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dc.contributor.authorLin, Shih-Yenen_US
dc.contributor.authorChen, Yong-Shengen_US
dc.contributor.authorChen, Li-Fenen_US
dc.date.accessioned2015-07-21T08:30:50Z-
dc.date.available2015-07-21T08:30:50Z-
dc.date.issued2015-01-01en_US
dc.identifier.isbn978-3-319-12261-8en_US
dc.identifier.issn1680-0737en_US
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-319-12262-5_36en_US
dc.identifier.urihttp://hdl.handle.net/11536/124978-
dc.description.abstractThis paper proposes a non-rigid, symmetric and diffeomorphic algorithm for the registration of MR images. A log-Euclidean framework was used to model diffeomorphisms. Multiple features were used to enhance the speed of the proposed algorithm, including compactly supported Wendland\'s basis functions as models of velocity fields, a greedy optimization strategy, and a coarse-to-fine hierarchical framework. Symmetry was ensured through the invertibility of diffeomorphisms and the symmetry of the objective function and optimization algorithm. The proposed algorithm was evaluated using the results of 1560 pairwise registrations of 40 T1-weighted MRIs in the LPBA40 dataset. Our results demonstrated that the proposed algorithm is diffeomorphic with sub-voxel accuracy in terms of symmetry. The proposed algorithm outperforms 14 other registration algorithms in terms of speed (compared with diffeomorphic algorithms) and accuracy.en_US
dc.language.isoen_USen_US
dc.subjectMagnetic Resonance Imagesen_US
dc.subjectdiffeomorphismsen_US
dc.subjectnon-rigid registrationen_US
dc.titleA Fast and Accurate Algorithm for Diffeomorphic and Symmetric Non-rigid Registration of Brain Magnetic Resonance Imagesen_US
dc.typeProceedings Paperen_US
dc.identifier.doi10.1007/978-3-319-12262-5_36en_US
dc.identifier.journal1ST GLOBAL CONFERENCE ON BIOMEDICAL ENGINEERING & 9TH ASIAN-PACIFIC CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERINGen_US
dc.citation.volume47en_US
dc.citation.spage128en_US
dc.citation.epage131en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000349915800036en_US
dc.citation.woscount0en_US
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