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Abstract #0640

Adaptive Feedforward Control of Gradient Currents Using Gradient Heating Prediction

Reza Babaloo1, Ege Aydin1, and Ergin Atalar1,2
1Department of Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, 2National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey

Synopsis

The MRI gradient system heating changes its characteristics, and without a feedback system, the gradient waveform distorts resulting image artifacts. The primary effect of temperature rise in the gradient coil winding is the increase in the coil resistance. Feedforward based controllers, preferable in gradient array systems and multi-coil designs, use a linear time-invariant model. However, the gradient heating makes the system time-variant. To address this issue, we propose predicting gradient coil thermal variation using the thermal differential equation and updating feedforward controller parameters continuously.

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