6 papers
Toward CT-Equivalent Image Quality in Low-Dose Radiotherapy Planning: Conditional Diffusion-Based CBCT-to-CT Synthesis and the Impact of CBCT Input Representation
Alzahra Altalib, Chunhui Li, Christopher Hamill Taylor +2
During standard radiotherapy planning, repeated CT acquisitions are often required for patient registration, verification, and adaptive planning, resulting in increased cumulative…
Dual-Domain Equivariant Generative Adversarial Network for Multimodal CT-PET Synthesis
Gabriel Steele, Alzahra Altalib, Alessandro Perelli
We present a Dual-Domain Equivariant Generative Adversarial Network (DDE-GAN) for multimodal CT-PET image synthesis. Traditional GAN-based approaches often operate solely in the sp…
EPC-3D-Diff: Equivariant Physics Consistent Conditional 3D Latent Diffusion for CBCT to CT Synthesis
Alzahra Altalib, Chunhui Li, Haytham Al Ewaidat +3
Cone-beam CT (CBCT) is routinely acquired during radiotherapy for patient setup, but its quantitative reliability is degraded by scatter, noise, and reconstruction artifacts, limit…
Equivariant Conditional Diffusion Model for Head and Neck CT Image Synthesis from CBCT
Alzahra Altalib, Chunhui Li, Alessandro Perelli
Background: Cone-beam computed tomography CBCT is a commonly used modality for image guided radiotherapy. It offers real time anatomical visualization with low acquisition cost and…
Conditional Diffusion Models for CT Image Synthesis from CBCT: A Systematic Review
Alzahra Altalib, Chunhui Li, Alessandro Perelli
Objective: Cone-beam computed tomography (CBCT) provides a low-dose imaging alternative to conventional CT, but suffers from noise, scatter, and artifacts that degrade image qualit…
Synthetic CT image generation from CBCT: A Systematic Review
Alzahra Altalib, Scott McGregor, Chunhui Li +1
The generation of synthetic CT (sCT) images from cone-beam CT (CBCT) data using deep learning methodologies represents a significant advancement in radiation oncology. This systema…