Title :
PET-MR images registration using support vector machine
Author :
Zhang, Zhao ; Zhang, Su ; Zhang, Chen-Xi ; Li, Yan ; Chen, Ya-Zhu
Author_Institution :
Biomed. Instrum. Inst., Shanghai Jiao Tong Univ., China
Abstract :
Application of registration methods to PET and MR images is very important in diagnosis and treatment. We describe PET-MR registration method that incorporates prior joint intensity distribution between the two imaging modalities based on registered training images. The prior joint intensity distribution is modeled by support vector machine. Results demonstrate that this method is a fast registration method with sub-voxel registration accuracy.
Keywords :
biomedical MRI; estimation theory; image registration; medical image processing; positron emission tomography; support vector machines; PET-MR images registration; joint intensity distribution; subvoxel registration accuracy; support vector machine; Biomedical imaging; Equations; Image registration; Image segmentation; Instruments; Machine learning; Medical diagnostic imaging; Medical treatment; Positron emission tomography; Support vector machines; Density Estimation; Joint Intensity Distribution; Registration; Support Vector Machine;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527587
