期刊
NEUROCOMPUTING
卷 101, 期 -, 页码 181-189出版社
ELSEVIER
DOI: 10.1016/j.neucom.2012.08.012
关键词
Non-rigid registration; MR image; Normalized mapping; Groupwise registration; Manifold learning
资金
- National Basic Research Program of China (973 Program) [2012CB719905]
- National Natural Science Foundation of China [61105012, 61172142, 81071220, 61172143]
- Natural Science Foundation Research Project of Shaanxi Province [2012JM8024]
- 50th China Postdoctoral Science Foundation [2011M501487]
- Special Fund for Basic Scientific Research of Central Colleges, Chang'an University [CHD2011JC124]
A new non-rigid registration method is proposed for the bladder magnetic resonance (MR) images. The key point is normalized mapping, which transforms any image into an intermediate space. Under the uniform space, those anatomical feature points of different images are corresponded by rotating and scaling. In addition, the non-rigid registration is utilized under the application of groupwise registration. By registering a set of images, an unbiased template can be obtained. Based on this template, the analysis towards the group of images can be easily conducted. Experimental results demonstrate that the proposed method can register accurately the target image to the reference image. (C) 2012 Elsevier B.V. All rights reserved.
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