An Iterative Refinement DSA Image Registration Algorithm Using Structural Image Quality Measure
9 Citations•2009•
Jiang Wang, Jian Qiu Zhang
2009 Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
The experimental results show that proposed algorithm yields good global and local registration, and SSIM index outperforms MI as a similarity measure in the DSA image registration.
Abstract
This paper proposes a iterative robust algorithm for the registration of digital angiography images. The registration is iteratively refined with the extracted vessel information and the SSIM index is employed as similarity measure. The experimental results show that proposed algorithm yields good global and local registration, and SSIM index outperforms MI as a similarity measure in the DSA image registration.