Morphological Pyramid Multi-modal Medical Image Registration Based on QPSO

被引：2

作者：

Huang, Xiaosheng ^{[1
]}

Zhang, Fang ^{[1
]}

机构：

[1] E China Jiaotong Univ, Sch Informat Engn, Nanchang, Peoples R China

来源：

2009 INTERNATIONAL ASIA SYMPOSIUM ON INTELLIGENT INTERACTION AND AFFECTIVE COMPUTING | 2009年

关键词：

morphological pyramid; QPSO; Levenberg-Mardquardt; image registration;

D O I：

10.1109/ASIA.2009.15

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

we proposed a morphological pyramid multi-modal 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.

引用

页码：67 / 70

页数：4

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