![](/images/graphics-bg.png)
Nonrigid 3D Medical Image Registration and Fusion Based on Deformable Models
Joint Authors
Wybranski, Christian
Ricke, Jens
Liu, Peng
Lüdemann, Lutz
Eberhardt, Benjamin
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-18
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
For coregistration of medical images, rigid methods often fail to provide enough freedom, while reliable elastic methods are available clinically for special applications only.
The number of degrees of freedom of elastic models must be reduced for use in the clinical setting to archive a reliable result.
We propose a novel geometry-based method of nonrigid 3D medical image registration and fusion.
The proposed method uses a 3D surface-based deformable model as guidance.
In our twofold approach, the deformable mesh from one of the images is first applied to the boundary of the object to be registered.
Thereafter, the non-rigid volume deformation vector field needed for registration and fusion inside of the region of interest (ROI) described by the active surface is inferred from the displacement of the surface mesh points.
The method was validated using clinical images of a quasirigid organ (kidney) and of an elastic organ (liver).
The reduction in standard deviation of the image intensity difference between reference image and model was used as a measure of performance.
Landmarks placed at vessel bifurcations in the liver were used as a gold standard for evaluating registration results for the elastic liver.
Our registration method was compared with affine registration using mutual information applied to the quasi-rigid kidney.
The new method achieved 15.11% better quality with a high confidence level of 99% for rigid registration.
However, when applied to the quasi-elastic liver, the method has an averaged landmark dislocation of 4.32 mm.
In contrast, affine registration of extracted livers yields a significantly (P=0.000001) smaller dislocation of 3.26 mm.
In conclusion, our validation shows that the novel approach is applicable in cases where internal deformation is not crucial, but it has limitations in cases where internal displacement must also be taken into account.
American Psychological Association (APA)
Liu, Peng& Eberhardt, Benjamin& Wybranski, Christian& Ricke, Jens& Lüdemann, Lutz. 2013. Nonrigid 3D Medical Image Registration and Fusion Based on Deformable Models. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-506638
Modern Language Association (MLA)
Liu, Peng…[et al.]. Nonrigid 3D Medical Image Registration and Fusion Based on Deformable Models. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-506638
American Medical Association (AMA)
Liu, Peng& Eberhardt, Benjamin& Wybranski, Christian& Ricke, Jens& Lüdemann, Lutz. Nonrigid 3D Medical Image Registration and Fusion Based on Deformable Models. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-506638
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506638