Abstract
Medical image registration is an important task in medical image processing. It refers to the process of aligning data sets, possibly from different modalities, different time points, and/or different subjects. A large number of methods for image registration are described in the literature. Unfortunately, there is no one method that works very well for all applications. Particle swarm optimization is a stochastic, population-based evolutionary computer algorithm. In this paper, we propose a new approach using improved Particle swarm optimization for medical image registration. The algorithm has been successfully used for medical image registration. The feasibility of the proposed method is demonstrated and compared with Standard PSO based image registration technique. The obtained results indicate that the proposed method yields better results in term of both algorithm stability and accuracy. Computational time is also relatively small in the proposed case compared to the other case.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.