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Abstract #4530

Magnetic Resonance Fingerprinting Optimization With Variance Based Spiral Arm Ordering

Rasim Boyacioglu1, Debra McGivney1, Dan Ma1, Yun Jiang1, and Mark Griswold1

1Radiology, Case Western Reserve University, Cleveland, OH, United States

Magnetic Resonance Fingerprinting (MRF) maps various tissue properties and system parameters simultaneously. MRF time series, which are matched to a precalculated dictionary, are often obtained with fast acquisition of low resolution images with undersampled spiral trajectories using a regular sampling pattern. In this work, we propose to order a set of spiral trajectories based on dictionary variance instead of the standard sequential or golden-angle ordering. Phantom and in vivo results show that the variance based optimized order converges faster to expected true values. The optimized order does not limit other MRF optimization approaches and can be applied to any MRF sequence.

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