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Anatomical and Functional Images of in vitro and in vivo Tissues by NIR Time-domain Diffuse Optical Tomography

机译:NIR时域漫射光学层析成像在体内和体外组织的解剖和功能图像

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摘要

Near infra-red (NIR) diffuse optical tomography (DOT) has gained much attention and it will be clinically applied to imaging breast, neonatal head, and the hemodynamics of the brain because of its noninvasiveness and deep penetration in biological tissue. Prior to achieving the imaging of infant brain using DOT, the developed methodologies need to be experimentally justified by imaging some real organs with simpler structures. Here we report our results of an in vitro chicken leg and an in vivo exercising human forearm from the data measured by a multi-channel time-resolved NIR system. Tomographic images were reconstructed by a two-dimensional image reconstruction algorithm based on a modified generalized pulse spectrum technique for simultaneous reconstruction of the μ_a and μ'_s. The absolute μ_a~- and μ'_s -images revealed the inner structures of the chicken leg and the forearm, where the bones were clearly distinguished from the muscle. The Δμ_a-images showed the blood volume changes during the forearm exercise, proving that the system and the image reconstruction algorithm could potentially be used for imaging not only the anatomic structure but also the hemodynamics in neonatal heads.
机译:近红外(NIR)漫射光学层析成像(DOT)已引起广泛关注,并且由于其无创性和在生物组织中的深入渗透性,它将在临床上用于乳腺,新生儿头以及大脑的血流动力学成像。在使用DOT实现婴儿脑成像之前,需要通过对一些具有简单结构的真实器官进行成像来通过实验证明所开发的方法是合理的。在这里,我们从多通道时间分辨NIR系统测量的数据中报告了体外鸡腿和体内前臂运动的结果。断层图像通过二维图像重建算法重建,该算法基于改进的广义脉冲频谱技术同时重建μ_a和μ'_s。绝对的μ_a〜-和μ'_s-图像显示了鸡腿和前臂的内部结构,骨骼与肌肉明显区分开。 Δμ_a图像显示了前臂运动过程中的血容量变化,证明该系统和图像重建算法不仅可以用于对新生儿头部的解剖结构进行成像,而且还可以对血液动力学进行成像。

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