The goal of this project was to combine MRI, ultrasound (US) and computer science methodologies toward generating MRI at high frame rates, inside and even outside the bore. A small US transducer, fixed to the abdomen, collected signals during MRI. Based on these signals and correlations with MRI, a machine-learning algorithm created synthetic MR images at up to 100 frames per second. In one particular implementation volunteers were taken out of the MRI bore with US sensor still in place, and MR images were generated on the basis of ultrasound signal and learned correlations alone, in a 'scannerless' manner.
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