Multifractal and lacunarity analysis of microvascular morphology and remodeling.
Multifractal and lacunarity analysis of microvascular morphology and remodeling.
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DOI：
10.1111/j.1549-8719.2010.00075.x
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发表时间：
2011-02
期刊：
影响因子：
--
通讯作者：
Dickinson ME
中科院分区：
文献类型：
--
作者：
Gould DJ;Vadakkan TJ;Poché RA;Dickinson ME
血管形态的经典测量，包括直径和密度，被用来研究内皮膜标记的小鼠的微血管形成。事实证明，这些测量对于一些研究来说是足够的；然而，它们不太适合于量化缺乏等级结构的微循环网络的变化。我们证明了自动多重分形分析和空隙可以与经典方法一起用于微血管形态的量化。我们提出了一个具有处理流水线的自动提取工具，利用多重分形分析和空隙来表征3D微血管的2D表示。我们将我们的分析应用于重塑过程中的四个组织和玻璃体血管。我们发现，所分析的血管网络具有多重分形几何结构，与皮质、皮肤和大腿肌肉中的微血管网络相比，肾脏微血管网络具有最大的分维和最低的空隙。此外，我们还发现，在玻璃体重塑过程中，多重分形谱存在差异，反映了从滋养晶状体的空间充盈血管到退化时密度较低的血管的功能转变，从而允许视觉畅通。多重分形分析和空隙是对血管形态的经典度量的有价值的补充，并将在未来对正常组织、发育组织和病理组织的研究中发挥作用。
Classical measures of vessel morphology including diameter and density are employed to study microvasculature in endothelial membrane labeled mice. These measurements prove sufficient for some studies; however they are less well suited for quantifying changes in microcirculatory networks lacking hierarchical structure. We demonstrate automated multifractal analysis and lacunarity may be used with classical methods to quantify microvascular morphology. We present an automated extraction tool with a processing pipeline to characterize 2D representations of 3D microvasculature, using multifractal analysis and lacunarity. We apply our analysis on four tissues and the hyaloid vasculature during remodeling. We found that the vessel networks analyzed have multifractal geometries and that kidney microvasculature has the largest fractal dimension and the lowest lacunarity compared to microvasculature networks in the cortex, skin, and thigh muscle. Also, we found that during hyaloid remodeling, there were differences in multifractal spectra reflecting the functional transition from a space filling vasculature which nurtures the lens to a less dense vasculature as it regresses, permitting unobstructed vision. Multifractal analysis and lacunarity are valuable additions to classical measures of vascular morphology and will have utility in future studies of normal, developing and pathological tissues.
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影响因子：
64.5
作者：
LANG, RA;BISHOP, JM
通讯作者：
BISHOP, JM
影响因子：
9.9
作者：
Doubal, F. N.;MacGillivray, T. J.;Wardlaw, J. M.
通讯作者：
Wardlaw, J. M.
影响因子：
5
作者：
Lin, Ken Young;Maricevich, Marco;Mahmood, Umar
通讯作者：
Mahmood, Umar
DOI：
10.1002/ar.20821
发表时间：
2009-03
影响因子：
2
作者：
Larina, Irina V.;Shen, Wei;Kelly, Olivia G.;Hadjantonakis, Anna-Katerina;Baron, Margaret H.;Dickinson, Mary E.
通讯作者：
Dickinson, Mary E.
影响因子：
7.3
作者：
FONTANINI, G;BIGINI, D;BEVILACQUA, G
通讯作者：
BEVILACQUA, G