To reduce radiation dose and/or improve image quality in CT, it is very important to select the optimal tube potential (kV), which is highly dependent on patient size and specific diagnostic task. In this invention, we developed a general strategy that allows for individualized automatic kV selection for each patient size and each diagnostic task. We proposed a novel concept, kV dose index (kV-DI), which quantifies the relative dose efficiency of each kV for a specific patient size and a specific image quality metric. A general image quality metric, contrast to noise ratio (CRN) with noise constraint, was also proposed to guide the automatic selection of kV. We developed a workflow based on these concept that allows for automatic identification of the optimal kV that is both dose-efficient and practically feasible for different patient sizes and diagnostic tasks.
Automatic kV for Radiation Dose Reduction in CT - A General StrategyTechnology #2009-043
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