Evaluation of nine similarity measures used in rigid registration
D Skerl, B Likar, F Pernus - Proceedings of the 17th …, 2004 - ieeexplore.ieee.org
D Skerl, B Likar, F Pernus
Proceedings of the 17th International Conference on Pattern …, 2004•ieeexplore.ieee.orgSince image registration is carried out by optimising a criterion function or similarity
measure, the behaviour of a similarity measure greatly influences the final result of
registration. In this paper, we describe a protocol to quantitatively evaluate the behaviour of
similarity measures. Registered MR/CT images of the spine and MR/MR brain images were
used to evaluate nine similarity measures. Besides, the effects of binning and noise on the
similarity measures were studied. The normalised and non-normalised mutual information …
measure, the behaviour of a similarity measure greatly influences the final result of
registration. In this paper, we describe a protocol to quantitatively evaluate the behaviour of
similarity measures. Registered MR/CT images of the spine and MR/MR brain images were
used to evaluate nine similarity measures. Besides, the effects of binning and noise on the
similarity measures were studied. The normalised and non-normalised mutual information …
Since image registration is carried out by optimising a criterion function or similarity measure, the behaviour of a similarity measure greatly influences the final result of registration. In this paper, we describe a protocol to quantitatively evaluate the behaviour of similarity measures. Registered MR/CT images of the spine and MR/MR brain images were used to evaluate nine similarity measures. Besides, the effects of binning and noise on the similarity measures were studied. The normalised and non-normalised mutual information were the two measures that performed the best.
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