首页> 外国专利> Method for the fully automatic segmentation of an organ, in particular of the renal parenchyma, of volume data sets of the medical imaging

Method for the fully automatic segmentation of an organ, in particular of the renal parenchyma, of volume data sets of the medical imaging

机译:用于医学图像的体积数据集的器官特别是肾实质的全自动分割的方法

摘要

A process for the segmentation of an organ, in particular of the renal parenchyma, in volume data sets of the medical imaging, wherein the– on the basis of segmentation results from training records– a region of interest within a recorded volume data set is fixed, of the organ, and with the highest probability contains– a probability data set is generated, in which each voxel of the volume data set based on its intensity values and the segmentation results from the training records a probability is assigned to the organ to include,– in the region of interest to the probability data set a threshold value method is used, by means of which a organ area is separated from the background, in order to obtain a binary data record, in the voxel of the background and voxel outside the region of interest have a different value in the form of a voxel of the organ area,– Performing a stepwise erosion of the organ area in the binary data set to a predeterminable number of steps, in the case of the– at each step, starting from an outer boundary of the organ area a layer of the organ area is removed,– in the case of a splitting of the organ area into a plurality of partial areas in the case of a step in each case only one of the partial areas, of the with the highest probability of the member, is selected for the further erosion or eroding,– wherein the partial region, the with the highest probability of the member contains, in each case on the basis of geometrical features in at least one layer of the binary data set is selected, which are known from the training records,– in the probability data set the probability values of voxels of the partial regions of the substrips in the binary data record be reduced, so that a corrected probability data set is obtained, and– on the basis of the corrected probability data set a segmentation technique is used, in order to the member from the probability data set from the volume data set and thus also be segmented.
机译:在医学成像的体积数据集中分割器官特别是肾实质的过程,其中-根据训练记录的分割结果,已记录的体积数据集中的感兴趣区域是固定的,并且包含最高概率的器官将生成一个概率数据集,其中,体数据集的每个体素基于其强度值和训练记录的分割结果,将概率分配给器官以包括,–在概率数据集感兴趣的区域中,使用阈值方法,通过该方法,将器官区域与背景分开,以便在背景的体素中和外部的体素中获取二进制数据记录感兴趣的区域以器官区域的体素形式具有不同的值,–在以下情况下,对二进制数据集中的器官区域进行逐步侵蚀,以达到预定的步数–在每个步骤中,从器官区域的外边界开始去除器官区域的一层,如果在将器官区域分为多个部分区域的情况下,则每个步骤仅去除一个器官区域为进一步腐蚀或腐蚀选择了部分概率最大的部分区域中的– –其中,部分概率最大的部分区域分别基于几何特征而包含从训练记录中知道,至少选择了二进制数据集的一层。–在概率数据集中,二进制数据记录中子带的部分区域的体素的概率值减小了,以便校正获得概率数据集,并且-在校正后的概率数据集的基础上,使用分割技术,以便对来自体数据集的概率数据集的成员进行分割。

著录项

  • 公开/公告号DE102011006817B4

    专利类型

  • 公开/公告日2014-07-17

    原文格式PDF

  • 申请/专利权人 SIEMENS AKTIENGESELLSCHAFT;

    申请/专利号DE20111006817

  • 发明设计人 OLIVER GLOGER;

    申请日2011-04-06

  • 分类号A61B19/00;A61B5/055;G06T7/40;

  • 国家 DE

  • 入库时间 2022-08-21 15:38:03

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

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