Images as drivers of progress in cardiac computational modelling.

Images as drivers of progress in cardiac computational modelling.
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DOI:
10.1016/j.pbiomolbio.2014.08.005
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发表时间:
2014-08
影响因子:
3.8
通讯作者:
Grau V
Grau V
中科院分区:
生物学3区
文献类型:
--
作者:
Lamata P;Casero R;Carapella V;Niederer SA;Bishop MJ;Schneider JE;Kohl P;Grau V

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计算模型已成为心脏研究的基本工具。模型正在发展,以涵盖多种尺度和物理机制。他们正在转向对个性化结构和功能的机械描述,包括自然变化的影响。这些发展在很大程度上得到了成像技术进步的支持。本文综述了新的成像技术,或创新的使用和扩展的建立,与计算模型和驱动新的见解心脏生物物理学。在结构表征方面,我们讨论了成像如何允许从细胞水平到整个器官的广泛尺度。我们分析了如何从结构到功能成像的演变为计算模型开辟了新的途径,在这方面,我们审查的电活动,力学和流量的测量方法。最后,我们考虑了联合成像和建模研究可能继续推进心脏研究的方式,并确定了一些仍有待解决的主要挑战。
Computational models have become a fundamental tool in cardiac research. Models are evolving to cover multiple scales and physical mechanisms. They are moving towards mechanistic descriptions of personalised structure and function, including effects of natural variability. These developments are underpinned to a large extent by advances in imaging technologies. This article reviews how novel imaging technologies, or the innovative use and extension of established ones, integrate with computational models and drive novel insights into cardiac biophysics. In terms of structural characterization, we discuss how imaging is allowing a wide range of scales to be considered, from cellular levels to whole organs. We analyse how the evolution from structural to functional imaging is opening new avenues for computational models, and in this respect we review methods for measurement of electrical activity, mechanics and flow. Finally, we consider ways in which combined imaging and modelling research is likely to continue advancing cardiac research, and identify some of the main challenges that remain to be solved.
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