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Active Shape Using the brightness distribution and gradient information from the MRI model-based automatic segmentation of prostate imaging apparatus and method

机译:活动形状使用亮度分布和来自基于MRI模型的前列腺成像设备自动分割的梯度信息的方法

摘要

the present invention include the prostate-recorded magnetic resonance (Magnetic Resonance, MR) imaging in prostate area to provide a technique for dividing. Prostate area is not easily separated by analogy with the configuration of the surrounding tissue area. The present invention is then selected for the brightness value profile is adaptively in order to solve this problem and create a statistical shape model based on a multi-resolution approach to extract the prostate surface using the active shape model. In addition, the geometry information is used to get rid of the hole (hole) on the image caused by a local optimization of the extraction process using the prostate surface active shape model (local optima). In addition, the present invention is anatomically correct for the large variation in the surface shape using the two-dimensional slope information, and by using a smoothing technique to express a smooth surface shape.
机译:本发明包括在前列腺区域中的前列腺记录的磁共振(Magnetic Resonance,MR)成像,以提供一种分割技术。与周围组织区域的结构类似,前列腺区域不容易分开。然后,为适应性地选择亮度值轮廓来选择本发明,以便解决该问题并基于多分辨率方法创建统计形状模型,以使用活动形状模型来提取前列腺表面。另外,几何信息用于去除图像上的孔(孔),该孔是由于使用前列腺表面活动形状模型(局部最优)对提取过程进行局部优化而引起的。另外,本发明在解剖学上使用二维斜率信息并且通过使用平滑技术来表达平滑的表面形状来对表面形状的大变化进行校正。

著录项

  • 公开/公告号KR101064080B1

    专利类型

  • 公开/公告日2011-09-08

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR20090076394

  • 发明设计人 홍헬렌;이학종;황성일;장유진;

    申请日2009-08-18

  • 分类号A61B5/055;

  • 国家 KR

  • 入库时间 2022-08-21 17:49:48

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