Frouin F, Bazin J P, Di Paola M, Jolivet O, Di Paola R
U66 INSERM, Institut Gustave-Roussy, Villejuif, France.
Comput Med Imaging Graph. 1992 Mar-Apr;16(2):81-91. doi: 10.1016/0895-6111(92)90121-o.
An increased number of image sequences is acquired in all modalities of the biomedical imaging field in order to study displacement or metabolism of a tracer or a contrast agent. It requires effective processing methods to estimate the underlying physiological components. We have developed a software package based on factor analysis algorithms which can adapt to various imaging modalities and its extension to double-indexed image sequences. We describe general characteristics of the software and present the main points of the user-friendly interface. The performances of the package are discussed and the possibilities of the methodology are illustrated using an example in magnetic resonance imaging.
在生物医学成像领域的所有模态中,采集的图像序列数量都有所增加,以便研究示踪剂或造影剂的位移或代谢情况。这需要有效的处理方法来估计潜在的生理成分。我们基于因子分析算法开发了一个软件包,它可以适应各种成像模态及其向双索引图像序列的扩展。我们描述了该软件的一般特性,并介绍了用户友好界面的要点。讨论了该软件包的性能,并通过磁共振成像中的一个例子说明了该方法的可能性。