DocumentCode
1991710
Title
Histogram Transformation for Inter-Modality Image Registration
Author
Meyer, Joerg
Author_Institution
Univ. of California at Irvine, Irvine
fYear
2007
fDate
14-17 Oct. 2007
Firstpage
1118
Lastpage
1123
Abstract
This paper describes an efficient image transformation method based on histogram information and some prior knowledge of tissue expression in different modalities for registration of images from different image aquisition methods, such as CT and MRI. The metric defined in this paper represents a computationally efficient alternative to traditional, mutual information based methods. The optimization step in the registration algorithm can be carried out either by using a normalized cross-correlation function or as a simple image subtraction, which makes it suitable for hardware implementations.
Keywords
biological tissues; biomedical MRI; computerised tomography; image registration; medical image processing; optimisation; CT; MRI; histogram transformation; image subtraction; intermodality image registration; mutual information; normalized cross-correlation function; optimization; tissue expression; Biomedical engineering; Bone tissue; Computed tomography; Electromagnetic wave absorption; Histograms; Image registration; Image segmentation; Magnetic resonance imaging; Mutual information; Rendering (computer graphics);
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on
Conference_Location
Boston, MA
Print_ISBN
978-1-4244-1509-0
Type
conf
DOI
10.1109/BIBE.2007.4375700
Filename
4375700
Link To Document