Medical Image Registration Based on Renyi’s Quadratic Mutual Information

Abstract

In this paper, a medical image registration based on Renyi’s quadratic mutual information is proposed. Firstly, the initial values (i.e. the translation and rotation parameters) for aligning the floating image with the reference image are obtained by computing the medical image centroids and moments. Then, when exploring the optimal geometric transformation parameters, the Renyi’s quadratic mutual information is taken as the similarity criterion between the reference and floating images. Finally, the Simplex method, as multi-parameter optimization one, is used to search the optimal registering values in the experiments. The experimental results reveal that, the proposed method has a lower computational load, faster registration and better registration accuracy compared with the registration method based on the Shannon mutual information. It can cater to both mono-modality and multi-modality image registrations.

KEYWORDS:

• Entropy
• Image registration
• Medical image
• Renyi’s quadratic mutual information

Additional information

Funding

This work is supported by Hunan Provincial Natural Science Foundation of China [grant number 2019JJ60016], supported by Hunan University of Arts and Science, Hunan Province Cooperative Innovation Center for The Construction & Development of Dongting Lake Ecological Economic Zone, and supported by the provincial specialty disciplines of higher education institutions in Hunan Province [grant number XJT[2018]469].

Notes on contributors

Meisen Pan

Meisen Pan was born in 1972 and graduated from Hunan Normal University, China, in 1995. He received the MS degree from Huazhong University of Science and Technology, China, in 2005. He obtained the PhD degree from Central South University, China, in 2011. He has published over 30 papers on journals and conferences. His research interests include biomedical image processing, information fusion and software engineering.

Fen Zhang

Fen Zhang was born in 1972 and graduated from Hunan University, China, in 1996. He received the MS degree from Hunan University, China, in 2005. He has published over 10 papers in journals and conferences. His research interests include image processing and computer graphics.