MRI Gradient Waveform Correction via Response Function

The patent replaces the mechanical/physical correction coil system with a computational approach. A response function is calculated from measured input and output gradient waveforms, and this response function is then used to compute corrected gradient waveforms that compensate for eddy current effects. This substitution eliminates the need for additional correction coils while achieving the same image quality improvement.

The patent creates a computational model (response function) that copies or replicates the effect of correction coils. By measuring the actual gradient waveform distortion and calculating a response function that characterizes this distortion, the system can generate corrected waveforms that produce the same compensatory effect as physical correction coils would, without requiring the additional hardware.

The patent performs preliminary measurement and calculation of the response function characterizing the gradient coil's actual behavior. This response function is stored and then applied to predict and correct future gradient waveforms. By performing this characterization work in advance, the system achieves both fast real-time correction (using the pre-calculated response function) and high precision (using actual measured data rather than theoretical models).

The patent uses feedback by measuring the actual output gradient waveform and using it to calculate an accurate response function. This measured response function then feeds back into the correction process, allowing the system to continuously improve its accuracy based on actual performance data rather than relying on theoretical models that are sensitive to operator input and noise.