首页> 外文会议>WRI World Congress on Computer Science and Information Engineering >Non-rigid Medical Image Registration Based on the Thin-Plate Spline Algorithm
【24h】

Non-rigid Medical Image Registration Based on the Thin-Plate Spline Algorithm

机译:基于薄板样条算法的非刚性医学图像配准

获取原文
获取外文期刊封面目录资料

摘要

For the registration of large image distortion of some special places, the non-rigid registration is more accurate and necessary compared with the rigid registration. In this paper, a kind of non-rigid medical image registration algorithm based on the thin-plate spline is presented and discussed in detail. The hybrid energy formula is presented. In the process of registration, the thin-plate spline algorithm is proposed to deal with the whole image registration. In order to reduce and locate the registration region, the iterativeness of simulated annealing algorithm is proposed. In the local pending registration area, mutual information method is used and the local distortion is adjusted to resolve the incomplete match caused by the lack of characteristic points, which do help to get smoother image and better effect of non-rigid image registration. The dynamic outlier removal method is used to deal with outlier and make sure the accurate transformation function. In addition, some empirical data was modified for the purpose of getting better effect. It was proved by the experiments that the non-rigid medical image registration made a better registration effect for the large image distortion.
机译:对于某些特殊位置的大图像失真配准,与刚性配准相比,非刚性配准更加准确和必要。本文提出并详细讨论了一种基于薄板样条的非刚性医学图像配准算法。给出了混合能量公式。在配准过程中,提出了薄板样条算法来处理整个图像配准。为了减少和定位配准区域,提出了模拟退火算法的迭代性。在局部未决配准区域中,采用互信息方法,并通过调整局部畸变来解决由于缺乏特征点而导致的不完全匹配的问题,有助于获得更平滑的图像和更好的非刚性图像配准效果。动态离群值去除方法用于处理离群值并确保准确的变换功能。此外,为了获得更好的效果,对一些经验数据进行了修改。实验证明,非刚性医学图像配准对于较大的图像畸变具有较好的配准效果。

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