用于定量脑血流成像的光学相干多普勒断层扫描术。
Optical coherence Doppler tomography for quantitative cerebral blood flow imaging.
作者信息
You Jiang, Du Congwu, Volkow Nora D, Pan Yingtian
机构信息
Department of Biomedical Engineering Stony Brook University, Stony Brook, NY 11794, USA.
National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD 20892, USA.
出版信息
Biomed Opt Express. 2014 Aug 28;5(9):3217-30. doi: 10.1364/BOE.5.003217. eCollection 2014 Sep 1.
Abstract
Optical coherence Doppler tomography (ODT) is a promising neurotechnique that permits 3D imaging of the cerebral blood flow (CBF) network; however, quantitative CBF velocity (CBFv) imaging remains challenging. Here we present a simple phase summation method to enhance slow capillary flow detection sensitivity without sacrificing dynamic range for fast flow and vessel tracking to improve angle correction for absolute CBFv quantification. Flow phantom validation indicated that the CBFv quantification accuracy increased from 15% to 91% and the coefficient of variation (CV) decreased 9.3-fold; in vivo mouse brain validation showed that CV decreased 4.4-/10.8- fold for venular/arteriolar flows. ODT was able to identify cocaine-elicited microischemia and quantify CBFv disruption in branch vessels and capillaries that otherwise would have not been possible.
摘要
光学相干多普勒断层扫描（ODT）是一种很有前景的神经技术，可对脑血流（CBF）网络进行三维成像；然而，定量脑血流速度（CBFv）成像仍然具有挑战性。在此，我们提出一种简单的相位求和方法，以提高对缓慢毛细血管血流检测的灵敏度，同时不牺牲对快速血流和血管追踪的动态范围，从而改善绝对CBFv定量的角度校正。血流模型验证表明，CBFv定量准确性从15%提高到91%，变异系数（CV）降低了9.3倍；体内小鼠脑验证表明，静脉/动脉血流的CV分别降低了4.4/10.8倍。ODT能够识别可卡因引发的微缺血，并量化分支血管和毛细血管中CBFv的破坏情况，否则这是不可能实现的。
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