3D-2D Deformable Image Registration Using Feature-Based Nonuniform Meshes
Joint Authors
Zhong, Zichun
Guo, Xiaohu
Cai, Yiqi
Yang, Yin
Wang, Jing
Jia, Xun
Mao, Weihua
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-25
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
By using prior information of planning CT images and feature-based nonuniform meshes, this paper demonstrates that volumetric images can be efficiently registered with a very small portion of 2D projection images of a Cone-Beam Computed Tomography (CBCT) scan.
After a density field is computed based on the extracted feature edges from planning CT images, nonuniform tetrahedral meshes will be automatically generated to better characterize the image features according to the density field; that is, finer meshes are generated for features.
The displacement vector fields (DVFs) are specified at the mesh vertices to drive the deformation of original CT images.
Digitally reconstructed radiographs (DRRs) of the deformed anatomy are generated and compared with corresponding 2D projections.
DVFs are optimized to minimize the objective function including differences between DRRs and projections and the regularity.
To further accelerate the above 3D-2D registration, a procedure to obtain good initial deformations by deforming the volume surface to match 2D body boundary on projections has been developed.
This complete method is evaluated quantitatively by using several digital phantoms and data from head and neck cancer patients.
The feature-based nonuniform meshing method leads to better results than either uniform orthogonal grid or uniform tetrahedral meshes.
American Psychological Association (APA)
Zhong, Zichun& Guo, Xiaohu& Cai, Yiqi& Yang, Yin& Wang, Jing& Jia, Xun…[et al.]. 2016. 3D-2D Deformable Image Registration Using Feature-Based Nonuniform Meshes. BioMed Research International،Vol. 2016, no. 2016, pp.1-19.
https://search.emarefa.net/detail/BIM-1097788
Modern Language Association (MLA)
Zhong, Zichun…[et al.]. 3D-2D Deformable Image Registration Using Feature-Based Nonuniform Meshes. BioMed Research International No. 2016 (2016), pp.1-19.
https://search.emarefa.net/detail/BIM-1097788
American Medical Association (AMA)
Zhong, Zichun& Guo, Xiaohu& Cai, Yiqi& Yang, Yin& Wang, Jing& Jia, Xun…[et al.]. 3D-2D Deformable Image Registration Using Feature-Based Nonuniform Meshes. BioMed Research International. 2016. Vol. 2016, no. 2016, pp.1-19.
https://search.emarefa.net/detail/BIM-1097788
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1097788