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| Multiscale Registration Based on Edge-Preserved Scale Space for Medical Images |
| LI Deng-Wang1, WANG Hong-Jun1, YIN Yong1,2 |
1.School of Information Science and Engineering, Shandong University, Jinan 250100
2.Shandong Tumor Hospital and Institute, Jinan 250117 |
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Abstract The limitation of the conventional multiresolution registration framework is analyzed from the perspective of scale space filtering. Edge-preserved scale space is proposed for multi-scale registration to improve the accuracy and speed and avoid local extreme. The proposed framework has a good edge preserved property which provides more spatial information for mutual information based registration. To achieve automatic registration, a method is proposed to obtain the smoothing parameter λ for non-linear diffusion model. The experimental results show that the proposed framework is superior to other traditional frameworks and suitable for 3-D medical image registration. The registration results have higher accuracy with less numbers of iteration. Furthermore, when traditional frameworks fail to register the images, the proposed framework still has accurate registration results, thus the proposed framework has better robustness.
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Received: 25 November 2009
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2011, Vol. 24 
