5 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…
FOD-Diff: 3D Multi-Channel Patch Diffusion Model for Fiber Orientation Distribution
Hao Tang, Hanyu Liu, Alessandro Perelli +2
Diffusion MRI (dMRI) is a critical non-invasive technique to estimate fiber orientation distribution (FOD) for characterizing white matter integrity. Estimating FOD from single-she…
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…