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Titolo: | Computational Biomechanics for Medicine : Personalisation, Validation and Therapy / / edited by Martyn P. Nash, Poul M.F. Nielsen, Adam Wittek, Karol Miller, Grand R. Joldes |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
Edizione: | 1st ed. 2020. |
Descrizione fisica: | 1 online resource (150 pages) |
Disciplina: | 610.285 |
610.28 | |
Soggetto topico: | Biomedical engineering |
Computer mathematics | |
Radiology | |
Mechanics | |
Mechanics, Applied | |
Medical physics | |
Radiation | |
Robotics | |
Automation | |
Biomedical Engineering and Bioengineering | |
Computational Science and Engineering | |
Imaging / Radiology | |
Theoretical and Applied Mechanics | |
Medical and Radiation Physics | |
Robotics and Automation | |
Persona (resp. second.): | NashMartyn P |
NielsenPoul M.F | |
WittekAdam | |
MillerKarol | |
JoldesGrand R | |
Nota di contenuto: | 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. |
Sommario/riassunto: | 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. . |
Titolo autorizzato: | Computational Biomechanics for Medicine |
ISBN: | 3-030-15923-X |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910366577703321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |