Title
Feature-aligned 4D spatiotemporal image registration
Document Type
Conference Proceeding
Publication Date
12-1-2012
Abstract
In this paper, we develop a feature-aware 4D spatiotemporal image registration method. Our model is based on a 4D (3D+time) free-form B-spline deformation model which has both spatial and temporal smoothness. We first introduce an automatic 3D feature extraction and matching method based on an improved 3D SIFT descriptor, which is scale- and rotation- invariant. Then we use the results of feature correspondence to guide an intensity-based deformable image registration. Experimental results show that our method can lead to smooth temporal registration with good matching accuracy; therefore this registration model is potentially suitable for dynamic tumor tracking. © 2012 ICPR Org Committee.
Publication Source (Journal or Book title)
Proceedings - International Conference on Pattern Recognition
First Page
2639
Last Page
2642
Recommended Citation
Xu, H., Chen, P., Yu, W., Sawant, A., Iyengar, S., & Li, X. (2012). Feature-aligned 4D spatiotemporal image registration. Proceedings - International Conference on Pattern Recognition, 2639-2642. Retrieved from https://repository.lsu.edu/eecs_pubs/770