Single versus Multi-step Non-Rigid Medical Image Registration of 3D Medical Images | [Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences • 2016]

Author(s):

1. Said K. Shah: Institute of Engineering and Computing Sciences, University of Science and Technology Bannu,Bannu, KP,Pakistan

2. Khalil Ullah: Department of Electrical Engineering,NUCES-FAST, Peshawar Campus, KP,Pakistan

3. Ajab Khan: Department of Computer Science and IT, University of Malakand,Malakand, KP,Pakistan

4. Asfandyar Kkan: Institute of Engineering and Computing Sciences, University of Science and Technology Bannu,Bannu, KP,Pakistan

5. Abdul W. khan: Institute of Engineering and Computing Sciences, University of Science and Technology Bannu,Bannu, KP,Pakistan

6. Iqbal Qasim: Institute of Engineering and Computing Sciences, University of Science and Technology Bannu,Bannu, KP,Pakistan

Abstract:

Multi-model medical image registration is very important in medical image analysis and computer assisted surgery. Accuracy and speed are the two crucial factor of any registration algorithm. A Fast Radial Basis Function algorithm for non-rigid medical image registration with improved accuracy is presented in this article. The accuracy of the technique is improved by converting the one-step registration algorithm to multi-step i.e. three-step registration algorithm. The global transformation accuracy of this technique has been evaluated by using two different anatomical landmarks sets. The former is to calculate the model parameters, and the later is used to assess registration accuracy. Finally, we demonstrate that the multi-step technique yields better accuracy (using NMI) as compared to the one-step approach and target registration errors of about 2.91mm on the registration of CT with its synthetically deformed version obtained from the Vanderbilt database. Our study shows that the multi-step fast RBF based registration is more effective in recovering larger deformation and do kept transformation smoothness than the one-step fast RBF based registration.

Page(s): 99-105

DOI: DOI not available

Published: Journal: Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences, Volume: 53, Issue: 1, Year: 2016

Keywords:

radial basis functions , Medical image registration , deformations , computer assisted

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