A proof-of-concept study of direct magnetic resonance imaging-based proton dose calculation for brain tumors via neural networks with Monte Carlo-comparable accuracy
This study demonstrated the feasibility of MC-quality proton dose calculations directly from MR images for brain tumor patients, achieving comparable accuracy with faster computation and simplified implementation.
Jul 5, 2025
Diffusion Schrödinger bridge models for high-quality MR-to-CT synthesis for proton treatment planning
A diffusion Schrödinger bridge model for high-quality MR-to-CT synthesis for proton treatment planning.
Jan 1, 2025
Generating Synthetic Computed Tomography for Radiotherapy: SynthRAD2023 Challenge Report
SynthRAD2023 challenge report comparing synthetic CT generation methods for radiotherapy using multi-center data, evaluating both image similarity and dose-based metrics for MRI-to-CT and CBCT-to-CT tasks.
Oct 1, 2024
A Unified Generation-Registration Framework for Improved MR-based CT Synthesis in Proton Therapy
This study conclusively demonstrates that a holistic MR-based CT synthesis approach, integrating both image-to-image translation and deformable registration, significantly improves the precision and quality of sCT generation, particularly for the challenging body area with varied anatomic changes between corresponding MR and CT.
Aug 13, 2024
Uncertainty-aware MR-based CT synthesis for robust proton therapy planning of brain tumour
The enhanced framework incorporates 3D uncertainty prediction and generates high-quality sCTs from MR images. The framework also facilitates conditioned robust optimisation, bolstering proton plan robustness against network prediction errors. The innovative feature of uncertainty visualisation and robust analyses contribute to evaluating sCT clinical utility for individual patients.
Feb 1, 2024
Our abstract is selected as a Mini-Oral presentation by ESTRO 2023!
Uncertainty-aware MR-base CT synthesis for robust proton planning of skull-based tumour
Dec 20, 2022