Brückner T, Lucht R, Brix G
Research Program Radiological Diagnostics and Therapy, German Cancer Research Center, Heidelberg.
Med Phys. 2000 Oct;27(10):2456-61. doi: 10.1118/1.1288241.
The present study aims at (i) the evaluation of the performance of a rigid and of an elastic matching algorithm for the coregistration of dynamic magnetic resonance (MR) images visualizing the female breast, and (ii) the evaluation of the mutual information (MI) as a matching criterion. To this end, ten patient data sets were analyzed. The comparison was performed with respect to the achieved increase in the MI and by visual inspection of the dynamic image series in a continuous film sequence ((cine mode). In most cases, the achieved increase in MI by elastic image registration is much higher than that achieved by rigid registration. Only for three of the ten data sets could the MI be increased by rigid image registration to a similar or even larger degree than by elastic image registration. Taking into account the results of the visual inspection of the rigid and elastic matched data sets, however, the elastic match leads to equal or better results for all data sets. Therefore, elastic matching is the gold standard for the registration of dynamic MR mammographic images of the female breast. The comparison of the increase in MI and the visual inspection further shows that the visual impression agrees in most cases with the result of the calculation of the MI. Therefore, the MI proves to be a suitable matching criterion for the type of data sets studied.
(i)评估用于女性乳房动态磁共振(MR)图像配准的刚性和弹性匹配算法的性能;(ii)评估互信息(MI)作为匹配标准。为此,分析了十个患者数据集。比较基于所实现的互信息增加情况以及通过在连续胶片序列(电影模式)中目视检查动态图像序列进行。在大多数情况下,通过弹性图像配准实现的互信息增加远高于刚性配准。在十个数据集中,只有三个数据集通过刚性图像配准能将互信息增加到与弹性配准相似甚至更大的程度。然而,考虑到对刚性和弹性匹配数据集的目视检查结果,弹性匹配对所有数据集都能产生相同或更好的结果。因此,弹性匹配是女性乳房动态MR乳腺造影图像配准的金标准。互信息增加情况的比较和目视检查进一步表明,在大多数情况下,视觉印象与互信息计算结果一致。因此,互信息被证明是适用于所研究数据集类型的匹配标准。