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Content Provider | IEEE Xplore Digital Library |
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Author | Chowdhury, A.S. Roy, R. Bose, S.K. Khalifa, F. Elnakib, A. El-Baz, A. |
Copyright Year | 2012 |
Description | Author affiliation: BioImaging Laboratory, Bioengineering Department University of Louisville, Louisville, KY - 40292, USA (Khalifa, F.; Elnakib, A.; El-Baz, A.) || Department of Electronics and Telecommunication Engineering Jadavpur University, Kolkata - 700032, India (Chowdhury, A.S.; Roy, R.; Bose, S.K.) |
Abstract | Problem of non-rigid registration has become very important in the area of biomedical imaging. A non-rigid registration problem is modeled as an optimization problem and is solved using graph cuts and MRFs in recent years. In this paper, we have improved the graph cuts-based solution to non-rigid registration with a novel data term. The proposed data term has several advantages. Firstly, displacement labels can be directly assigned from this data term. Secondly, our data term imposes stricter penalty for intensity mismatches and hence yields higher registration accuracy. Finally, this data term can efficiently handle the dissimilarities in the intensity patterns between the floating and the reference images which may also arise due to some changes in illumination in addition to motion. We show the effectiveness of the proposed method on MRI images of brain and light microscopy images of retina. Experimental results indicate the superiority of our technique over some well-known non-rigid registration algorithms. |
Starting Page | 446 |
Ending Page | 449 |
File Size | 568074 |
Page Count | 4 |
File Format | |
ISBN | 9781457718571 |
ISSN | 19457928 |
e-ISBN | 9781457718588 |
DOI | 10.1109/ISBI.2012.6235580 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2012-05-02 |
Publisher Place | Spain |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Retina Accuracy Lighting Magnetic resonance imaging Image registration Biomedical imaging Brain retinal images Non-rigid registration graph cuts data term brain MRI |
Content Type | Text |
Resource Type | Article |
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