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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yu Wang Mingquan Wang Zhijie Zhang Wenlian Wang |
| Copyright Year | 2011 |
| Description | Author affiliation: Key Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, North University of China Taiyuan, China (Yu Wang; Mingquan Wang; Zhijie Zhang; Wenlian Wang) |
| Abstract | A mutual information registration based on modified simplex optimization method is presented in this paper to improve the speed of medical image registration. For two MRI and PET images, the principal axis method is adopted to achieve the rough registration, and the modified simplex algorithm is employed to implement global search using the mutual information as similarity measure. Results indicate that the proposed registration method prevents the optimizing process from falling into local extremum and improves the convergence speed while keeping the precision. The accurate registration of multimodal image with different resolutions is achieved. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 269964 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424479337 |
| ISSN | 10915281 |
| e-ISBN | 9781424479351 |
| DOI | 10.1109/IMTC.2011.5944182 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-10 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optimization Mutual information Biomedical imaging Image registration Positron emission tomography Reflection Magnetic resonance imaging modified simplex algorithm image registration principle axes method mutual information |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Electrical and Electronic Engineering |
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