Radiotherapy for lung cancer is challenged by respiratory motion and inter-fractional anatomical variations. The respiratory motion management based on tumor tracking can reduce the discrepancies between planned and absorbed doses. However, current clinical t...
Author profile
Weige Wei, MM
West China Hospital of Sichuan University
A Patient-Specific Deep Learning Model for Angle-Agnostic Tumor Tracking In Projections for Lung Cancer Radiotherapy
Poster Program · Therapy Physics
Quantifying Cardiac Deformable Image Registration Accuracy and Its Dosimetric Uncertainty for 4D Dose Accumulation In Stereotactic Arrhythmia Radioablation
Stereotactic arrhythmia radioablation (STAR) offers a non-invasive treatment option for refractory tachycardia; however, precise dose delivery remains challenging due to the complexity of cardiorespiratory motion. This study evaluated the geometric and dosime...
Poster Program · Therapy Physics
A Generalizable Deep Learning Model for Real-Time CT Generation from a Single Projection for Lung Cancer Radiotherapy
Respiratory during lung cancer radiotherapy causes tumor and organ motion, increasing uncertainties of absorbed doses, while current image-guided methods cannot provide real-time volumetric CT during treatment. We proposed a generalizable deep learning model,...
Poster Program · Therapy Physics