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

机译:基于强度的X射线乳腺摄影方法-MRI配准

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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:本文介绍了一种新颖的X射线乳腺摄影方法-MRI配准。所提出的方法使用基于强度的技术和仿射变换矩阵来近似估计在乳房X线照片获取期间施加的压缩导致的乳房3D变形。配准由相似性度量驱动,该相似性度量在算法的每次迭代中在目标X射线乳房X线照片和从MR体积创建的模拟X射线图像之间进行计算。尽管相似性度量是在2D中计算的,但是我们计算的3D转换在每次迭代时都会更新。我们执行了两种类型的实验。在第一组中,我们使用模拟的X射线目标数据,对于该数据,已知体积的地面真实变形,因此可以验证结果。对于这种情况,我们检查了4种不同的相似性度量的性能,并表明归一化互相关和梯度差表现最佳。两种相似性度量的平均重投影误差均为4mm,初始配准误差为14mm。在第二组实验中,我们介绍了用MR体积配准实际X射线乳房X线照片的初步结果。结果表明,乳房边界被很好地记录,并且体积在3D中以类似于X射线乳房X线照片采集期间乳房变形的方式变形。实验对五名患者进行。

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