多普勒效应
超声波
功能成像
帧速率
神经影像学
经颅多普勒
血流
信号(编程语言)
大脑活动与冥想
生物医学工程
计算机科学
物理
人工智能
声学
医学
脑电图
放射科
精神科
程序设计语言
天文
作者
Émilie Macé,Gabriel Montaldo,Bruno-Félix Osmanski,Ivan Cohen,Mathias Fink,Mickaël Tanter
出处
期刊:IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
[Institute of Electrical and Electronics Engineers]
日期:2013-03-01
卷期号:60 (3): 492-506
被引量:223
标识
DOI:10.1109/tuffc.2013.2592
摘要
Hemodynamic changes in the brain are often used as surrogates of neuronal activity to infer the loci of brain activity. A major limitation of conventional Doppler ultrasound for the imaging of these changes is that it is not sensitive enough to detect the blood flow in small vessels where the major part of the hemodynamic response occurs. Here, we present a μDoppler ultrasound method able to detect and map the cerebral blood volume (CBV) over the entire brain with an important increase in sensitivity. This method is based on imaging the brain at an ultrafast frame rate (1 kHz) using compounded plane wave emissions. A theoretical model demonstrates that the gain in sensitivity of the μDoppler method is due to the combination of 1) the high signal-to-noise ratio of the gray scale images, resulting from the synthetic compounding of backscattered echoes; and 2) the extensive signal averaging enabled by the high temporal sampling of ultrafast frame rates. This μDoppler imaging is performed in vivo on trepanned rats without the use of contrast agents. The resulting images reveal detailed maps of the rat brain vascularization with an acquisition time as short as 320 ms per slice. This new method is the basis for a real-time functional ultrasound (fUS) imaging of the brain.
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