Computational Biomechanics for Medicine

Towards Automation and Robustness of Computations in the Clinic

Inbunden, Engelska, 2023

Av Martyn P. Nash, Adam Wittek, Poul M. F. Nielsen, Magdalena Kobielarz, Anju R. Babu, Karol Miller

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The content focuses on applications of computational biomechanics to computer-integrated medicine, which includes MICCAI topics of Medical Image Computing, Computer-Aided Modeling and Evaluation of Surgical Procedures, and Imaging, Analysis Methods for Image Guided Therapies, Computational Physiology, and Medical Robotics.

Produktinformation

Utgivningsdatum2023-08-12
Mått155 x 235 x 16 mm
Vikt507 g
FormatInbunden
SpråkEngelska
Antal sidor194
FörlagSpringer International Publishing AG
ISBN9783031349058

Tillhör följande kategorier

Tillämpad fysik inom Naturvetenskap och teknik
Biomedicinsk teknik inom Medicin
Biovetenskap inom Naturvetenskap och teknik
Klassisk mekanik inom Naturvetenskap och teknik

Generation of Patient-specific Structured Hexahedral Mesh of Aortic Aneurysm Wall.- Workflow for generating per-sonalised anatomical models of the skeleton and the skin surface of the upper torso.- Automated modeling of brain bioelectric activity within the 3D Slicer environment.- Rapid prediction of breast biomechanics under gravity loading using surrogate machine learning models.- Effect of Analyst Segmentation Variability on Computed AAA Stress Distributions.- The Effects of the Spine on the Analysis of Peak Wall Stress in Abdominal Aortic Aneurysms.- Analysis of Head Protection Performance of Bicycle Helmets by Full-Scale Computational Biomechanics Modelling of Real-World Car-to-Cyclist Accidents.- Modeling the blood flow and drug transport in an anatomically accurate rat liver.- Numerical simulation of blood flow under high shear forces in experimental and clinical applications.- Effect of mechanical aortic valves on coronary artery flow in a patient suffering from ischemic heart disease.- Stump length effect on pelvic tilt in transfemoral amputees.- Automated Assessment of Obstructive Sleep Apnea Phenotypes from Routine Sleep Studies: A New Approach to Precision Medicine.