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Poster Communications Year : 2018

Biomechanical modeling and Magnetic Resonance Imaging to investigate CSF flow physiology

Abstract

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.
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Dates and versions

hal-02083865 , version 1 (29-03-2019)

Identifiers

  • HAL Id : hal-02083865 , version 1
  • OATAO : 23529

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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⟩
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