The primary purpose of this master’s thesis is the development of a numerical procedure for modelling of a shape memory polymer carotid stent implementation and efficiency analysis of bionic-inspired stent models. The stenting efficiency is defined by the residual stenosis and arterial wall stress. To achieve that, it is necessary to model the arterial wall as realistically as possible. Since the real arterial wall behaviour is characterized by anisotropy due to the arrangement of collagen fibres, the arterial wall was modelled as an anisotropic hyperelastic material described by the Holzapfel-Gasser-Ogden (HGO) model, while isotropic hyperelastic material described by the Neo-Hooke model was used for both atherosclerotic plaque and stent. User material subroutine (UMAT) was used for the implementation of HGO model that takes into account pre-stretches in elastin and collagen in Abaqus 6.14-4 software. A model of a conventional stent and various proposed bionic-inspired stents were created in SOLIDWORKS Premium 2022 SP2.0 software. Their efficiency was analysed by simulating the stent implantation into an artery with 50 % degree of stenosis. The obtained results were compared for the case of the stiff hypocellular atherosclerotic plaque, whose composition and mechanical properties generate the most threatening case of the disease, and result in the least reduction of stenosis. The numerical results show that the suggested Favus-O model inspired by the honeycomb structure provides more favourable lumen expansion after stent implementation in comparison to the conventional, but also to the other proposed models, by reducing the stenosis from 50 % to 31 % with the expected increase in wall stress caused by larger radial displacements.