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Mapping 3D breast lesions from full-field digital mammograms using subject-specific finite element models

机译:使用特定于对象的有限元模型从全视野数字化乳房X光照片绘制3D乳房病变

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Patient-specific finite element (FE) models of the breast have received increasing attention due to the potential capability of fusing images from different modalities. During the Magnetic Resonance Imaging (MRI) to X-ray mammography registration procedure, the FE model is compressed mimicking the mammographic acquisition. Subsequently, suspicious lesions in the MRI volume can be projected into the 2D mammographic space. However, most registration algorithms do not provide the reverse information, avoiding to obtain the 3D geometrical information from the lesions localized in the mammograms. In this work we introduce a fast method to localize the 3D position of the lesion within the MRI, using both cranio-caudal (CC) and medio-lateral oblique (MLO) mammographic projections, indexing the tetrahedral elements of the biomechanical model by means of an uniform grid. For each marked lesion in the Full-Field Digital Mammogram (FFDM), the X-ray path from source to the marker is calculated. Barycentric coordinates are computed in the tetrahedrons traversed by the ray. The list of elements and coordinates allows to localize two curves within the MRI and the closest point between both curves is taken as the 3D position of the lesion. The registration errors obtained in the mammographic space are 9.89 ± 3.72 mm in CC- and 8.04 ± 4.68 mm in MLO-projection and the error in the 3D MRI space is equal to 10.29 ± 3.99 mm. Regarding the uniform grid, it is computed spending between 0.1 and 0.7 seconds. The average time spent to compute the 3D location of a lesion is about 8 ms.
机译:乳房的患者特定有限元(FE)模型由于融合了来自不同模态的图像的潜在能力而受到越来越多的关注。在磁共振成像(MRI)到X射线乳房X射线照片配准过程中,FE模型被压缩以模仿乳房X射线照片的采集。随后,可以将MRI体积中的可疑病变投影到2D乳腺摄影空间中。但是,大多数配准算法不提供反向信息,从而避免从乳房X线照片中定位的病变获得3D几何信息。在这项工作中,我们介绍了一种快速方法,可以使用颅尾(CC)和中外侧斜(MLO)乳房X线照片投影来定位MRI中病变的3D位置,并通过以下方式索引生物力学模型的四面体元素统一的网格。对于全视野数字乳房X线照片(FFDM)中的每个明显病变,将计算从源到标记的X射线路径。重心坐标是在射线遍历的四面体中计算的。元素和坐标列表允许在MRI内定位两条曲线,两条曲线之间的最近点被视为病变的3D位置。在乳腺摄影空间中获得的配准误差在CC成像中为9.89±3.72 mm,在MLO投影中为8.04±4.68 mm,在3D MRI空间中的误差等于10.29±3.99 mm。关于均匀网格,计算得出的花费在0.1到0.7秒之间。计算病变的3D位置所花费的平均时间约为8毫秒。

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