Generation of synthetic CT (synCT) for adaptive MR-guided radiotherapy is particularly challenging in the thorax due to the impact of respiratory motion, short-T2* tissues in lung, and a complex tissue-density structure. To address these challenges and provide data suitable for generating thoracic synCTs, we developed a UTE-Dixon sequence with a golden-angle stack-of-stars trajectory. We have demonstrated successful online acquisition and offline reconstruction of UTE, fat, water and B0 images as well as retrospective respiratory gating. Work is ongoing to optimize processing of respiratory-resolution of UTE and Dixon images that will form the input to synCT in thorax on an MR-Linac.
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