A Non-Feature Fast 3D Rigid-Body Image Registration Method

doi:10.3969/j.issn.0372-2112.2018.10.011

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ACTA ELECTRONICA SINICA ›› 2018, Vol. 46 ›› Issue (10) : 2384-2390. DOI: 10.3969/j.issn.0372-2112.2018.10.011

A Non-Feature Fast 3D Rigid-Body Image Registration Method

ZHOU Guang-bing, SONG Hua-jun, WU Yu-xing, REN Peng

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Abstract

3D image registration (IR) aims to map one image to another image of a same scene, widely used in medical diagnosis and other applications. The existing methods mostly use feature to registration and have specific constraint condition which have many problems such as time-consuming, strong random in feature extraction and not flexible under constraint condition. For those problems, an intensity-based method for non-feature 3D rigid IR is proposed in this paper. The method uses Taylor expansion and the least squares (LS) to directly get the transformation parameters and has advantage of high processing speed with less processed data. It is shown by numerous experiments that the proposed IR method has high accuracy and only uses very small proportion data to process.

Key words

3D image registration / image transformation / Taylor expansion

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ZHOU Guang-bing, SONG Hua-jun, WU Yu-xing, REN Peng. A Non-Feature Fast 3D Rigid-Body Image Registration Method[J]. Acta Electronica Sinica, 2018, 46(10): 2384-2390. https://doi.org/10.3969/j.issn.0372-2112.2018.10.011

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Funding

National Natural Science Foundation of China (No.61305012); National Natural Science Foundation of China (No.61671481); Fundamental Research Funds for the Central Universities (No.18CX02109A)