclinical Micro-CBCT
di: Wiegmann, Falk L, et al.
Pubblicazione: (2026)

Scout-Dose-TCM: Direct and Prospective Scout-Based Estimation of Personalized Organ Doses from Tube Current Modulated CT Exams
di: Medrano, Maria Jose, et al.
Pubblicazione: (2025)

AAPM Truth‐based CT (TrueCT) reconstruction grand challenge
di: Ehsan Abadi, et al.
Pubblicazione: (2025)

CT-based Anomaly Detection of Liver Tumors Using Generative Diffusion Prior
di: Shi, Yongyi, et al.
Pubblicazione: (2024)

Single-Subject Deep-Learning Image Reconstruction with a Neural Optimization Transfer Algorithm for PET-enabled Dual-Energy CT Imaging
di: Li, Siqi, et al.
Pubblicazione: (2023)

STEPC: A Multi-energy Nonuniform Response Calibration Framework for Photon-Counting Micro-CT in Multi-material Imaging
di: Zhou, Enze, et al.
Pubblicazione: (2025)

Preoperative CT‐based radiomics and deep learning model for predicting risk stratification of gastric gastrointestinal stromal tumors
di: Ping Yang, et al.
Pubblicazione: (2024)

Low-Dose CT Reconstruction Using Dataset-free Learning
di: Wang, Feng, 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)

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)