A non-rigid registration method for cerebral DSA images based on forward and inverse stretching – avoiding bilinear interpolation
Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 2nd International Conference on Biomedical Engineering and Biotechnology, 11–13 October 2013, Wuhan, China
Affiliations: National Demonstrative School of Software, Dalian University of Technology, Dalian 116620, Liaoning, China | Modern Technology and Educational Department, Dalian Medical University, Dalian 116044, Liaoning, China | No.403 Clinical Department of PLA, Dalian 116021, Liaoning, China
Abstract: In order to reduce the motion artifact caused by the patient in cerebral DSA images, a non-rigid registration method based on stretching transformation is presented in this paper. Unlike other traditional methods, it does not need bilinear interpolation which is rather time-consuming and even produce ‘originally non-existent gray value’. By this method, the mask image is rasterized to generate appropriate control points. The Energy of Histogram of Differences criterion is adopted as similarity measurement, and the Powell algorithm is utilized for acceleration. A forward stretching transformation is used to complete motion estimation and an inverse stretching transformation to generate target image by pixel mapping strategy. This method is effective to maintain the topological relationships of the gray value before and after the image deformation. The mask image remains clear and accurate contours, and the quality of the subtraction image after the registration is favorable. This method can provide support for clinical treatment and diagnosis of cerebral disease.
Keywords: Digital subtraction angiography, non-rigid registration, stretching transformation, pixel mapping
