Abstract
In view of the characteristics of the local nonlinear distortion about medical CT and MRI tumor image registration, the method of Least Square Support Vector Machines (LS-SVM) was used to register the images. The verge point of tumor was marked using vector machine weights in this algorithm, and the eigenvalues of tumor images were obtained. The difference of corresponding feature points between CT and MRI tumor image was eliminated adopting the least square algorithm, which not only can effectively remove geometric deformation of the images, but also can be adaptive correct the errors caused by the positioning of feature points. Finally, we had experimented on the Matlab platform, the results show that the algorithm has higher registration accuracy and can meet medical tumor registration requirements. It also play guidance role in image fusion and tumor targeted therapy, which has important application in clinical medicine.
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© 2008 Springer-Verlag Berlin Heidelberg
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Yang, Z., Liu, L., Liu, W., Yang, W. (2008). Research of CT / MRI Tumor Image Registration Based on Least Square Support Vector Machines. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_133
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DOI: https://doi.org/10.1007/978-3-540-87442-3_133
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87440-9
Online ISBN: 978-3-540-87442-3
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