一种用于确定医学图像序列因子分析（FAMIS）中最优度量的统计模型。
A statistical model for the determination of the optimal metric in factor analysis of medical image sequences (FAMIS).
作者信息
Benali H, Buvat I, Frouin F, Bazin J P, Di Paola R
机构信息
U66 INSERM, Institut Gustave Roussy, Villejuif, France.
出版信息
Phys Med Biol. 1993 Aug;38(8):1065-80. doi: 10.1088/0031-9155/38/8/005.
A statistical model is added to the conventional physical model underlying factor analysis of medical image sequences (FAMIS). It allows a derivation of the optimal metric to be used for the orthogonal decomposition involved in FAMIS. The oblique analysis of FAMIS is extended to take this optimal metric into account. The case of scintigraphic image sequences is used. We derive in this case that the optimal decomposition is obtained by correspondence analysis. A scintigraphic dynamic study illustrates the practical consequences of the use of the optimal metric in FAMIS.
在医学图像序列因子分析（FAMIS）的传统物理模型基础上添加了一个统计模型。它允许推导用于FAMIS中涉及的正交分解的最优度量。FAMIS的斜交分析得到扩展，以考虑这个最优度量。使用了闪烁图像序列的情况。在这种情况下，我们推导出通过对应分析可获得最优分解。一项闪烁动态研究说明了在FAMIS中使用最优度量的实际结果。
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