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首页> 外文期刊>Medical and Biological Engineering and Computing: Journal of the International Federation for Medical and Biological Engineering >Generating anatomical models of the heart and the aorta from medical images for personalized physiological simulations
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Generating anatomical models of the heart and the aorta from medical images for personalized physiological simulations

机译:从医学图像生成心脏和主动脉的解剖模型以进行个性化的生理模拟

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摘要

The anatomy and motion of the heart and the aorta are essential for patient-specific simulations of cardiac electrophysiology, wall mechanics and hemodynamics. Within the European integrated project euHeart, algorithms have been developed that allow to efficiently generate patient-specific anatomical models from medical images from multiple imaging modalities. These models, for instance, account for myocardial deformation, cardiac wall motion, and patient-specific tissue information like myocardial scar location. Furthermore, integration of algorithms for anatomy extraction and physiological simulations has been brought forward. Physiological simulations are linked closer to anatomical models by encoding tissue properties, like the muscle fibers, into segmentation meshes. Biophysical constraints are also utilized in combination with image analysis to assess tissue properties. Both examples show directions of how physiological simulations could provide new challenges and stimuli for image analysis research in the future.
机译:心脏和主动脉的解剖结构和运动对于特定于患者的心脏电生理学,壁力学和血流动力学模拟至关重要。在欧洲综合项目euHeart内,已经开发了算法,这些算法可以从多种成像方式的医学图像中高效生成特定于患者的解剖模型。例如,这些模型考虑了心肌变形,心脏壁运动和患者特定的组织信息(如心肌疤痕位置)。此外,提出了用于解剖提取和生理模拟的算法的集成。通过将组织属性(如肌肉纤维)编码为分割网格,可以将生理模拟与解剖模型联系得更紧密。生物物理限制条件还可以与图像分析结合使用,以评估组织特性。这两个示例都说明了生理模拟如何为将来的图像分析研究提供新的挑战和刺激的方向。

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