Enhancing adaptive proton therapy through CBCT images: Synthetic head and neck CT generation based on 3D vision transformers.
David Viar-HernándezJuan Manuel Molina-MazaJuan Antonio VeraJuan Maria Perez-MorenoAlejandro MazalBorja Rodriguez-VilaNorberto MalpicaAngel Torrado-CarvajalPublished in: Medical physics (2024)
We introduce an enhanced ViT3D architecture for pCT image generation from CBCT images, reducing SPR error within clinical margins for APT workflows. The new method minimizes bias compared to CT-based SPR estimation and dose calculation, signaling a promising direction for future research in this field. However, further research is needed to assess the robustness and generalizability across different medical imaging applications.
Keyphrases
- image quality
- deep learning
- computed tomography
- dual energy
- convolutional neural network
- optical coherence tomography
- contrast enhanced
- healthcare
- high resolution
- cone beam computed tomography
- positron emission tomography
- magnetic resonance imaging
- machine learning
- current status
- magnetic resonance
- fluorescence imaging
- mass spectrometry