Image Sequence Processing Using Factor Analysis And Compartmental Modelling

Frederique Frouin; Jean-Pierre Bazin; Robert Di Paola

doi:10.1117/12.961714

18 October 1989 Image Sequence Processing Using Factor Analysis And Compartmental Modelling

Frederique Frouin, Jean-Pierre Bazin, Robert Di Paola

Proceedings Volume 1137, Science and Engineering of Medical Imaging; (1989) https://doi.org/10.1117/12.961714
Event: 1989 International Congress on Optical Science and Engineering, 1989, Paris, France

Abstract

Factor Analysis of Dynamic Structures (FADS) has been developed since ten years in the medical imaging field to process dynamic image sequences. Its aim is to estimate the different underlying physiological mechanisms. This paper summarises the conventional FADS algorithm and discusses its limitations. A priori information has been used by several authors in order to improve the estimations. After a critical review of these approaches, we propose an original way of introducing constraints, which is based on the a priori knowledge of the physiological data. It is applied to the study of 99mTc HMDP early kinetics in osseous tissues.

Citation Download Citation

Frederique Frouin, Jean-Pierre Bazin, and Robert Di Paola "Image Sequence Processing Using Factor Analysis And Compartmental Modelling", Proc. SPIE 1137, Science and Engineering of Medical Imaging, (18 October 1989); https://doi.org/10.1117/12.961714

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