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Titlebook: Computational Biomechanics for Medicine; Towards Automation a Martyn P. Nash,Adam Wittek,Karol Miller Conference proceedings 2023 The Edito

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楼主: GLAZE
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Automated Modeling of Brain Bioelectric Activity Within the 3D Slicer EnvironmentEEG forward problem on the predicted postoperative geometry using the finite element method (FEM) which accounts for patient-specific inhomogeneity and anisotropy of tissue conductivity. We use an epilepsy case study to illustrate the workflow of our framework developed and integrated within 3D Slicer.
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Effect of Mechanical Aortic Valves on Coronary Artery Flow in a Patient Suffering from Ischemic Hearoronary flow reserve (FFR) value. The predicted value of the FFR ratio for the natural valve is 82% while the FFR value from coronarography is 83%. The predicted FFR values for BIL and TRI mechanical valves are 77% and 75%, respectively.
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Workflow for Generating Personalised Anatomical Models of the Skeleton and the Skin Surface of the Ured with patients positioned in the prone orientation with arms either above their heads or by their sides. However, treatment procedures such as surgery are performed in the supine position. Differences in the skeletal pose, and the large deformations that the breast undergoes during repositioning,
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Automated Modeling of Brain Bioelectric Activity Within the 3D Slicer Environmentused to inform treatment planning for epilepsy surgery when paired with numerical modeling. For solving the inverse problem in epilepsy seizure onset localization, accurate solution of the iEEG forward problem is critical which requires accurate representation of the patient’s brain geometry and tis
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