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PURPOSE To investigate a method to classify tissues types for synthetic CT generation using MRI for treatment planning in abdominal radiotherapy. METHODS An institutional review board approved volunteer study was performed on a 3T MRI scanner. In-phase, fat and water images were acquired for five volunteers with breath-hold using an mDixon pulse sequence. A method to classify different tissue types for synthetic CT generation in the abdomen was developed. Three tissue clusters (fat, high-density tissue, and spine/air/lungs) were generated using a fu