Temporal image fusion

Author

Hode, Y. ; Deruyver, A. ; Bendriem, B. ; Volkow, N.

Author_Institution

FORENAP, Rouffach, France

Volume

2

fYear

1995

fDate

23-26 Oct 1995

Firstpage

472

Abstract

Presents a method to make dynamic image analysis by image fusion. This method is unsupervised and does not require previous knowledge of the number of relevant parameters as in statistical methods. It uses set operations to segment recursively a given region if at any following time this region appears not to be homogeneous. This algorithm has been tested with success on two sets of positron emission tomography images (a set of 10 images of a phantom and a set of 22 images of a human brain). It allows an automatic region of interest detection and it displays a kinetic image that could help image interpretation

Keywords

brain; image segmentation; medical image processing; positron emission tomography; PET images; automatic region of interest detection; dynamic image analysis; human brain images; image interpretation; kinetic image; medical diagnostic imaging; nuclear medicine; recursive segmentation; set operations; temporal image fusion; Displays; Humans; Image analysis; Image fusion; Image segmentation; Imaging phantoms; Kinetic theory; Positron emission tomography; Statistical analysis; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1995. Proceedings., International Conference on

Conference_Location

Washington, DC

Print_ISBN

0-8186-7310-9

Type

conf

DOI

10.1109/ICIP.1995.537518

Filename

537518