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dc.contributor.authorXuan, Jianhua
dc.contributor.authorWang, Yue
dc.contributor.authorFreedman, Matthew T.
dc.contributor.authorAdali, Tulay
dc.contributor.authorShields, Peter
dc.identifier.citationJianhua Xuan, Yue Wang, Matthew T. Freedman, Tulay Adali, and Peter Shields, “Nonrigid Medical Image Registration by Finite-Element Deformable Sheet-Curve Models,” International Journal of Biomedical Imaging, vol. 2006, Article ID 73430, 9 pages, 2006. doi:10.1155/IJBI/2006/73430
dc.description.abstractImage-based change quantitation has been recognized as a promisingtool for accurate assessment of tumor's early response tochemoprevention in cancer research. For example, various changeson breast density and vascularity in glandular tissue are theindicators of early response to treatment. Accurate extraction ofglandular tissue from pre- and postcontrast magnetic resonance(MR) images requires a nonrigid registration of sequential MRimages embedded with local deformations. This paper reports anewly developed registration method that aligns MR breast imagesusing finite-element deformable sheet-curve models. Specifically,deformable curves are constructed to match the boundariesdynamically, while a deformable sheet of thin-plate splines isdesigned to model complex local deformations. The experimentalresults on both digital phantoms and real MR breast images usingthe new method have been compared to point-based thin-plate-spline(TPS) approach, and have demonstrated a significant and robustimprovement in both boundary alignment and local deformationrecovery.
dc.rightsCreative Commons Attribution 4.0 International
dc.titleNonrigid Medical Image Registration by Finite-Element Deformable Sheet-Curve Modelsen_US
dc.typeArticle - Refereed
dc.description.versionPeer Reviewed
dc.rights.holderCopyright © 2006 Jianhua Xuan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Creative Commons Attribution 4.0 International
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