Computational Biomechanics for Medicine

Computational Biomechanics for Medicine

Towards Translation and Better Patient Outcomes

Wittek, Adam; Nash, Martyn P.; Nielsen, Poul M.F.; Miller, Karol; Li, Xinshan

Springer International Publishing AG

11/2022

196

Dura

Inglês

9783031093265

15 a 20 dias

Descrição não disponível.
PART I: Solid mechanics.- Towards accurate measurement of abdominal aortic aneurysm wall thickness from CT and MRI.- Patient-specific finite element modeling of aneurysmal dilatation after chronic type B aortic dissection.- Characterizing the biomechanics of cerebral aneurysms by geometrically nonlinear Kirchhoff-Love shells of nonuniform thickness.- Imaging-based patient-specific biomechanical evaluation of atherosclerosis and aneurysm: a comparison between structural-only, fluid-only and fluid-structure interaction analysis.- Automatic framework for patient-specific biomechanical computations of organ deformation: an epilepsy (EEG) case study.- Generating scoliotic computed tomography volumes from finite element spine models.- Morphological variation in an endothelial cell population: a virtual-cell model.- PART II: Fluid mechanics.- Efficient and accurate computation of quantitative flow ratio (QFR) for physiological assessment of coronary artery stenosis from a single angiographicview.- Predicting plaque progression in patient-specific carotid bifurcation.- PART III: Imaging.- Assessing fibre reorientation in soft tissues with simultaneous mueller matrix imaging and mechanical testing.- A direct geometry processing cartilage generation method for datasets with poor cartilage visibility.- Development of an open source, low-cost imaging system for continuous lung monitoring in ICU.- Measuring three-dimensional surface deformations of skin using a stereoscopic system and intrinsic features.
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Computer-integrated Medicine;Computer-aided Surgery;Biomechanics;Computational Methods;Computational Biomechanics Models;Physics-based Medical Image Analysis;Computer-aided Surgery and Diagnostic Systems