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Spatial patterns and frequency distributions of regional deformation in the healthy human lung

机译:健康人肺中区域变形的空间模式和频率分布

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Understanding regional deformation in the lung has long attracted the medical community, as parenchymal deformation plays a key role in respiratory physiology. Recent advances in image registration make it possible to noninvasively study regional deformation, showing that volumetric deformation in healthy lungs follows complex spatial patterns not necessarily shared by all subjects, and that deformation can be highly anisotropic. In this work, we systematically study the regional deformation in the lungs of eleven human subjects by means of in vivo image-based biomechanical analysis. Regional deformation is quantified in terms of 3D maps of the invariants of the right stretch tensor, which are related to regional changes in length, surface and volume. Based on the histograms of individual lungs, we show that log-normal distributions adequately represent the frequency distribution of deformation invariants in the lung, which naturally motivates the normalization of the invariant fields in terms of the log-normal score. Normalized maps of deformation invariants allow for a direct intersubject comparison, as they display spatial patterns of deformation in a range that is common to all subjects. For the population studied, we find that lungs in supine position display a marked gradient along the gravitational direction not only for volumetric but also for length and surface regional deformation, highlighting the role of gravity in the regional deformation of normal lungs under spontaneous breathing.
机译:了解肺部的区域变形长期吸引了医学界,因为实质变形在呼吸生理学中起着关键作用。图像登记的最新进展使得可以非侵入地研究区域变形,表明健康肺中的容量变形遵循所有受试者不一定共享的复杂的空间模式,并且变形可以是高度各向异性的。在这项工作中,我们通过基于体内图像的生物力学分析系统地系统地研究了11人受试者的肺部区域变形。区域变形在右侧拉伸张量不变的3D地图方面量化,这与长度,表面和体积的区域变化有关。基于个体肺的直方图,我们表明,日志正态分布充分代表肺中变形不变的频率分布,这自然地激励了对日志正常得分的归一流字段的标准化。变形不变的归一化映射允许直接的Intershject比较,因为它们在所有受试者共用的范围内显示出变形的空间模式。对于所研究的人口,我们发现仰卧位的肺部沿着引力方向显示出标记的梯度,不仅用于体积,而且对于长度和表面区域变形,突出了重力在自发呼吸下正常肺部的区域变形的作用。

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