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Space-directional approach to improve blood vessel visualization and temporal resolution in laser speckle contrast imaging

机译:空间定向方法可改善激光散斑对比度成像中的血管可视化和时间分辨率

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摘要

Blood flow is a parameter used to diagnose vascular diseases based on flow speed, blood pressure, and vessel size. Different techniques have been developed to estimate the relative blood flow speed and to improve the visualization of deep blood vessels; one such technique is laser speckle contrast imaging (LSCI). LSCI images contain a high level of noise mainly when deep blood vessels are imaged. To improve their visualization, several approaches for contrast computation have been developed. However, there is a compromise between noise attenuation and temporal resolution. On the one hand, spatial approaches have low spatial resolution, high temporal resolution, and significant noise attenuation, while temporal approaches have the opposite. A recent approach combines a temporal base with a directional process that allows improving the visualization of blood vessels. Nevertheless, it still contains a high level of noise and requires a high number of raw frames for its base. We propose, a space-directional approach focused on improving noise attenuation and temporal resolution for contrast computation. The results of reference approaches and the proposed one are compared quantitatively. Moreover, it is shown that the visualization of blood vessels in LSCI images can be improved by a general morphological process when the noise level is reduced.
机译:血流是用于根据流速,血压和血管大小诊断血管疾病的参数。已经开发出不同的技术来估计相对血流速度并改善深血管的可视化。一种这样的技术是激光散斑对比度成像(LSCI)。 LSCI图像包含高水平的噪声,主要是在对深血管成像时。为了改善其可视化,已经开发了几种用于对比度计算的方法。但是,噪声衰减和时间分辨率之间存在折衷。一方面,空间方法具有低空间分辨率,高时间分辨率和显着的噪声衰减,而时间方法则相反。最近的方法将时间基础与定向过程相结合,该定向过程允许改善血管的可视化。但是,它仍然包含高水平的噪声,并且需要大量原始帧作为其基础。我们提出一种空间方向的方法,着重于改善噪声衰减和时间分辨率以进行对比度计算。定量比较了参考方法和提出的方法的结果。此外,显示出当降低噪声水平时,通过一般的形态学过程可以改善LSCI图像中血管的可视化。

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