A parametric intensity-based 3D image registration method for magnetic resonance imaging. Issue 3 (March 2017)

• Record Type: Journal Article
• Authors: Song, Huajun; Qiu, Peihua
• Is Part Of: Signal, image and video processing. Volume 11:Issue 3(2017)
• Page Start: 455
• Page End: 462
• Publication Date: 2017-03
• Subjects: Function approximation -- Geometric transformation -- Image mapping -- Iterative algorithm -- Kernel estimation -- Performance evaluation; Signal processing -- Digital techniques -- Periodicals; Image processing -- Digital techniques -- Periodicals; Digital video -- Periodicals; 621.3822
• DOI: 10.1007/s11760-016-0981-7
• Languages: English
• ISSNs: 1863-1703

Abstract

Abstract Image registration (IR) aims to map one image to another of a same scene. With rapid progress in image acquisition technologies, 3D IR becomes an important problem in magnetic resonance imaging (MRI) and other applications. In the literature, however, most IR methods are for 2D images and there are only a limited number of 3D methods available. Because 3D images have much complicated structure than their 2D counterparts, 3D IR is not just a simple generalization of the 2D IR problem. In this paper, we develop a 3D IR method that can handle cases with affine geometric transformations well. By its definition, an affine transformation maps a line to a line, and it includes rotation, translation, and scaling as special cases. In practice, most geometric transformations involved in IR problems are affine transformations. Therefore, our proposed method can find many IR applications. It is shown that this method works well in various cases, including cases when the data size of a 3D image is reduced for different reasons. This latter property makes it attractive for many 3D IR applications, since 3D images are often big in data size and it is natural to reduce their size for fast computation.