DocumentCode :
3016238
Title :
A cluster-assisted global optimization method for high resolution medical image registration
Author :
Zhao, Rongkai ; Belford, Geneva G. ; Gabriel, Michael
Author_Institution :
Dept. of Comput. Sci., Illinois Univ., Urbana, IL, USA
fYear :
2004
fDate :
28-30 March 2004
Firstpage :
66
Lastpage :
70
Abstract :
Optimization is a key component of image registration. Due to the non-convexity and high computation cost of the objective function, a common tactic is to set an initial guess and then use multi-resolution or local optimization methods to find a local optimum of the objective function. For almost all local optimization methods, the initial location in the search space plays a critical role in the accuracy of the registration. Initial guesses are often obtained through data-specific methods. The paper offers a new hybrid optimization method assisted by a density-based clustering algorithm. The new method is less data-specific and more suitable for semi-automatic or automatic image registration. Global optimization does not guarantee timely convergence. A genetic algorithm is a component of our hybrid method; however, our method usually converges within a reasonable time. This new method has been applied to registering high resolution brain images.
Keywords :
brain; convergence of numerical methods; genetic algorithms; image registration; image resolution; medical image processing; search problems; brain images; data-specific methods; density-based clustering algorithm; genetic algorithm; high resolution medical image registration; objective function; optimization; Biomedical imaging; Clustering algorithms; Computational efficiency; Convergence; Cost function; Genetic algorithms; Image converters; Image registration; Image resolution; Optimization methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Interpretation, 2004. 6th IEEE Southwest Symposium on
Print_ISBN :
0-7803-8387-7
Type :
conf
DOI :
10.1109/IAI.2004.1300946
Filename :
1300946
Link To Document :
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