Difference Squared Hausdorff Distance based medical image registration

Author(s):  
Anna Wang ◽  
Xiyan Sun ◽  
Xiaoxing Zhou ◽  
Wenjuan Hu
2014 ◽  
Vol 643 ◽  
pp. 237-242 ◽  
Author(s):  
Tahari Abdou El Karim ◽  
Bendakmousse Abdeslam ◽  
Ait Aoudia Samy

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


2016 ◽  
Vol 73 ◽  
pp. 56-70 ◽  
Author(s):  
Maryam Afzali ◽  
Aboozar Ghaffari ◽  
Emad Fatemizadeh ◽  
Hamid Soltanian-Zadeh

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