Nonrigid Medical Image Registration by Finite-Element Deformable Sheet-Curve Models
Image-based change quantitation has been recognized as a promising tool for accurate assessment of tumor's early response to chemoprevention in cancer research. For example, various changes on breast density and vascularity in glandular tissue are the indicators of early response to treatment....
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2006-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/IJBI/2006/73430 |
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| _version_ | 1832558556439642112 |
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| author | Jianhua Xuan Yue Wang Matthew T. Freedman Tulay Adali Peter Shields |
| author_facet | Jianhua Xuan Yue Wang Matthew T. Freedman Tulay Adali Peter Shields |
| author_sort | Jianhua Xuan |
| collection | DOAJ |
| description | Image-based change quantitation has been recognized as a promising
tool for accurate assessment of tumor's early response to
chemoprevention in cancer research. For example, various changes
on breast density and vascularity in glandular tissue are the
indicators of early response to treatment. Accurate extraction of
glandular tissue from pre- and postcontrast magnetic resonance
(MR) images requires a nonrigid registration of sequential MR
images embedded with local deformations. This paper reports a
newly developed registration method that aligns MR breast images
using finite-element deformable sheet-curve models. Specifically,
deformable curves are constructed to match the boundaries
dynamically, while a deformable sheet of thin-plate splines is
designed to model complex local deformations. The experimental
results on both digital phantoms and real MR breast images using
the new method have been compared to point-based thin-plate-spline
(TPS) approach, and have demonstrated a significant and robust
improvement in both boundary alignment and local deformation
recovery. |
| format | Article |
| id | doaj-art-dd6866b5b985409abd5a2259397bc358 |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2006-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-dd6866b5b985409abd5a2259397bc3582025-02-03T01:32:09ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962006-01-01200610.1155/IJBI/2006/7343073430Nonrigid Medical Image Registration by Finite-Element Deformable Sheet-Curve ModelsJianhua Xuan0Yue Wang1Matthew T. Freedman2Tulay Adali3Peter Shields4Department of Electrical Engineering and Computer Science, The Catholic University of America, Washington, DC 20064, USADepartment of Electrical and Computer Engineering, Virginia Polytechnic Institute and State University, Arlington, VA 22203, USADepartment of Oncology and the Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USADepartment of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD 21250, USADepartment of Oncology and the Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC 20057, USAImage-based change quantitation has been recognized as a promising tool for accurate assessment of tumor's early response to chemoprevention in cancer research. For example, various changes on breast density and vascularity in glandular tissue are the indicators of early response to treatment. Accurate extraction of glandular tissue from pre- and postcontrast magnetic resonance (MR) images requires a nonrigid registration of sequential MR images embedded with local deformations. This paper reports a newly developed registration method that aligns MR breast images using finite-element deformable sheet-curve models. Specifically, deformable curves are constructed to match the boundaries dynamically, while a deformable sheet of thin-plate splines is designed to model complex local deformations. The experimental results on both digital phantoms and real MR breast images using the new method have been compared to point-based thin-plate-spline (TPS) approach, and have demonstrated a significant and robust improvement in both boundary alignment and local deformation recovery.http://dx.doi.org/10.1155/IJBI/2006/73430 |
| spellingShingle | Jianhua Xuan Yue Wang Matthew T. Freedman Tulay Adali Peter Shields Nonrigid Medical Image Registration by Finite-Element Deformable Sheet-Curve Models International Journal of Biomedical Imaging |
| title | Nonrigid Medical Image Registration by Finite-Element Deformable Sheet-Curve Models |
| title_full | Nonrigid Medical Image Registration by Finite-Element Deformable Sheet-Curve Models |
| title_fullStr | Nonrigid Medical Image Registration by Finite-Element Deformable Sheet-Curve Models |
| title_full_unstemmed | Nonrigid Medical Image Registration by Finite-Element Deformable Sheet-Curve Models |
| title_short | Nonrigid Medical Image Registration by Finite-Element Deformable Sheet-Curve Models |
| title_sort | nonrigid medical image registration by finite element deformable sheet curve models |
| url | http://dx.doi.org/10.1155/IJBI/2006/73430 |
| work_keys_str_mv | AT jianhuaxuan nonrigidmedicalimageregistrationbyfiniteelementdeformablesheetcurvemodels AT yuewang nonrigidmedicalimageregistrationbyfiniteelementdeformablesheetcurvemodels AT matthewtfreedman nonrigidmedicalimageregistrationbyfiniteelementdeformablesheetcurvemodels AT tulayadali nonrigidmedicalimageregistrationbyfiniteelementdeformablesheetcurvemodels AT petershields nonrigidmedicalimageregistrationbyfiniteelementdeformablesheetcurvemodels |