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Record Nr. |
UNINA9910366577703321 |
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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 |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (150 pages) |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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 |
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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. |
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Sommario/riassunto |
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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. . |
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