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从医学图像生成心脏和主动脉的解剖模型,用于个性化生理模拟。

Generating anatomical models of the heart and the aorta from medical images for personalized physiological simulations.

机构信息

Philips Research Laboratories, Hamburg, Germany,

出版信息

Med Biol Eng Comput. 2013 Nov;51(11):1209-19. doi: 10.1007/s11517-012-1027-0. Epub 2013 Jan 30.

Abstract

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.

摘要

心脏和主动脉的解剖结构和运动对于心脏电生理学、壁力学和血液动力学的患者特定模拟至关重要。在欧洲集成项目 euHeart 中,已经开发出了算法,这些算法可以从多种成像模式的医学图像中高效地生成患者特定的解剖模型。这些模型例如可以考虑心肌变形、心脏壁运动以及心肌瘢痕位置等患者特定的组织信息。此外,还提出了用于解剖提取和生理模拟的算法集成。通过将组织特性(如肌肉纤维)编码到分割网格中,将生理模拟与解剖模型更紧密地联系起来。还利用生物物理约束与图像分析相结合来评估组织特性。这两个例子都展示了未来生理模拟如何为图像分析研究提供新的挑战和刺激的方向。

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