多模态三维图像配准中外部标记数的影响

A. Abche, G. Tzanakos, E. Micheli-Tzanakou
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引用次数: 3

摘要

利用蒙特卡罗技术对多模态三维图像配准所需的最小外部标记进行了定量研究。使用计算机模拟,使用预定义的转换以两种方式在头上生成测试图像。利用单纯形最小化法和变度量法对一组匹配的外部标记进行优化变换,研究给定数量标记的配准效果。作者研究了每个自由度的/spl chi//sup //和残差作为外部标记数量的函数。结果表明,10个及以上标记的配准效果最佳。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Effect of the number of external markers in multimodal 3-D image registration
The minimum number of external markers that is needed for a multimodal 3-D image registration is studied quantitatively by using Monte-Carlo techniques. Using computer simulation, test images are generated over the head in both modalities using a predefined transformation. The optimized transformation obtained from a set of matched external markers using the simplex minimization method followed by a variable metric method is applied to these images to study how good the registration is with a given number of markers. The authors studied the /spl chi//sup 2/ per degree of freedom and the residuals as a function of the number of external markers. It is found that the registration is optimum for 10 markers and above.<>
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