A deep learning approach to remove contrast from contrast-enhanced CT for proton dose calculation.

Published 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
machine learning
dual energy
monte carlo
electron transfer
high speed
positron emission tomography