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Abstract #3743

Optimizing signal patterns for MR vascular fingerprinting

Aurelien Delphin1, Fabien Boux1,2, Clément Brossard1, Jan M Warnking1, Benjamin Lemasson1, Emmanuel Luc Barbier1, and Thomas Christen1
1Univ. Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences, GIN, 38000, Grenoble, France, 2Univ. Grenoble Alpes, Inria, CNRS, G-INP, 38000, Grenoble, France

MR vascular fingerprinting proposes to map vascular properties such as blood volume fraction, average vessel radius or blood oxygenation saturation (SO2). The fingerprint pattern used in previous studies provides low sensitivity on SO2. We optimised signal patterns built from pre and post USPIO acquisitions. Concatenation of different echoes associated with higher dimensional dictionaries led to better estimates in both healthy and tumoral tissues.

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