Computational Biomechanics for Medicine : Models, Algorithms and Implementation /

Detalles Bibliográficos
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Wittek, Adam. (Editor ), Miller, Karol. (Editor ), Nielsen, Poul M.F. (Editor )
Formato: eBook
Lenguaje:English
Publicado: New York, NY : Springer New York : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Materias:
Tabla de Contenidos:
  • Part I: Invited Lectures
  • Cutting in real-time in corrotational elasticity and perspectives on simulating cuts
  • Why most of the intra-operative medical robotic devices do not use biomechanical models? Some clues to explain the bottlenecks and the needed research breakthroughs
  • Part II: Computational Biomechanics of Soft Organs and Flow
  • Numeric simulation of fluid structure interaction in the aortic arch
  • Patient-specific computational models: Tools for improving the efficiency of Medical Compression Stockings
  • Intraoperative damage monitoring of endoclamp balloon expansion using real-time finite element modeling
  • 3D Algorithm for simulation of soft tissue cutting
  • Simulation of congenital heart defect corrective surgeries using thin shell elements
  • Efficient suturing of deformable models
  • Part III: Computational Biomechanics for Image-Guided Surgery
  • Objective evaluation of accuracy of intraoperative neuroimage registration
  • Registration of brain tumor images using hyper-elastic regularization
  • Heterogeneous biomechanical model on correcting brain deformation induced by tumor resection
  • Intra-operative update of neuro-images: Comparison of performance of image warping using patient-specific biomechanical model and BSpline image registration
  • Part IV: Musculoskeletal System, Muscles and Injury Biomechanics
  • Trabecular bone poroelasticity for microCT-based FE models
  • Using multibody dynamics to design total knee replacement implants
  • Using tagged MRI to quantify the 3D deformation of a cadaver brain in response to angular acceleration
  • Identification of tongue muscle fibre group contraction from MR images
  • Finite element analysis of thorax responses under quasi-static and dynamic loading.