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Contour-Based TVUS-MR Image Registration for Mapping Small Endometrial Implants

机译:基于轮廓的TVUS-MR图像配准,用于定位小的子宫内膜植入物

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We propose a multi-modal image registration and fusion method to cope with the limitations of Magnetic Resonance (MR) and Transvaginal Ultrasound (TVUS) imaging in observing abdominal endometrial implants. Our method facilitates the transfer of two types of information from a 2D TVUS image to a 2D MR slice: (1) the location and shape of small implants and (2) the implants' depth of infiltration in the host tissue. Our registration method uses contour correspondences through a novel variational one-step deformable Iterative Closest Point (ICP) method. The proposed method compared favorably with classical ICP and Thin-Plate Spline Robust Point Matching (TPS-RPM) on several datasets.
机译:我们提出了一种多模式图像配准和融合方法,以应对磁共振(MR)和经阴道超声(TVUS)成像在观察腹部子宫内膜植入物中的局限性。我们的方法有助于将两种类型的信息从2D TVUS图像传输到2D MR切片:(1)小型植入物的位置和形状,以及(2)植入物在宿主组织中的浸润深度。我们的配准方法通过一种新颖的变分单步可变形迭代最近点(ICP)方法使用轮廓对应关系。在多个数据集上,该方法与经典ICP和薄板样条鲁棒点匹配(TPS-RPM)相比具有优势。

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