Acta Optica Sinica, Volume. 39, Issue 4, 0410002(2019)
Non-Rigid Registration Segmentation Algorithm Based on Optimal Atlas Multi-Model Image
A fully automatic and non-rigid hierarchical registration separation ROI (Region of Interest) method based on optimal Atlas image search and local weighted B spline transform is proposed. The experimental results show that the accuracy of the registration of the proposed algorithm is 95.6%, the normalized mutual information value is 1.8432, the root mean square error is 1.12%, and the correlation coefficient is increased by 18.33%. Compared with other registration methods, the registration accuracy and precision of this registered method have obviously improved, which is of great significance for clinical assistant diagnosis.
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Yuexiang Shi, Cai Chen. Non-Rigid Registration Segmentation Algorithm Based on Optimal Atlas Multi-Model Image[J]. Acta Optica Sinica, 2019, 39(4): 0410002
Category: Image Processing
Received: Oct. 31, 2018
Accepted: Dec. 12, 2018
Published Online: May. 10, 2019
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