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二次谐波产生成像和傅里叶变换光谱分析显示疲劳加载肌腱中的损伤。

Second harmonic generation imaging and Fourier transform spectral analysis reveal damage in fatigue-loaded tendons.

机构信息

Leni & Peter W. May Department of Orthopaedics, Mount Sinai School of Medicine, New York, NY 10029, USA.

出版信息

Ann Biomed Eng. 2010 May;38(5):1741-51. doi: 10.1007/s10439-010-9976-7. Epub 2010 Mar 16.

Abstract

Conventional histologic methods provide valuable information regarding the physical nature of damage in fatigue-loaded tendons, limited to thin, two-dimensional sections. We introduce an imaging method that characterizes tendon microstructure three-dimensionally and develop quantitative, spatial measures of damage formation within tendons. Rat patellar tendons were fatigue loaded in vivo to low, moderate, and high damage levels. Tendon microstructure was characterized using multiphoton microscopy by capturing second harmonic generation signals. Image stacks were analyzed using Fourier transform-derived computations to assess frequency-based properties of damage. Results showed 3D microstructure with progressively increased density and variety of damage patterns, characterized by kinked deformations at low, fiber dissociation at moderate, and fiber thinning and out-of-plane discontinuities at high damage levels. Image analysis generated radial distributions of power spectral gradients, establishing a "fingerprint" of tendon damage. Additionally, matrix damage was mapped using local, discretized orientation vectors. The frequency distribution of vector angles, a measure of damage content, differed from one damage level to the next. This study established an objective 3D imaging and analysis method for tendon microstructure, which characterizes directionality and anisotropy of the tendon microstructure and quantitative measures of damage that will advance investigations of the microstructural basis of degradation that precedes overuse injuries.

摘要

传统的组织学方法提供了有关疲劳加载肌腱损伤物理性质的有价值信息,仅限于薄的二维切片。我们引入了一种成像方法,该方法可以三维地描述肌腱的微观结构,并开发出定量的、空间的肌腱内损伤形成的测量方法。我们将大鼠髌腱在体内进行低、中、高损伤水平的疲劳加载。使用多光子显微镜通过捕获二次谐波产生信号来描述肌腱的微观结构。使用基于傅立叶变换的计算方法对图像堆栈进行分析,以评估损伤的基于频率的特性。结果显示了具有逐渐增加的密度和损伤模式多样性的 3D 微观结构,其特征在于低水平时的扭曲变形、中等水平时的纤维分离以及高水平时的纤维变薄和平面外不连续性。图像分析生成了功率谱梯度的径向分布,建立了肌腱损伤的“指纹”。此外,使用局部离散方向向量来绘制基质损伤。向量角度的频率分布,即损伤含量的度量,在不同的损伤水平之间有所不同。这项研究建立了一种用于肌腱微观结构的客观的 3D 成像和分析方法,该方法可以描述肌腱微观结构的方向性和各向异性,以及定量的损伤测量方法,这将推动对过度使用损伤之前的微观结构降解基础的研究。

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