Region of interest focused MRI to synthetic CT translation using regression and segmentation multi-task network.
Sandeep S KaushikMikael BylundCristina CozziniDattesh D ShanbhagSteven F PetitJonathan J WyattMarion Irene MenzelCarolin PirklBhairav MehtaVikas ChauhanKesavadas ChandrasekharanJoakim JonssonTufve NyholmFlorian WiesingerBjoern MenzePublished in: Physics in medicine and biology (2023)
We demonstrate that the proposed method generates sCT images that resemble real CT image and has a quantitative accuracy that suits RT dose planning application. We compare the dose calculation from the proposed sCT and the real CT in a radiation therapy treatment planning setup and show that sCT based planning falls within 0.5\% target dose error. The method presented here with an initial dose evaluation makes an encouraging precursor to a broader clinical evaluation of sCT based RT planning on different anatomical regions.
Keyphrases
- contrast enhanced
- deep learning
- computed tomography
- image quality
- radiation therapy
- dual energy
- magnetic resonance imaging
- convolutional neural network
- positron emission tomography
- squamous cell carcinoma
- high resolution
- magnetic resonance
- optical coherence tomography
- diffusion weighted imaging
- community dwelling