Overview
AI based registration aligns images from different modalities or time points rapidly. It supports fusion of CT MRI and PET for comprehensive assessment. Accurate registration improves localization and treatment planning.
Techniques
Learning based approaches predict deformation fields or transformation parameters. Training uses paired images and synthetic deformations for supervision. Robustness to pathology and artifacts is essential.
Applications
Registration enables image guided interventions and radiotherapy planning. It supports longitudinal comparison and change detection. Integration with navigation systems enhances surgical precision.
Validation
Quantitative metrics and landmark based assessments evaluate registration accuracy. Clinical validation includes impact on downstream tasks such as segmentation and dose planning. Ongoing QA ensures reliability in practice.