Nijran K S, Barber D C
Phys Med Biol. 1986 Oct;31(10):1107-17. doi: 10.1088/0031-9155/31/10/004.
The computation of physiological factors and factor images by factor analysis in dynamic structures using the constraints of positive factors and spatial distribution of these factors (FADS), currently used by a number of research workers, is investigated. While the positivity constraints used may be quite acceptable physically, they cannot be strictly said to have direct correlations with the underlying physiological mechanisms in a dynamic study. In principle, FADS estimates the underlying model in the absence of a priori physiological information, and therefore, it is possible that in some situations an incorrect model is extracted. A procedure called IBFADS (information-based factor analysis in dynamic structures) is described which incorporates the IM (intersection method) technique previously developed into FADS, in order to reduce the error in the estimation of the correct model. IM uses a constraint based on physiology of one of the dynamic structures in the model. A computer simulated dynamic phantom study is used to demonstrate IBFADS.
研究了目前一些研究人员所使用的通过因子分析在动态结构中利用正因子约束及其空间分布来计算生理因子和因子图像(FADS)的方法。虽然所使用的正性约束在物理上可能相当合理,但严格来说,它们与动态研究中的潜在生理机制并无直接关联。原则上,FADS在缺乏先验生理信息的情况下估计潜在模型,因此,在某些情况下有可能提取到错误的模型。描述了一种称为IBFADS(动态结构中基于信息的因子分析)的方法,该方法将先前开发的IM(相交法)技术纳入FADS,以减少正确模型估计中的误差。IM使用基于模型中一个动态结构生理学的约束。通过计算机模拟动态体模研究来演示IBFADS。