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Quantitative Assessment of Ischemia and Reactive Hyperemia of the Dermal Layers using Multi - Spectral Imaging on the Human Arm

机译:人体手臂多光谱成像定量评价真皮层缺血和反应性充血

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Quantitative assessment of skin chromophores in a non-invasive fashion is often desirable. Especially pixel wise assessment of blood volume and blood oxygenation is beneficial for improved diagnostics. We utilized a multi-spectral imaging system for acquiring diffuse reflectance images of healthy volunteers' lower forearm. Ischemia and reactive hyperemia was introduced by occluding the upper arm with a pressure cuff for 5min with 180mmHg. Multi-spectral images were taken every 30s, before, during and after occlusion. Image reconstruction for blood volume and blood oxygenation was performed, using a two layered skin model. As the images were taken in a non-contact way, strong artifacts related to the shape (curvature) of the arms were observed, making reconstruction of optical / physiological parameters highly inaccurate. We developed a curvature correction method, which is based on extracting the curvature directly from the intensity images acquired and does not require any additional measures on the object imaged. The effectiveness of the algorithm was demonstrated, on reconstruction results of blood volume and blood oxygenation for in vivo data during occlusion of the arm. Pixel wise assessment of blood volume and blood oxygenation was made possible over the entire image area and comparison of occlusion effects between veins and surrounding skin was performed. Induced ischemia during occlusion and reactive hyperemia afterwards was observed and quantitatively assessed. Furthermore, the influence of epidermal thickness on reconstruction results was evaluated and the exact knowledge of this parameter for fully quantitative assessment was pointed out.
机译:通常需要以无创方式对皮肤发色团进行定量评估。尤其是逐个像素地评估血容量和血氧合有助于改善诊断。我们利用多光谱成像系统获取健康志愿者下臂的漫反射图像。通过用180mmHg的压力袖带封堵上臂5分钟,引入局部缺血和反应性充血。在闭塞之前,之中和之后每30秒拍摄一次多光谱图像。使用两层皮肤模型对血容量和血氧合进行图像重建。由于以非接触方式拍摄图像,因此观察到与手臂形状(曲率)有关的强烈伪影,从而使光学/生理参数的重建非常不准确。我们开发了一种曲率校正方法,该方法基于直接从采集的强度图像中提取曲率,并且不需要对成像的对象采取任何其他措施。在手臂闭塞期间体内数据的血容量和血氧合重建结果上证明了该算法的有效性。在整个图像区域进行血容量和血氧饱和度的逐像素评估,并比较了静脉和周围皮肤之间的阻塞效果。观察并定量评估闭塞期间诱发的局部缺血和反应性充血。此外,评估了表皮厚度对重建结果的影响,并指出了对该参数进行完全定量评估的确切知识。

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