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In vivo transcranial imaging of blood perfusion in rat brain using contrast-enhanced ultrasound

机译:使用对比增强超声对大鼠脑内血液灌注进行体内经颅成像

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We have investigated the feasibility of in vivo high resolution imaging of blood perfusion in the rat brain tissue using a dual-mode ultrasound array (DMUA). The DMUA is capable of generating therapeutic transcranial focused ultrasound (tFUS) beams as well as forming images of the target in synthetic-aperture (SA) mode. Low mechanical index (MI) SA frames are used to estimate the dynamic changes in perfusion, which could be used for guidance, monitoring, or damage assessment. We have previously demonstrated the advantages of the post-beamforming third-order Volterra filter in imaging nonlinear echo components due to UCA oscillations using diagnostic probes. In this study, we decompose the beamformed transcranial DMUA SA data into its linear, quadratic, and cubic components and evaluate a temporal perfusion index (TPI) to characterize perfusion. The data collection used a 3.2-MHz, concave (40-mm ROC) DMUA operating in SA mode at a frame rate of approximately 23 fps and in the low MI setting (about 0.05 to 0.11). The experiment was performed on healthy rats (250-300 grams). Targestar-P UCA (60 μL in 140 μL of sterile saline) was injected through the animal tail vein. Images from the linear, quadratic, and cubic components were formed as LB-mode, QB-mode and CB-mode, respectively. TPI image frames were computed from each image component after limiting the dynamic range appropriately. The results clearly show separation of TPI values and demonstrate the feasibility of high-resolution estimation of blood perfusion in rat brain transcranially.
机译:我们已经研究了使用双模式超声阵列(DMUA)对大鼠脑组织中的血液灌注进行体内高分辨率成像的可行性。 DMUA能够产生治疗性经颅聚焦超声(tFUS)束,并以合成孔径(SA)模式形成目标的图像。低机械指数(MI)SA框架用于估计灌注的动态变化,可用于指导,监测或损伤评估。先前我们已经证明了使用诊断探头,由于UCA振荡而使后波束形成三阶Volterra滤波器在成像非线性回波分量方面的优势。在这项研究中,我们将波束形成的经颅DMUA SA数据分解为线性,二次和三次分量,并评估时间灌注指数(TPI)以表征灌注。数据收集使用3.2 MHz凹形(40 mm ROC)DMUA,以SA模式工作,帧速率约为23 fps,且MI设置较低(约0.05至0.11)。实验是在健康大鼠(250-300克)上进行的。通过动物尾静脉注射Targestar-P UCA(60μL在140μL无菌盐水中)。来自线性,二次和三次分量的图像分别形成为LB模式,QB模式和CB模式。在适当限制动态范围后,从每个图像分量计算TPI图像帧。结果清楚地表明了TPI值的分离,并证明了高分辨率评估大鼠颅内颅血灌注的可行性。

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