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Deformable Image Registration with Inclusion of Autodetected Homologous Tissue Features
Joint Authors
Zhu, Qingsong
Gu, Jia
Xie, Yaoqin
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-04-01
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Zhu, Qingsong& Gu, Jia& Xie, Yaoqin. 2012. Deformable Image Registration with Inclusion of Autodetected Homologous Tissue Features. The Scientific World Journal،Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-507607
Modern Language Association (MLA)
Zhu, Qingsong…[et al.]. Deformable Image Registration with Inclusion of Autodetected Homologous Tissue Features. The Scientific World Journal No. 2012 (2012), pp.1-8.
https://search.emarefa.net/detail/BIM-507607
American Medical Association (AMA)
Zhu, Qingsong& Gu, Jia& Xie, Yaoqin. Deformable Image Registration with Inclusion of Autodetected Homologous Tissue Features. The Scientific World Journal. 2012. Vol. 2012, no. 2012, pp.1-8.
https://search.emarefa.net/detail/BIM-507607
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507607