Medical Image Registration by Simulated Annealing and genetic algorithms
Year: 2007
Type: conference-paper
Abstract: Registration techniques in medical image processing are used to match anatomic structures from two or more images (CT, MRI, PET....) taken at different times to track for example the evolution of a disease. The core of the registration process is the maximization of a cost function expressing the similarity between these images. To resolve this problem, we have tested two global optimization techniques that are genetic algorithms and simulated annealing. In this paper we show some results obtained in medical images registration.
Source: Geometric Modeling and Imaging
DOI: 10.1109/gmai.2007.25
Authors: Samy Ait-Aoudia, Ramdane Mahiou
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2116958372