23 research outputs found

    Statistic box-plots of registration results in terms of NC and NMI.

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    <p>(a) NC parameters for box-plots. (b) NMI parameters for box-plots. In CT image registration cases, these methods are represented by appending a suffix 1 (e.g. Global1) to the name abbreviations, while in MRI image cases, the suffix 2 is added to their name abbreviations (e.g. Global2).</p

    The average metric values of different algorithms for CT chest images (Mean value (95%CI)).

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    <p>The average metric values of different algorithms for CT chest images (Mean value (95%CI)).</p

    The average normalized correlation (NC_aver) and normalized mutual information (NMI_aver) with different d values.

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    <p>(a) Values at level 0 with the mesh resolution 8×8; (b) Values at level 1 with the mesh resolution 4×4.</p

    Registration results of different methods upon artificial image pairs with uniform small deformations.

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    <p>(a) the registration result of the LFEM method; (b) the registration result of DFEM method; (c) the registration result of RBM method; (d) the registration result of NFEM method. Squares in imags highlight the local differences.</p

    The average metric values of different algorithms for MRI brain images(Mean value (95%CI)).

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    <p>The average metric values of different algorithms for MRI brain images(Mean value (95%CI)).</p

    Mean distance and maximal distance of different algorithms for images with large deformations (Mean value (95%CI)).

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    <p>CI represents confidence interval.</p><p>Mean distance and maximal distance of different algorithms for images with large deformations (Mean value (95%CI)).</p

    Medical images examples for method evaluation.

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    <p>(a) reference image of chest CT image pairs,(b) floating image of chest CT image pairs, (c) reference image of brain MR image pairs, (d) floating image of brain MR image pairs.</p
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