West China Hospital of Sichuan University

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...

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...

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,...

Ultra-sparse-view cone-beam CT (CBCT) acquisition reduces imaging dose in image-guided radiotherapy; however, extreme angular sparsity introduces severe streak artifacts and structural inconsistency that challenge conventional and learning-based reconstructio...

To generate physiologically plausible 4D medical image sequences from extremely sparse inputs by integrating external breathing signals, overcoming the limitation of requiring dense supervision in current spatiotemporal interpolation methods.