Automated analysis of dynamic medical image series with a priori physiological knowledge

Author

Frouin, Frédéque

Author_Institution

Inst. Gustave-Roussy, INSERM, Villejuif, France

fYear

1989

fDate

9-12 Nov 1989

Firstpage

1739

Abstract

The accurate quantitative analysis of dynamic image series for clinical evaluation of functional studies is investigated. The method, factor analysis of dynamic structures (FADS), simultaneously estimates in vivo spatial and temporal evolution of a tracer or a contrast agent from dynamic image series. FADS´ main limitation occurs when the spatial structures are largely superimposed. A priori physiological information is introduced by means of a compartmental model to overcome this drawback. The theory is applied to early kinetics of ^99mTc HMDP in osseous tissues

Keywords

computerised picture processing; patient diagnosis; physiology; radioisotope scanning and imaging; ^99mTc HMDP; a priori physiological knowledge; automated image analysis; compartmental model; dynamic medical image series; factor analysis of dynamic structures; osseous tissues; Algorithm design and analysis; Biological tissues; Biomedical imaging; Image analysis; In vivo; Kinetic theory; Principal component analysis; Signal processing; Signal processing algorithms; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in

Conference_Location

Seattle, WA

Type

conf

DOI

10.1109/IEMBS.1989.96432

Filename

96432