A deep learning approach to remove contrast from contrast-enhanced CT for proton dose calculation.
Xu WangYao HaoYe DuanDeshan YangPublished in: Journal of applied clinical medical physics (2024)
A deep learning approach was developed to generate NCECTs from CECTs. This approach could be useful for the proton dose calculation to reduce uncertainties caused by tissue motion between CECT and NCECT.
Keyphrases
- contrast enhanced
- deep learning
- diffusion weighted
- magnetic resonance imaging
- magnetic resonance
- computed tomography
- artificial intelligence
- diffusion weighted imaging
- convolutional neural network
- dual energy
- machine learning
- monte carlo
- electron transfer
- positron emission tomography
- high speed
- image quality
- high resolution