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Abstract #4154

Intelligent Protocolling for Autonomous MRI

Keerthi Sravan Ravi1,2, Sairam Geethanath2, Patrick Quarterman3, Maggie Fung3, and John Thomas Vaughan Jr.2
1Biomedical Engineering, Columbia University, New York, NY, United States, 2Columbia University Magnetic Resonance Research Center, Columbia University, New York, NY, United States, 3GE Healthcare Applied Sciences Laboratory East, New York, NY, United States

MR Value can be interpreted as the ratio of image contrast to acquisition time. This can be maximised via intelligent protocolling that chooses an optimal combination of pulse sequence parameters. In this work, a Look Up Table (LUT) is consulted to obtain parameters that satisfy an acquisition time constraint. The LUT is populated with data collected from a vendor’s simulator, and a search algorithm is designed to prioritise preserving image contrast and achieving high through-plane resolution. Data is collected across four experiments from a healthy volunteer. LUT-derived and measured relative SNR values are compared and analysed.

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