Jaggi J L, Obrist W D, Noordergraaf A
Department of Neurosurgery, University of Pennsylvania, Philadelphia.
Ann Biomed Eng. 1993 Mar-Apr;21(2):85-95. doi: 10.1007/BF02367604.
An anatomical model in conjunction with experimentally determined absorption data provides a framework to simulate signals as obtained from the noninvasive Xenon-133 cerebral blood flow technique. The contribution of individual tissue compartments to the total signal as well as the effect on the computed results were investigated under normal conditions. The introduction of physiological abnormalities into the model allowed the determination of sensitivity of the technique with respect to size, position, and perfusion level of the lesion. In addition, effects of cross-talk between hemispheres and signal overlap of adjacent detectors were quantified. It was found that the change of externally measured blood flow is proportional to the decrement/increment of flow in the lesion. Contrary to earlier reports, the effects of cross-talk and signal overlap were not found to be serious limitations in identifying lesions.
一个解剖模型结合实验测定的吸收数据提供了一个框架，用于模拟从无创氙-133脑血流技术获得的信号。在正常条件下，研究了各个组织隔室对总信号的贡献以及对计算结果的影响。将生理异常引入模型可以确定该技术对病变大小、位置和灌注水平的敏感性。此外，还对半球间串扰和相邻探测器信号重叠的影响进行了量化。结果发现，外部测量的血流变化与病变中血流的减少/增加成正比。与早期报告相反，串扰和信号重叠的影响在识别病变时并非严重限制。
