Optimizing signal patterns for MR vascular fingerprinting

Aurélien Delphin (1) , Fabien Boux (1, 2) , Clément Brossard (1) , Jan Warnking (1) , Benjamin Lemasson (1) , Emmanuel Luc Barbier (1) , Thomas Christen (1)

1 GIN - [GIN] Grenoble Institut des Neurosciences
2 Inria Grenoble - Rhône-Alpes

MR vascular fingerprinting proposes to map vascular properties such as blood volume fraction, average vessel radius or blood oxygenation saturation (SO). The fingerprint pattern used in previous studies provides low sensitivity on SO. 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.

Domaines: Physique Médicale [physics.med-ph]

Aurélien Delphin, Fabien Boux, Clément Brossard, Jan Warnking, Benjamin Lemasson, et al.. Optimizing signal patterns for MR vascular fingerprinting. ISMRM & SMRT 2020 - Virtual Conference & Exhibition, Aug 2020, Sidney, Australia. pp.1-3. ⟨hal-02926840⟩