Deformable Image Registration with Inclusion of Autodetected Homologous Tissue Features
A novel deformable registration algorithm is proposed in the application of radiation therapy. The algorithm starts with autodetection of a number of points with distinct tissue features. The feature points are then matched by using the scale invariance features transform (SIFT) method. The associat...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1100/2012/913693 |
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| _version_ | 1832558854112542720 |
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| author | Qingsong Zhu Jia Gu Yaoqin Xie |
| author_facet | Qingsong Zhu Jia Gu Yaoqin Xie |
| author_sort | Qingsong Zhu |
| collection | DOAJ |
| description | A novel deformable registration algorithm is proposed in the application of radiation therapy. The algorithm starts with autodetection of a number of points with distinct tissue features. The feature points are then matched by using the scale invariance features transform (SIFT) method. The associated feature point pairs are served as landmarks for the subsequent thin plate spline (TPS) interpolation. Several registration experiments using both digital phantom and clinical data demonstrate the accuracy and efficiency of the method. For the 3D phantom case, markers with error less than 2 mm are over 85% of total test markers, and it takes only 2-3 minutes for 3D feature points association. The proposed method provides a clinically practical solution and should be valuable for various image-guided radiation therapy (IGRT) applications. |
| format | Article |
| id | doaj-art-44535495d4004e56a47307f783c54f72 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-44535495d4004e56a47307f783c54f722025-02-03T01:31:25ZengWileyThe Scientific World Journal1537-744X2012-01-01201210.1100/2012/913693913693Deformable Image Registration with Inclusion of Autodetected Homologous Tissue FeaturesQingsong Zhu0Jia Gu1Yaoqin Xie2Key Laboratory for Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaKey Laboratory for Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaKey Laboratory for Health Informatics, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaA novel deformable registration algorithm is proposed in the application of radiation therapy. The algorithm starts with autodetection of a number of points with distinct tissue features. The feature points are then matched by using the scale invariance features transform (SIFT) method. The associated feature point pairs are served as landmarks for the subsequent thin plate spline (TPS) interpolation. Several registration experiments using both digital phantom and clinical data demonstrate the accuracy and efficiency of the method. For the 3D phantom case, markers with error less than 2 mm are over 85% of total test markers, and it takes only 2-3 minutes for 3D feature points association. The proposed method provides a clinically practical solution and should be valuable for various image-guided radiation therapy (IGRT) applications.http://dx.doi.org/10.1100/2012/913693 |
| spellingShingle | Qingsong Zhu Jia Gu Yaoqin Xie Deformable Image Registration with Inclusion of Autodetected Homologous Tissue Features The Scientific World Journal |
| title | Deformable Image Registration with Inclusion of Autodetected Homologous Tissue Features |
| title_full | Deformable Image Registration with Inclusion of Autodetected Homologous Tissue Features |
| title_fullStr | Deformable Image Registration with Inclusion of Autodetected Homologous Tissue Features |
| title_full_unstemmed | Deformable Image Registration with Inclusion of Autodetected Homologous Tissue Features |
| title_short | Deformable Image Registration with Inclusion of Autodetected Homologous Tissue Features |
| title_sort | deformable image registration with inclusion of autodetected homologous tissue features |
| url | http://dx.doi.org/10.1100/2012/913693 |
| work_keys_str_mv | AT qingsongzhu deformableimageregistrationwithinclusionofautodetectedhomologoustissuefeatures AT jiagu deformableimageregistrationwithinclusionofautodetectedhomologoustissuefeatures AT yaoqinxie deformableimageregistrationwithinclusionofautodetectedhomologoustissuefeatures |