Degenerative cervical myelopathy (DCM) is a common cause of spinal cord injury for elderly population. To better understand the biomechanical interactions between the spinal central nervous system and the cerebrospinal flow in healthy population as well as the pathophysiology of DCM, biomechanical modeling is necessary. This PhD aims to provide morphometrical description of the cervical canal and mechanical description of spinal meninges which will drive to the preliminary development of numerical models with fluid-structure interactions in healthy of pathological conditions such as for DCM.In the first part, a methodology was developed for 3D MRI-based detailed morphometrical descriptions of healthy and DCM populations. This methodology could be equally used for diagnosis improvement in a clinical research context and for subject-specific geometry definition in a biomechanical context.In the secondly part, two mechanical testing protocol were performed to describe tensile mechanical properties of spinal porcine meninge as human model. Uni-axial tests firstly provided new elastic and isotropic hyperelastic description of meninges showing a tend to spinal level dependency while bi-axial tests were performed to more detailed the tissue in comparing isotropic and anisotropic hyperelastic constitutive laws. These experimental data plays a crucial role in the numerical biomechanical modelling of the interactions between the cerebrospinal fluid and the spinal central nervous system.In the third part, the mathematical formulation of a fluid-structure interaction problem between a Newtonian fluid and a linear elastic solid was developed. Thus, a preliminary simplistic FSI model was developed with an explicit solver (RADIOSS) as a proof-of -concept. Finally, others FSI approaches were discussed as alternative modelling solutions.Thus, this PhD might help scientific community to develop biomechanical models of the spinal canal in taking into account the role of cerebrospinal flow and the nervous tissues in healthy or an in pathological cases.