Title :
Temporal image fusion
Author :
Hode, Y. ; Deruyver, A. ; Bendriem, B. ; Volkow, N.
Author_Institution :
FORENAP, Rouffach, France
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;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537518
