TY - CONF
T1 - Computing deformable image registration by inverse multiquadric Demons algorithm
AU - Wong, S. M.
AU - Ng, K. S.
AU - Li, T. S.
N1 - Funding Information:
Manuscript received June 15, 2013; revised July 20, 2013. This work was supported by the Research and Development Fund of the Open University of Hong Kong, No. 2010/2.1.
Funding Information:
This work was supported by the Research and Development Fund of the Open University of Hong Kong, No. 2010/2.1. The project is sponsored by the President's Advisory Committee on Research and Development. Project Number: 2010/2.1.
Publisher Copyright:
Copyright © 2008-2019. International Journal of Engineering and Technology. All rights reserved.
PY - 2012
Y1 - 2012
N2 - Radiation therapy is the mainstay of cancer treatment. However, significant weight loss and tumor shrinkage during treatment could affect the medical outcome. Advanced forms of adaptive radiotherapy use deformable image registration (DIR) accounting for such anatomical changes. Accurately defining the exact location and extent of the target with respect to surrounding organs at risk are difficult tasks. DIR model is commonly used as an alternative to measure how the tumor changes in size and location. In this paper, a reciprocal Multiquadric radial basis function approximation method is incorporated with the Demons algorithm for solving the DIR model. The proposed scheme could enhance the accuracy and efficiency of the deformable image registration. The numerical performance is compared with the classical DIR Demons algorithms. The result demonstrated that the combination of the reciprocal Multiquadric approximation and the Demons algorithm is useful in image registration.
AB - Radiation therapy is the mainstay of cancer treatment. However, significant weight loss and tumor shrinkage during treatment could affect the medical outcome. Advanced forms of adaptive radiotherapy use deformable image registration (DIR) accounting for such anatomical changes. Accurately defining the exact location and extent of the target with respect to surrounding organs at risk are difficult tasks. DIR model is commonly used as an alternative to measure how the tumor changes in size and location. In this paper, a reciprocal Multiquadric radial basis function approximation method is incorporated with the Demons algorithm for solving the DIR model. The proposed scheme could enhance the accuracy and efficiency of the deformable image registration. The numerical performance is compared with the classical DIR Demons algorithms. The result demonstrated that the combination of the reciprocal Multiquadric approximation and the Demons algorithm is useful in image registration.
UR - http://www.scopus.com/inward/record.url?scp=85013073766&partnerID=8YFLogxK
U2 - 10.7763/IJET.2014.V6.683
DO - 10.7763/IJET.2014.V6.683
M3 - Paper
AN - SCOPUS:85013073766
SP - 141
EP - 145
T2 - 2013 International Workshop on Computer Science and Engineering, WCSE 2013
Y2 - 24 August 2013 through 25 August 2013
ER -
