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2008
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Multimodal Medical Image Registration Using Particle Swarm Optimization

9 years 20 days ago
Multimodal Medical Image Registration Using Particle Swarm Optimization
In image guided surgery, the registration of preand intra-operative image data is an important issue. In registrations, we seek an estimate of the transformation that registers the reference image and test image by optimizing their metric function (similarity measure). To date, local optimization techniques, such as the gradient decent method, are frequently used for medical image registrations. But these methods need good initial values for estimation in order to avoid the local minimum. In this paper, we propose a new approach using particle swarm optimization (PSO) for medical image registrations. Particle swarm optimization is a stochastic, population-based evolutionary computer algorithm. The effectiveness of PSO has been demonstrated for both rigid and non-rigid medical image registration.
Yen-Wei Chen, Chen-Lun Lin, Aya Mimori
Added 31 May 2010
Updated 31 May 2010
Type Conference
Year 2008
Where ISDA
Authors Yen-Wei Chen, Chen-Lun Lin, Aya Mimori
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