Personalising Deformable Image Registration with Clinical Context and Deformation History for Adaptive Radiotherapy
Adaptive radiotherapy must account for anatomical changes during treatment, but doing so depends on reliably mapping targets, organs at risk and dose across serial images. Existing registration methods treat each image pair independently, without using radiotherapy-specific context or the patient's preceding anatomical trajectory. We developed Clinical-context-Aware and Patient-adaptive Deformable Image Registration (CAP-DIR), integrating source contours, dose, clinical text and prior-registration features. We evaluated 16,361 CT examinations from 3,473 patients across four institutional cohorts and five public benchmarks. CAP-DIR increased internal-test organ-at-risk-region normalized cr...
| Authors | Caiwen Jiang, Songlin Zhao, Yuzhen Ding et al. |
|---|---|
| Primary category | eess.IV |
| Published | 13 October 2026 |
| Last updated at source | 13 October 2026 |
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