Flow measurements in a blood-perfused collagen vessel using x-ray micro-particle image velocimetry.
Flow measurements in a blood-perfused collagen vessel using x-ray micro-particle image velocimetry.
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DOI：
10.1371/journal.pone.0081198
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发表时间：
2013
期刊：
影响因子：
3.7
通讯作者：
Vlachos P
中科院分区：
文献类型：
--
作者：
Antoine E;Buchanan C;Fezzaa K;Lee WK;Rylander MN;Vlachos P
血液灌注组织模型正在加入肿瘤工程的新兴领域，因为它们为调节肿瘤微环境和新疗法的治疗潜力的临床前评估提供了新途径。这种体外灌注组织模型中流体流动参数的表征是更好地理解和操纵肿瘤微环境的关键一步。然而，由于血液的不透明度和组织样本的厚度，传统的光流测量方法不适用。为了克服光学方法的局限性，我们证明了使用相衬 X 射线成像对血液灌注的水合组织代表微血管中的流量进行微尺度粒子图像测速 (PIV) 测量的可行性。然而，相衬 X 射线图像明显不同于传统的 PIV 图像范式，因为它们具有高强度背景、非常低的信噪比和体积积分效应。因此，为了实现精确测量，必须特别注意图像处理和 PIV 互相关方法。因此，我们开发并演示了一种方法，该方法结合了图像预处理以及先进的 PIV 互相关方法，可在实验不确定性内产生测量的速度。
Blood-perfused tissue models are joining the emerging field of tumor engineering because they provide new avenues for modulation of the tumor microenvironment and preclinical evaluation of the therapeutic potential of new treatments. The characterization of fluid flow parameters in such in-vitro perfused tissue models is a critical step towards better understanding and manipulating the tumor microenvironment. However, traditional optical flow measurement methods are inapplicable because of the opacity of blood and the thickness of the tissue sample. In order to overcome the limitations of optical method we demonstrate the feasibility of using phase-contrast x-ray imaging to perform microscale particle image velocimetry (PIV) measurements of flow in blood perfused hydrated tissue-representative microvessels. However, phase contrast x-ray images significantly depart from the traditional PIV image paradigm, as they have high intensity background, very low signal-to-noise ratio, and volume integration effects. Hence, in order to achieve accurate measurements special attention must be paid to the image processing and PIV cross-correlation methodologies. Therefore we develop and demonstrate a methodology that incorporates image preprocessing as well as advanced PIV cross-correlation methods to result in measured velocities within experimental uncertainty.
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