Nonrigid Medical Image Registration Based on Mesh Deformation Constraints

Joint Authors

Ruan, Su
Lin, XiangBo
Qiu, Tianshuang
Guo, DongMei

Source

Computational and Mathematical Methods in Medicine

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-02-03

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Medicine

Abstract EN

Regularizing the deformation field is an important aspect in nonrigid medical image registration.

By covering the template image with a triangular mesh, this paper proposes a new regularization constraint in terms of connections between mesh vertices.

The connection relationship is preserved by the spring analogy method.

The method is evaluated by registering cerebral magnetic resonance imaging (MRI) image data obtained from different individuals.

Experimental results show that the proposed method has good deformation ability and topology-preserving ability, providing a new way to the nonrigid medical image registration.

American Psychological Association (APA)

Lin, XiangBo& Ruan, Su& Qiu, Tianshuang& Guo, DongMei. 2013. Nonrigid Medical Image Registration Based on Mesh Deformation Constraints. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-466903

Modern Language Association (MLA)

Lin, XiangBo…[et al.]. Nonrigid Medical Image Registration Based on Mesh Deformation Constraints. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-466903

American Medical Association (AMA)

Lin, XiangBo& Ruan, Su& Qiu, Tianshuang& Guo, DongMei. Nonrigid Medical Image Registration Based on Mesh Deformation Constraints. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-466903

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-466903