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An intensity-based approach to X-ray mammography - MRI registration

机译：基于强度的X射线乳房X线照相术方法 - MRI注册

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This paper presents a novel approach to X-ray mammography - MRI registration. The proposed method uses an intensity-based technique and an affine transformation matrix to approximate the 3D deformation of the breast resulting from the compression applied during mammogram acquisition. The registration is driven by a similarity measure that is calculated at each iteration of the algorithm between the target X-ray mammogram and a simulated X-ray image, created from the MR volume. Although the similarity measure is calculated in 2D, we compute a 3D transformation that is updated at each iteration. We have performed two types of experiments. In the first set, we used simulated X-ray target data, for which the ground truth deformation of the volume was known and thus the results could be validated. For this case, we examined the performance of 4 different similarity measures and we show that Normalized Cross Correlation and Gradient Difference perform best. The calculated mean reprojection error was for both similarity measures 4mm, for an initial misregistration of 14mm. In the second set of experiments, we present the initial results of registering real X-ray mammograms with MR volumes. The results indicate that the breast boundaries were registered well and the volume was deformed in 3D in a similar way to the deformation of the breast during X-ray mammogram acquisition. The experiments were carried out on five patients.
机译：本文提出了一种新颖的X射线乳房X线摄影方法 - MRI注册。所提出的方法使用基于强度的技术和仿射变换矩阵，以近似于在乳房图获取期间施加的压缩产生的乳房的3D变形。通过在目标X射线乳房X线图和模拟从MR卷产生的模拟X射线图像之间计算的相似度量来驱动标准。虽然在2D中计算了相似度测量，但我们计算在每次迭代时更新的3D变换。我们已经进行了两种类型的实验。在第一组中，我们使用了模拟的X射线目标数据，其中卷的地面真理变形是已知的，因此可以验证结果。对于这种情况，我们检查了4种不同相似度措施的性能，我们表明正常化的交叉相关性和梯度差异最佳。计算的平均输注误差对于两个相似度测量4mm，用于14mm的初始误解。在第二组实验中，我们介绍了用MR卷注册真正的X射线乳房X线图的初始结果。结果表明，乳房界限很好，并且在X射线乳房X线图采集期间，体积以与乳房的变形相似的方式变形。实验是在五名患者进行的。

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