Purpose Locally advanced non‐small cell lung cancer (NSCLC) patients may experience
dramatic changes in anatomy during radiotherapy and could benefit from adaptive …

Background To evaluate the performance of surface-based deformable image registration
(DR) for adaptive radiotherapy of non-small cell lung cancer (NSCLC). Methods Based on …

Introduction Deformable image registration (DIR) can play an important role in the context of
adaptive radiotherapy. The AAPM Task Group 132 (TG-132) has described several …

Purpose: To evaluate localization accuracy resulting from rigid registration of locally‐
advanced lung cancer targets using fully automatic and semi‐automatic protocols for image …

Background Deformable image registration (DIR) is an attractive method for automatic
propagation of regions of interest (ROIs) in adaptive lung radiotherapy. This study …

Purpose: To characterize the effects of deformable image registration of serial computed
tomography (CT) scans on the radiation dose calculated from a treatment planning scan …

Purpose: Rating both a lung segmentation algorithm and a deformable image registration
(DIR) algorithm for subsequent lung computed tomography (CT) images by different …

Deformable image registration is a key enabling technology for advanced treatment of lung
cancer patients, as it can facilitate motion estimation, structure segmentation, as well as …

Background Lung cancer is a leading cause of morbidity and mortality worldwide.
Radiotherapy for lung cancer is beneficial in both the radical and palliative settings, and …

Background The study of lung parenchyma anatomical modification is useful to estimate
dose discrepancies during the radiation treatment of Non-Small-Cell Lung Cancer (NSCLC) …