Publication: High Performance Medical Image Registration Using New Optimization Techniques

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Title	High Performance Medical Image Registration Using New Optimization Techniques
Authors/Editors*	M. P. Wachowiak, T. M. Peters
Where published*	IEEE Transactions on Information Technology in Biomedicine
How published*	Journal
Year*	2006
Volume	10
Number	2
Pages	344-353
Publisher
Keywords	DIviding RECTangles (DIRECT), medical image registration, multidirectional search (MDS), optimization, parallel computing
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Abstract	Optimization of a similarity metric is an essential component in intensity-based medical image registration. The increasing availability of parallel computers makes parallelizing some registration tasks an attractive option to increase speed. In this paper, two new deterministic, derivative-free, and intrinsically parallel optimization methods are adapted for image registration. DIviding RECTangles (DIRECT) is a global technique for linearly bounded problems, and multidirectional search (MDS) is a recent local method. The performance of DIRECT, MDS, and hybrid methods using a parallel implementation of Powellâs method for local refinement, are compared. Experimental results demonstrate that DIRECT and MDS are robust, accurate, and substantially reduce computation time in parallel implementations.