A Comparative Study of Bio-inspired Algorithms for Medical Image Registration

2018 ◽  
pp. 27-44 ◽  
Author(s):  
D. R. Sarvamangala ◽  
Raghavendra V. Kulkarni
Keyword(s):  
Image Registration ◽  
Comparative Study ◽  
Medical Image ◽  
Medical Image Registration

Geometry-based vs. intensity-based medical image registration: A comparative study on 3D CT data

2016 ◽  
Vol 69 ◽  
pp. 120-133 ◽  
Author(s):  
Antonis D. Savva ◽  
Theodore L. Economopoulos ◽  
George K. Matsopoulos
Keyword(s):  
Image Registration ◽  
Comparative Study ◽  
Medical Image ◽  
Medical Image Registration ◽  
3D Ct ◽  
Ct Data

Computing the Medical Image Registration Using Meta-Heuristics

2014 ◽  
Vol 643 ◽  
pp. 237-242 ◽  
Author(s):  
Tahari Abdou El Karim ◽  
Bendakmousse Abdeslam ◽  
Ait Aoudia Samy
Keyword(s):  
Image Processing ◽  
Genetic Algorithms ◽  
Simulated Annealing ◽  
Image Registration ◽  
Cost Function ◽  
Population Genetic ◽  
Medical Image ◽  
Medical Image Registration ◽  
Anatomical Structures

The image registration is a very important task in image processing. In the field of medical imaging, it is used to compare the anatomical structures of two or more images taken at different time to track for example the evolution of a disease. Intensity-based techniques are widely used in the multi-modal registration. To have the best registration, a cost function expressing the similarity between these images is maximized. The registration problem is reduced to the optimization of a cost function. We propose to use neighborhood meta-heuristics (tabu search, simulated annealing) and a meta-heuristic population (genetic algorithms). An evaluation step is necessary to estimate the quality of registration obtained. In this paper we present some results of medical image registration

Sign in / Sign up

Export Citation Format

Share Document