We demonstrate a constraint-based approach of MRI sequence development in the vendor-independent MRI pulse sequence development framework gammaSTAR and demonstrate this concept in arterial spin labeling by optimizing the timings of the background suppression pulses to minimize the signal contribution of chosen T1 values in the human brain. This concept can raise MRI sequence development to a new abstraction level by, instead of providing exact timings and parameter values, defining physical constraints and conditions to be satisfied by the MRI sequence during an automated sequence generation process.
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