Medical Image Registration Based on Expanded PV Interpolation and Hybrid Optimization Algorithm

PENG Jing-lin; ZHANG Jing; LI Shu-tao

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Medical Image Registration Based on Expanded PV Interpolation and Hybrid Optimization Algorithm

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- Medical Image Registration Based on Expanded PV Interpolation and Hybrid Optimization Algorithm
- Acta Electronica Sinica Vol. 34, Issue 5, Pages: 962-965(2006)
- 作者机构：
  
  湖南大学电气与信息工程学院,湖南,长沙,410082
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Published：2006
- 稿件说明：
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PENG Jing-lin, ZHANG Jing, LI Shu-tao. Medical Image Registration Based on Expanded PV Interpolation and Hybrid Optimization Algorithm[J]. Acta Electronica Sinica, 2006, 34(5): 962-965.
DOI：

PENG Jing-lin, ZHANG Jing, LI Shu-tao. Medical Image Registration Based on Expanded PV Interpolation and Hybrid Optimization Algorithm[J]. Acta Electronica Sinica, 2006, 34(5): 962-965. DOI：

摘要

基于互信息的医学图像配准算法近来获得了广泛的应用.在计算互信息的时候

采用部分体积插值计算联合直方图无法避免在象素整数倍位移处的局部极值

有可能导致误配准.本文提出了基于B样条函数的部分体积插值方法

有效地减少象素整数倍位移处的局部极值;在优化互信息函数的时候先使用遗传算法将配准参数收敛到最优值附近

然后使用Powell方法进行局部搜索

避免误收敛.实验表明

本文提出的算法具有更好的精确性和稳定性.

Abstract

The medical image registration method based on mutual information has been widely used recently.Despite of its advantages over other algorithms

it will introduce artifacts in calculating joint histogram with conventional partial volume (PV) interpolation.In this paper

an expand PV interpolation algorithm with B-spline is proposed to reduce the interpolation artifacts.A hybrid search strategy combined genetic algorithm with Powell's method is used to find the optimum value.Experimental results indicate the proposed algorithm can achieve better accuracy and robustness.

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