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3D-3D Registration of partial capitate bones using spin-images

机译:使用旋转图像的部分光线骨骼的3D-3D注册

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It is often necessary to register partial objects in medical imaging. Due to limited field of view (FOV), the entirety of an object cannot always be imaged. This study presents a novel application of an existing registration algorithm to this problem. The spin-image algorithm [1] creates pose-invariant representations of global shape with respect to individual mesh vertices. These 'spin-images,' are then compared for two different poses of the same object to establish correspondences and subsequently determine relative orientation of the poses. In this study, the spin-image algorithm is applied to 4DCT-derived capitate bone surfaces to assess the relative accuracy of registration with various amounts of geometry excluded. The limited longitudinal coverage under the 4DCT technique (38.4mm, [2]), results in partial views of the capitate when imaging wrist motions. This study assesses the ability of the spin-image algorithm to register partial bone surfaces by artificially restricting the capitate geometry available for registration. Under IRB approval, standard static CT and 4DCT scans were obtained on a patient. The capitate was segmented from the static CT and one phase of 4DCT in which the whole bone was available. Spin-image registration was performed between the static and 4DCT. Distal portions of the 4DCT capitate (10-70%) were then progressively removed and registration was repeated. Registration accuracy was evaluated by angular errors and the percentage of sub-resolution fitting. It was determined that 60% of the distal capitate could be omitted without appreciable effect on registration accuracy using the spin-image algorithm (angular error < 1.5 degree, sub-resolution fitting > 98.4%).
机译:通常需要在医学成像中注册部分对象。由于视场有限(FOV),因此不能始终成像对象的整体。本研究提出了对该问题的现有注册算法的新应用。旋转图像算法[1]在各个网格顶点上创建全局形状的姿势不变表示。然后将这些“自旋图像”进行比较,以与相同对象的两个不同的姿势建立对应关系并随后确定姿势的相对取向。在该研究中,旋转图像算法应用于4DCT导出的引导性骨表面,以评估与各种数量的几何形状的配准的相对精度。在4DCT技术(38.4mm,[2])下的有限纵向覆盖率,导致成像手腕运动时的局部视图。本研究评估了旋转图像算法通过人工限制可用于配准的能力几何来注册部分骨表面的能力。根据IRB批准,在患者上获得标准静态CT和4DCT扫描。从静态CT和4DCT的一个相中分段,整个骨骼可获得。在静态和4DCT之间进行旋转图像配准。然后逐渐去除4DCT曲线(10-70%)的远端部分并重复配准。通过角度误差和子分辨率配件的百分比评估注册精度。确定可以使用自旋图像算法(角度误差<1.5度,子分辨率配件> 98.4%)对登记精度明显影响了60%的远端光线。

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