深度选择性声光血流测量
Depth selective acousto-optic flow measurement.
作者信息
Tsalach Adi, Schiffer Zeev, Ratner Eliahu, Breskin Ilan, Zeitak Reuven, Shechter Revital, Balberg Michal
机构信息
Ornim Medical Ltd, 15 Atir Yeda st. Kfar Saba, 4464312, Israel.
出版信息
Biomed Opt Express. 2015 Nov 17;6(12):4871-86. doi: 10.1364/BOE.6.004871. eCollection 2015 Dec 1.
Abstract
Optical based methods for non-invasive measurement of regional blood flow tend to incorrectly assess cerebral blood flow, due to contribution of extra-cerebral tissues to the obtained signal. We demonstrate that spectral analysis of phase-coded light signals, tagged by specific ultrasound patterns, enables differentiation of flow patterns at different depths. Validation of the model is conducted by Monte Carlo simulation. In-vitro experiments demonstrate good agreement with the simulations' results and provide a solid validation to depth discrimination ability. These results suggest that signal contamination originating from extra-cerebral tissue may be eliminated using spectral analysis of ultrasonically tagged light.
摘要
基于光学的区域血流无创测量方法往往会错误地评估脑血流量，这是因为脑外组织会对所获得的信号产生影响。我们证明，通过特定超声模式标记的相位编码光信号的光谱分析能够区分不同深度的血流模式。该模型通过蒙特卡罗模拟进行验证。体外实验表明与模拟结果高度吻合，并为深度辨别能力提供了有力验证。这些结果表明，使用超声标记光的光谱分析可以消除源自脑外组织的信号污染。
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