【摘要】 目的 基于经典扩散方程建模求解,设计并研制脑组织通道磁示踪成像分析仪。材料与方法 建立信号源导入系统,设计多频段射频激发与信号采集单元,开发图像处理、建模计算与可视化模块,集成脑组织通道磁示踪成像分析仪。将12只成年雄性斯普拉-道来氏大鼠随机平均分成两组,分别应用传统磁示踪法技术方案(n=6)与本研究系统方案(n=6)进行探测,计算并比较扩散系数和容积占比等参数,对组织液(interstitial fluid,ISF)引流过程进行可视化。结果 该仪器可同步提供鼠脑细胞外间隙(extracellular space,ECS)结构参数及其内分子扩散情况,实现ISF引流途径的全脑示踪。相对于传统技术方案组,本研究系统组扩散系数和容积占比均下降(P均<0.01),且两个测量结果的标准差均减小。结论 脑组织通道磁示踪成像分析仪的研发将ECS探测过程标准化、自动化,使得探测结果更加稳定、更趋向于真实水平,为后续兼容电阻抗、化学等多种信息的ECS探测仪器的研发奠定了基础。更多还原

【Abstract】 Objective: To design and develop a brain tissue channel tracer-based magnetic resonance imaging analyzer based on the classical diffusion equation. Materials and Methods: A signal source import system was established. Multi-band radio frequency excitation and signal acquisition units were designed. Image processing, modeling calculation and visualization modules were developed. The tracer-based magnetic resonance imaging analyzer for brain tissue channels was integrated. Twelve adult male Sprague Dawley rats were randomly divided into two groups on average. The traditional(n=6) and the current(n=6) research system scheme were respectively applied for detection. The diffusion coefficient and volume fraction were calculated and compared. The drainage process of interstitial fluid(ISF) was visualized. Results: The instrument can simultaneously provide the structural parameters and the internal molecular diffusion of extracellular space(ECS) in rat brain, and realize the whole brain tracing of the ISF drainage pathway. Compared with the traditional scheme group, both diffusion coefficient and volume fraction decreased(P<0.01). And the standard deviation of the two measurement results decreased. Conclusions: The development of the brain tissue channel tracer-based magnetic resonance imaging analyzer standardizes and automates the ECS detection process, making the detection results more stable and more realistic, laying a foundation for the subsequent research and development of ECS detection instruments compatible with electrical impedance, chemistry and other information.更多还原