Evaluating the Hounsfield unit assignment and dose differences between CT-based standard and deep learning-based synthetic CT images for MRI-only radiation therapy of the head and neck.
Kamal SinghraoCatherine Lu DuganChristina CalvinLuis PelayoSue Sun YomJason Wing-Hong ChanJessica Elizabeth ScholeyLisa SingerPublished in: Journal of applied clinical medical physics (2023)
In this cohort, HU differences of CT and sCT were observed but did not translate into a reduction in gamma pass rates or differences in average PTV/OAR dose metrics greater than 3%. For sites such as the H&N where there are many tissue interfaces we did not observe large scale dose deviations but further studies using larger retrospective cohorts are merited to establish the variation in sCT dosimetric accuracy which could help to inform QA limits on clinical sCT usage.
Keyphrases
- contrast enhanced
- radiation therapy
- deep learning
- image quality
- dual energy
- computed tomography
- magnetic resonance imaging
- magnetic resonance
- convolutional neural network
- positron emission tomography
- diffusion weighted imaging
- machine learning
- cross sectional
- optical coherence tomography
- radiation induced
- locally advanced