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Abstract #2770

Constraint-Based Sequence Optimization in a Scanner-Independent MRI Framework

Daniel Christopher Hoinkiss1, Simon Konstandin1,2, and Matthias Günther1,2,3
1Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany, 2mediri GmbH, Heidelberg, Germany, 3University of Bremen, Bremen, Germany


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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