Multimodal imaging in radiotherapy: Focus on adaptive therapy and quality control
1Medical Physics Department, CHU de Lille, 59037 Lille, France; Neurosurgery Department, hôpital Roger-Salengro, CHU de Lille, 59037 Lille, France.
Summary
Advanced imaging in radiation oncology improves treatment accuracy. Deformable registration algorithms are crucial for adapting to patient anatomical changes during therapy, enhancing personalized care.
Area of Science:
- Medical Physics
- Radiation Oncology
- Medical Imaging
Background:
- Enhanced computer resources enable multimodal imaging integration in radiation therapy.
- Physicians utilize informative imaging for improved targeting accuracy, impacting segmentation and patient positioning.
- Adaptive radiotherapy is increasingly explored for personalized patient care.
Purpose of the Study:
- To highlight the importance of registration algorithms in radiation therapy.
- To emphasize the necessity of elastic or deformable registration for managing anatomical changes.
- To underscore the need for better understanding and validation of these algorithms.
Main Methods:
- Review of published works on registration algorithms in radiation oncology.
- Focus on evaluation and validation methods for deformable registration.
- Discussion of the integration of these algorithms into clinical workflows.
Main Results:
- Multimodal imaging significantly aids in treatment targeting.
- Deformable registration algorithms are essential for accounting for patient anatomical evolution during therapy.
- Improved understanding and validation methods are making 'black box' algorithms more controllable.
Conclusions:
- Efficient and well-integrated multimodal registration algorithms are vital for future radiation therapy.
- Continued development in medical imaging necessitates advancements in registration techniques.
- Personalized radiotherapy relies heavily on accurate and adaptive image registration.
