원문정보
초록
영어
In this paper, we explore the PET-MRI 3D surface image registration method for the longitudinal study of cancer. Image registration gives new information to the radiologists by matching images with different modalities. The objective of this research is to develop 3D surface registration for PET/CT and MR images acquired by different medical imaging systems at different times. Our proposed method consists of three stages: 1) global surface matching, 2) fine adjustment stage and 3) image transformation. In this study, we perform the global registration with surface points within CT and MRI using ICP algorithm. Then we perform the fine adjusts stage using ECICP algorithm. Finally, PET image was transformed with various parameters and overlaid onto MR image.
목차
1. Introduction
2. Image Registration
2.1. Iterative Closet Point Algorithms
2.2. Elastic convolved ICP Method
3. Discussion
3.1. Preprocessing
3.2. 3D Surface Matching
3.3. Result
4. Conclusion
Acknowledgements
References