Development and implementation of optimized endogenous contrast sequences for delineation in adaptive radiotherapy on a 1.5T MR-linear-accelerator: a prospective R-IDEAL stage 0-2a quantitative/qualitative evaluation of in vivo site-specific quality-assurance using a 3D T2 fat-suppressed platform for head and neck cancer.
null nullTravis C SalzilloM Alex DresnerAshley WayKareem A WahidBrigid A McDonaldSam MulderMohamed A NaserRenjie HeYao DingAlison YoderSara AhmedKelsey L CorriganGohar S ManzarLauren AndringChelsea PinnixR Jason StaffordAbdallah S R MohamedJohn ChristodouleasJihong WangClifton David FullerPublished in: Journal of medical imaging (Bellingham, Wash.) (2023)
Our study led to two developments: an optimized, 3D, T2-weighted, fat-suppressed sequence that can be disseminated to Unity MR-Linac users and a robust image quality analysis pathway that can be used to objectively score SPAIR sequences and can be customized and generalized to any image quality optimization protocol. Improved segmentation accuracy with the proposed SPAIR sequence will potentially lead to improved treatment outcomes and reduced toxicity for patients by maximizing the target coverage and minimizing the radiation exposure of organs at risk.
Keyphrases
- image quality
- contrast enhanced
- computed tomography
- magnetic resonance
- end stage renal disease
- dual energy
- adipose tissue
- chronic kidney disease
- ejection fraction
- early stage
- primary care
- randomized controlled trial
- newly diagnosed
- magnetic resonance imaging
- peritoneal dialysis
- healthcare
- deep learning
- physical activity
- high resolution
- systematic review
- prognostic factors
- squamous cell carcinoma
- locally advanced
- radiation induced
- amino acid
- rectal cancer
- neural network