采用随机性能函数的简单遗传算法对连续DSA图像进行配准

J. Jacq, C. Roux
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引用次数: 3

摘要

作者提出了一种方法,旨在自动配准连续图像的序列数字减影血管造影(DSA)。它是基于搜索多项式翘曲,使两个待配准图像之间的距离最小化L/sub /。优化过程采用基于传统遗传算法的方法,采用随机适应度函数,只对随机选择的个体起作用。通过考虑等高线附近的站点地图,将该方法应用于连续DSA图像的配准。在顺序计算机上,在合理的处理时间内获得了良好的初步结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Registration of successive DSA images using a simple genetic algorithm with a stochastic performance function
The authors present a method aimed at automatic registration of successive images in a sequence of digital subtraction angiographies (DSA). It is based on the search for polynomial warping which minimizes a L/sub 1/ distance between the two images to be registered. The optimization procedure is carried out by a method based on a traditional genetic algorithm with a stochastic fitness function which operates only on randomly selected individuals. Application to the registration of successive DSA images has been made by considering a map of sites in the neighborhoods of contours. Good preliminary results have been obtained in a reasonable processing time on a sequential computer.<>
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