Kotzki P O, Touzery C, Munsch T, Riedinger J M, Gogou L, Piffaut P, Bidan Y, Pelletier J L
Service de Biophysique et Médecine Nucléaire, Centre Georges François Leclerc, Dijon, France.
Eur J Nucl Med. 1987;13(9):450-5. doi: 10.1007/BF00281859.
Orthogonal and oblique factor analysis represent an alternative to Fourier analysis in the evaluation of cardiac dynamic behaviour in gated blood pool studies. In order to estimate their respective places, orthogonal factor analysis (OFA), factor analysis of dynamic structures (FADS) and Fourier analysis (FA) are tested on a dynamic and periodical phantom with well known and reproducible kinetics. The phantom data are acquired under standard conditions by varying the counting rates and the temporal frequency sampling. To compare the results of the three methods with maximal objectivity, the relative contribution of each component is calculated. With standard acquisition conditions, FA and OFA give very close results. Only a minor advantage in evaluation of small phase differences is observed with OFA. FADS solutions are effectively related to the dynamic behaviour of the phantom, but their interpretation is more complicated and the quality of the oblique factors is reduced as the number of calculated factors increases. The influence of the counting statistics on FA, OFA and FADS is very similar. However, in cases of undersampling, robustness is demonstrated with the factorial technics.
在门控血池研究中评估心脏动力学行为时，正交因子分析和斜交因子分析是傅里叶分析的替代方法。为了估计它们各自的地位，在具有已知且可重复动力学的动态周期性模型上测试了正交因子分析（OFA）、动态结构因子分析（FADS）和傅里叶分析（FA）。通过改变计数率和时间频率采样，在标准条件下获取模型数据。为了以最大的客观性比较这三种方法的结果，计算了每个成分的相对贡献。在标准采集条件下，FA和OFA给出非常接近的结果。仅在评估小相位差时，OFA有微小优势。FADS解与模型的动力学行为有效相关，但其解释更复杂，并且随着计算因子数量的增加，斜交因子的质量会降低。计数统计对FA、OFA和FADS的影响非常相似。然而，在欠采样的情况下，因子分析技术显示出稳健性。
