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6 July 2015 Research on non rigid registration algorithm of DCE-MRI based on mutual information and optical flow
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Proceedings Volume 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015); 96310N (2015) https://doi.org/10.1117/12.2197181
Event: Seventh International Conference on Digital Image Processing (ICDIP15), 2015, Los Angeles, United States
Abstract
Image matching plays a very important role in the field of medical image, while the two image registration methods based on the mutual information and the optical flow are very effective. The experimental results show that the two methods have their prominent advantages. The method based on mutual information is good for the overall displacement, while the method based on optical flow is very sensitive to small deformation. In the breast DCE-MRI images studied in this paper, there is not only overall deformation caused by the patient, but also non rigid small deformation caused by respiratory deformation. In view of the above situation, the single-image registration algorithms cannot meet the actual needs of complex situations. After a comprehensive analysis to the advantages and disadvantages of these two methods, this paper proposes a registration algorithm of combining mutual information with optical flow field, and applies subtraction images of the reference image and the floating image as the main criterion to evaluate the registration effect, at the same time, applies the mutual information between image sequence values as auxiliary criterion. With the test of the example, this algorithm has obtained a better accuracy and reliability in breast DCE-MRI image sequences.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shihua Yu, Rui Wang, Kaiyu Wang, Mengmeng Xi, Jiashuo Zheng, and Hui Liu "Research on non rigid registration algorithm of DCE-MRI based on mutual information and optical flow", Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96310N (6 July 2015); https://doi.org/10.1117/12.2197181
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