Ergys Subashi1, Victoria Yu1, Can Wu1, Peter Koken2, Mariya Doneva2, Ricardo Otazo1, and Ouri Cohen1
1Memorial Sloan Kettering Cancer Center, New York, NY, United States, 2Philips Research, Hamburg, Germany
The
acquisition of quantitative MRI biomarkers with sufficiently high
spatiotemporal resolution and coverage remains challenging. This is
particularly difficult in organs of the abdomen, where respiratory, pulsative,
and peristaltic motion may introduce biases in the expected evolution of signal
intensity. This work describes an implementation of free-breathing
MR-fingerprinting (MRF) for quantitative imaging of the abdomen. The method
relies on golden-angle radial sampling combined with compressed sensing and
parallel imaging. We compare MRF-derived parametric maps in vivo as a function
of reconstruction algorithm and in free-breathing (FB) and breath-hold (BH)
acquisitions.
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