用于小鼠卒中模型的4D脑微血管成像平台的开发
Development of a 4D Cerebral Microvascular Imaging Platform for Mouse Stroke Model
- Tohoku University（东北大学）
机构由 AI 辅助整理，请以论文原文为准。
AI总结：
该研究开发了一种结合连续机械扫描的超声微血管成像平台，可在5秒内获取小鼠全脑血流信号，实现缺血和再灌注期间局部及全脑血流动力学的快速可视化评估。
AI中文摘要：
在缺血性卒中中，缺血期和再灌注期脑血流动力学的变化强烈影响卒中结局。然而，这些血流动力学变化仍未完全被理解。为应对这一挑战，我们设计了一个成像平台，能够在实验诱导小鼠模型缺血和再灌注期间实现时间分辨的超声微血管成像。该平台利用我们之前的超声成像框架并结合连续机械扫描，在5秒内获取全脑血流信号。实验表明，所提出的平台能够可视化局部和全脑对缺血及再灌注诱导的血流动力学响应，表明其在小动物模型中用于快速、连续全脑血流动力学评估的潜力。
英文摘要：
In ischemic stroke, changes in cerebral hemodynamics during both the ischemic and reperfusion phases strongly influence stroke outcomes. However, these hemodynamic changes remain incompletely understood. To address this challenge, we devised an imaging platform that enables time-resolved ultrasound microvascular imaging during the experimental induction of ischemia and reperfusion in a mouse model. The platform leverages our previous ultrasound imaging framework combined with continuous mechanical scanning, which acquires whole-brain blood-flow signals within 5 s. The experiments demonstrated that the proposed platform can visualize both local and whole-brain hemodynamic responses to the induction of ischemia and reperfusion, suggesting its potential for rapid and continuous whole-brain hemodynamic assessment in small-animal models.
