| Paper Details: | Downloads: 801 |
| Serial Number: | P1150847509
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| Title: | A Fast Medical Image Registration using Feature Points
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| Authors: | G. Khaissidi and H. Tairi and A. Aarab
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| Abstract: | In feature-based registration approach, the feature matching step and transform model estimation step are associated and usually conducted in a sequential way. In this paper, we propose a fully non supervised methodology dedicated to the fast registration of medical images. We adopt a method that integrates the both steps into one. First, the points of interest are automatically extracted from both images. Then, an algorithm based on Hough transform gives directly a rigid transformation, which allows information transfer between both modalities. Validation study is conducted under a series of controlled experiments and test on IRM images and a comparison study where the matching of the extracted points is established with a correlation technique combined to a relaxation technique. The LMS method is then used to estimate the registration parameters.
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| Keywords: | registration, medical imagery, interest points, matching, ZNCC, SSD.
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| Journal/Conference: | International Journal of Graphics, Vision and Image Processing
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| Volume: | 9
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| Issue: | 3
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| Submission Date: | 11/21/2008 12:00:00 AM
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| Review Date: | 1/9/2009 12:00:00 AM
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| Publishing Date: | 2/24/2009 12:00:00 AM
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| Article Downloads: | 801
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