The disclosure relates to techniques for triggering magnetic resonance data acquisition. The techniques include detecting a respiration direction of a respiration signal of an acquisition subject, predicting in real time an amplitude peak value of an expiration signal in the current respiration period according to the real-time respiration signal of the acquisition subject, multiplying the amplitude peak value by a preset coefficient, and using the product as a trigger point threshold of the current respiration period. When it is determined that an expiration stage of the current respiration period is starting, the techniques also include calculating in real time or periodically the absolute value of the difference between the amplitude of the current expiration signal and the trigger point threshold currently calculated, and if the absolute value of the difference is less than a preset difference threshold, then triggering MR data acquisition.
RESPIRATORY MODELING USING DEEP LEARNING FOR MR IMAGING WITH PILOT TONE NAVIGATION