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Computational Biomechanics for Medicine: Personalisation, Validation and Therapy 2020 ed. [Paperback / softback]

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  • Format: Paperback / softback, 149 pages, height x width: 235x155 mm, weight: 256 g, 48 Illustrations, color; 12 Illustrations, black and white; VIII, 149 p. 60 illus., 48 illus. in color., 1 Paperback / softback
  • Pub. Date: 15-Aug-2020
  • Publisher: Springer Nature Switzerland AG
  • ISBN-10: 3030159256
  • ISBN-13: 9783030159252
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Computational Biomechanics for Medicine: Personalisation, Validation and Therapy 2020 ed.Larger Image
  • Format: Paperback / softback, 149 pages, height x width: 235x155 mm, weight: 256 g, 48 Illustrations, color; 12 Illustrations, black and white; VIII, 149 p. 60 illus., 48 illus. in color., 1 Paperback / softback
  • Pub. Date: 15-Aug-2020
  • Publisher: Springer Nature Switzerland AG
  • ISBN-10: 3030159256
  • ISBN-13: 9783030159252
Other books in subject:
Permanent link: https://www.kriso.ee/db/9783030159252.html

This book contains contributions from computational biomechanics specialists who present and exchange opinions on the opportunities for applying their techniques to computer-integrated medicine, including computer-aided surgery and diagnostic systems. Computational Biomechanics for Medicine collects peer-reviewed chapters from the annual Computational Biomechanics for Medicine Workshop, in conjunction with the Medical Image Computing and Computer Assisted Intervention [ MICCAI] Society conference. The works are dedicated to research in the field of methods and applications of computational biomechanics to medical image analysis, image-guided surgery, surgical simulation, surgical intervention planning, disease diagnosis and prognosis, analysis of injury mechanisms, implant and prosthesis design, artificial organ design, and medical robotics. These chapters will appeal to a wide range of researchers and students within the fields of engineering and medicine, as well as those working in computational science. 

Chapter1. Biomechanical simulation of vaginal childbirth: the colors of
the pelvic floor muscles.
Chapter2. Patient-specific modeling of pelvic
system from MRI for numerical simulation: validation using a physical model.-
Chapter3. Numerical analysis of the risk of pelvis injuries under
multidirectional impact load.
Chapter4. Parametric study of lumbar belts in
the case of low back pain: effect of patients' specific characteristics.-
Chapter5. Quantitative validation of MRI-based motion estimation for brain
impact biomechanics.
Chapter6. Meshless method for simulation of needle
insertion into soft tissues: preliminary results.
Chapter7. A biomechanical
study on the use of curved drilling technique for treatment of osteonecrosis
of femoral head.
Chapter8. A hybrid 0D-1D model for cerebral circulation and
cerebral arteries.
Chapter9. Removing drift from carotid arterial pulse
waveforms: a comparison of motion correction and high-pass filtering.
Chapter10. Rapid blood flow computation on digital subtraction
angiography: preliminary results.
Chapter11. Muscle excitation estimation in
biomechanical simulation using NAF reinforcement learning.