Morphological Pyramid Multi-modal Medical Image Registration Based on QPSO

Author

Huang, Xiaosheng ; Zhang, Fang

Author_Institution

Sch. of Inf. Eng., East China Jiaotong Univ., Nanchang, China

fYear

2009

fDate

8-9 Dec. 2009

Firstpage

67

Lastpage

70

Abstract

We proposed a morphological pyramid multimodal medical image registration algorithm based on quantum particle swarm optimization (QPSO), this approach utilizes the global affine transformation model between images. With the non-linear and multi-resolution properties of the morphological pyramid structure, and bilinear interpolation, this algorithm can be implemented hierarchically and obtain the optimal parameters with QPSO. The experiment shows that this optimizing algorithm can do more effectively and more accurately work than Levenberg-Marquardt (LM) optimizing algorithm.

Keywords

image registration; image resolution; interpolation; mathematical morphology; medical image processing; particle swarm optimisation; quantum computing; Levenberg-Marquardt optimizing algorithm; bilinear interpolation; global affine transformation; morphological pyramid multimodal medical image registration; multiresolution properties; nonlinear resolution properties; quantum particle swarm optimization; Asia; Biomedical engineering; Biomedical imaging; Convergence; Image processing; Image registration; Layout; Medical diagnostic imaging; Particle swarm optimization; Quantum computing; Levenberg-Mardquardt; QPSO; image registration; morphological pyramid;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Interaction and Affective Computing, 2009. ASIA '09. International Asia Symposium on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3910-2

Electronic_ISBN

978-1-4244-5406-8

Type

conf

DOI

10.1109/ASIA.2009.15

Filename

5376084