Abstract
In this paper, we proposed an effective method for time series CT image registration using Mutual Information (MI) and downhill simplex method. By using this method it was possible to obtain correct results in a shorter time. When we include all range of histogram in MI evaluation, the value of MI becomes worse. In order to prevent this problem, we find a suitable range of image histogram in MI calculation by using discriminant analysis. Moreover, in order to speed up the convergence, we propose an effective initial position specification and geometry based finish condition (vector terminate). In the experiment, 3D rigid body alignment is performed successfully by six variables of movement and rotation.
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References
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Acknowledgments
For this research, we received research grants from JSPS Grant-in-Aid for Research 26350541 (Foundation C) “Fundamental research on preoperative and intraoperative support system for tailor made medicine”. Part of this research was conducted using the Iwate Prefectural University Academic Research Fund. This research was partially supported by “Ring! Ring! (KEIRIN & AUTORACE)” project, which is bicycle racing & auto racing assistant research aid: “http://hojo.keirin-autorace.or.jp/”. We also received a research grant from the Ministry of Economy, Trade and Industry Medical Industry Cooperation Project Development Project “Development of Innovative Spinal Braking Implant Using 3D Titanium Printer”.
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Doi, A., Chiba, T. (2018). An Automatic Image Registration Method Using Downhill Simplex Method and Its Applications. In: Barolli, L., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-65521-5_55
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DOI: https://doi.org/10.1007/978-3-319-65521-5_55
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