Biomechanical modeling and Magnetic Resonance Imaging to investigate CSF flow physiology

Patricia Cathalifaud (1) , Mokhtar Zagzoule (1) , Olivier Balédent (2)

1 IMFT - Institut de mécanique des fluides de Toulouse
2 CHIMERE - CHirurgie, IMagerie et REgénération tissulaire de l’extrémité céphalique - Caractérisation morphologique et fonctionnelle - UR UPJV 7516

Nowadays Phase contrast Magnetic Resonance Imaging (PC-MRI) is the only sensor able to measure in physiological conditions blood and cerebrospinal fluids (CSF) flow dynamics during cardiac cycle at different levels of the craniospinal system [1]. Combining modelling and in Vivo PC-MRI measurments of CSF Flow at the cervical Spinal (Qs) and Aqueduct of Sylvius (Qv) or Sub-Arachnoidal cerebral (Qc) levels makes it possible to compute Intracranial pressure (ICP) as well as get a deep insight into the LCS dynamical system. Inertia has been neglected in most of previous LCS models. Our simple model show that inertia plays a crucial role in particular in the optimal LCS flow amplitudes and phases.

Mots clés: Cerebro-spinal fluid; 1D model; MRI

Domaines: Dynamique des Fluides [physics.flu-dyn]; Neurosciences [q-bio.NC]

Patricia Cathalifaud, Mokhtar Zagzoule, Olivier Balédent. Biomechanical modeling and Magnetic Resonance Imaging to investigate CSF flow physiology. 8th World Congress of Biomechanics - WCB 2018, Jul 2018, Dublin, Ireland. pp.0, 2018. ⟨hal-02083865⟩