Title :
Fusion Algorithm of Functional Images and Anatomical Images Based on Wavelet Transform
Author :
Zhang JingZhou ; Zhou Zhao ; Teng Jionghua ; Li Ting ; Miao Zhiping
Author_Institution :
Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China
Abstract :
Fusion problem of medical functional images and anatomical images is studied in this paper. Based on wavelet multi-scale decomposition the fusion algorithm of functional images and anatomical images is advanced and elaborated, and the method of fusion rule selection is summarized in detail. Using the algorithm, a PET image and a MRI image of a brain are merged. With the index integrating entropy and cross entropy, the fusion result is assessed indicating the validity of the algorithm and the method.
Keywords :
biomedical MRI; brain; entropy; image fusion; medical signal processing; positron emission tomography; MRI image; PET image; anatomical images; brain; cross entropy; entropy; fusion algorithm; fusion rule selection; medical functional images; wavelet multiscale decomposition; wavelet transform; Biomedical imaging; Discrete wavelet transforms; Entropy; Filtering; Image fusion; Image resolution; Low pass filters; Magnetic resonance imaging; Positron emission tomography; Wavelet transforms;
Conference_Titel :
Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4132-7
Electronic_ISBN :
978-1-4244-4134-1
DOI :
10.1109/BMEI.2009.5304977
