首页> 外文会议>Conference on image-guided procedures, robotic interventions, and modeling >3D-3D Registration of partial capitate bones using spin-images
【24h】

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

机译:使用旋转图像3D-3D对准部分头颅骨

获取原文

摘要

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配准部分对象。由于有限的视场(FOV),无法始终对整个对象成像。这项研究提出了一个现有的注册算法在这个问题上的新颖应用。自旋图像算法[1]相对于各个网格顶点创建全局形状的姿态不变表示。然后将这些“自旋图像”与同一对象的两个不同姿势进行比较,以建立对应关系,然后确定姿势的相对方向。在这项研究中,自旋图像算法应用于源自4DCT的头状骨头表面,以评估在排除各种几何形状的情况下配准的相对精度。在4DCT技术下有限的纵向覆盖范围(38.4mm,[2]),在对腕部运动进行成像时会导致人头的局部视图。这项研究通过人为限制可用于配准的头形几何图形来评估自旋图像算法配准部分骨骼表面的能力。在IRB的批准下,对患者进行了标准的静态CT和4DCT扫描。从静态CT和4DCT的一个相中分割头颅,在该相中可获得整个骨骼。在静态和4DCT之间执行自旋图像配准。然后逐渐除去4DCT头的远端部分(10-70%),并重复注册。通过角度误差和次分辨率拟合的百分比评估套准精度。使用旋转图像算法已确定可以省去60%的远端头,而对套准精度没有明显影响(角度误差<1.5度,子分辨率拟合> 98.4%)。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号