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论文类型：期刊论文

发表时间：2013-06-01

发表刊物：INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

收录刊物：SCIE、EI、Scopus

卷号：23

期号：2

页面范围：171-187

ISSN号：0899-9457

关键字：digital subtraction angiography; cerebrovascular image; non-rigid registration; stretching transformation

摘要：In the cerebrovascular digital subtraction angiography (DSA), patient motion is the primary cause of image quality degradation. In this article, we describe a nonrigid image registration system for motion artifact reduction in DSA which is fully automatic, effective, and computationally very efficient. In this system, the mask image is partitioned to generate the appropriate control points. The energy of histogram of differences method is adopted as similarity measurement, and the Powell algorithm is utilized for acceleration. A forward stretching transformation is used to complete the motion estimation, and an inverse stretching transformation is used to generate the target image by pixel mapping strategy. The method of this system is effective to maintain the topological relationships of the gray value before and after the image deformation. Preliminary experiments on the cerebrovascular DSA images illustrate the applicability of the system. After the deformation, the mask image remains clear and accurate contours, and the quality of the subtraction image after the registration is favorable. (c) 2013 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 23, 171187, 2013