Part1: Methods and Principles
1. Non-Deep-Learning-Based Medical Image Synthesis Methods
2. Deep Learning-Based Medical Image Synthesis Methods
Part2: Applications of Inter-Modality Image Synthesis
3. MRI-Based Image Synthesis
4. CBCT/CT-Based Image Synthesis
5. CT-Based DVF/Ventilation/Perfusion Imaging
6. Image-Based Dose Planning Prediction
Part3: Applications of Intra-Modality Image Synthesis
7. Medical Imaging Denoising
8. Attenuation Correction for Quantitative PET/MR Imaging
9. High-Resolution Medical Image Estimation
10. 2D-3D Transformation for 3D Volumetric Imaging
11. Multi-Modality MRI Synthesis
12. Multi-Energy CT Transformation and Virtual Monoenergetic Imaging
13. Metal Artifact Reduction
Part4: Other Applications of Medical Image Synthesis
14. Synthetic Image-Aided Segmentation
15. Synthetic Image-Aided Registration
16. CT Image Standardization Using Deep Image Synthesis Models
Part5: Clinic Usage of Medical Image Synthesis
17. Image-Guided Adaptive Radiotherapy
Part6: Perspectives
18. Validation and Evaluation Metrics
19. Limitation and Future Trends