Abstract
Three-dimensional (3D) multimodal magnetic resonance (MR) image registration aims to align similar things in different MR images spatially. Such a technology is useful in auxiliary disease diagnosis and surgical treatment. However, inconsistent intensity correspondence and large initial displacement contribute to the difficulty in registering multimodal MR volumes. A coarse-to-fine method is proposed in this study for pairwise 3D MR image rigid registration. Firstly, the proposed method extracts image feature points to form unregistered point sets and performs coarse registration based on point set registration to reduce the initial displacements of offset images effectively. Then, this method calculates a grey histogram based on voxels in the adaptive region of interest and further improves registration accuracy by maximizing mutual information of coarse-registered images. Some representative registration methods are compared on the basis of three MR image datasets to evaluate the performance of the proposed method. Experimental results show that the proposed method improved more in registration success rate and accuracy compared with conventional registration methods, especially when initial displacements are large.
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Acknowledgements
The authors would like to thank BraTs, the project team of RIRE and Henan Provincial People’s Hospital for providing the datasets.
Funding
This work was supported by “New generation information technology” innovation project and Universities key scientific research project of Education Department of Henan Province (2018A03003, 21A520042), Science and technology research project of Henan province (172102210003), the Startup Research Fund of Zhengzhou University (Grant F0001297).
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Li, C., Zhou, Y., Li, Y. et al. A coarse-to-fine registration method for three-dimensional MR images. Med Biol Eng Comput 59, 457–469 (2021). https://doi.org/10.1007/s11517-021-02317-x
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DOI: https://doi.org/10.1007/s11517-021-02317-x