Improved Ant Colony Algorithm and Application in Sequence Images of Prostate DWI Registration

Xiao Ping Zong; Hai Bin Zhang; Lei Hao; Pei Guang Wang

doi:10.4028/www.scientific.net/AMR.1049-1050.530

Paper Titles

Structure Optimization on FEM Biomechanical Model of Bioabsorable Pure Magnesium Skin Staple
p.511

Progress of Intravascular Optical Coherence Tomography Image Technology and Vascular Three-Dimensional Reconstruction
p.515

A Heuristic Link Selection for Radio Frequency Tomography Based on BCS: Principle and Method
p.520

A Heuristic Link Selection for Radio Frequency Tomography Based on BCS: Application
p.526

Improved Ant Colony Algorithm and Application in Sequence Images of Prostate DWI Registration
p.530

Design on Biochemical Indicators Management System for Athletes
p.535

Reformation of Motorized Spindle Based on Composites Machining Center
p.539

Preliminary Toxicology Evaluation of Silymarin
p.544

Study on Intermolecular Forces of Corn Gluten with the Chemical Reagent Treatment
p.547

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1049-1050Improved Ant Colony Algorithm and Application in...

Improved Ant Colony Algorithm and Application in Sequence Images of Prostate DWI Registration

Abstract:

Because of the drift which exists in sequence image of prostate DWI (Diffusion Weighted Imaging), the global ant colony algorithm is introduced into the paper for registration optimization. The paper introduces an ant colony algorithm for continuous function optimization, based on max-min ant system (MMAS). This paper controls the transition probabilities and enhances the abilities of ants seeking globally optimal solutions by adding an adjustable factor in the basic ant colony algorithm and updating the local pheromone and global pheromone. Experimental results verify the effectiveness of the algorithm.

You might also be interested in these eBooks

Modern Technologies in Materials, Mechanics and Intelligent Systems

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 1049-1050)

Pages:

530-534

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.530

Citation:

Cite this paper

Online since:

October 2014

Authors:

Xiao Ping Zong, Hai Bin Zhang, Lei Hao, Pei Guang Wang*

Keywords:

Ant Colony Optimization Algorithm, Continuous Function, Diffusion Weighted Imaging (DWI), Image Registration, Pheromone

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] C. K. Kim, B. K. Park and B. Kim: American Journal of Roentgenology, Vol. 194(2010), No. 6, p.1461.

Google Scholar

[2] V. A. Morgan, S. Kyriazi and S. E. Ashley: Acta Radiologica, Vol. 48(2007), No. 6, p.695.

Google Scholar

[3] A Lemke, A Weidner and J Döpfert: Proceedings of the ISMRM-ESMRMB 19th Annual Meeting, Montreal. 2011, p.45.

Google Scholar

[4] M. Quentin, D. Blondin and J Klasen: Magnetic Resonance Imaging, Vol. 30(2012), No. 10, p.1468.

Google Scholar

[5] J H Jensen, J A Helpern : NMR BIOMED. 2010, No. 23, p.698.

Google Scholar

[6] J. J. Song, Y. P. Bai : Mathematics in Practice and Theory, Vol. 43(2013), No. 3, p.156.

Google Scholar

[7] Y. Liu, L. Ma: Mathematics in Practice and Theory, Vol. 41(2011), No. 6 p.150.

Google Scholar

[8] C. M. Ji, S. Yu and T. Zhou: Automation of Electric Power Systems, Vol. 35(2011), No. 20, p.103.

Google Scholar

[9] X. C. Yang, J. d. Wang and P. Li: Infrared Technology, Vol. 32(2011), No. 1 p.41.

Google Scholar

[10] Y. Chen: Sichuan University, Engineering Science Edition, Vol. 36 (2005), No. 6, p.117.

Google Scholar