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System and method for corpus callosum segmentation in magnetic resonance images

机译:用于磁共振图像中的体分割的系统和方法

摘要

A method and system for segmentation of the corpus callosum in MR brain images is disclosed. The method utilizes an active shape model (ASM) with confidence weighting to iteratively adjust an initial corpus callosum contour to define a boundary of the corpus callosum in an MR image. An ASM is used to determine a displacement value in a perpendicular direction of the corpus callosum contour for each node of the corpus callosum contour. The displacement value for each node is then weighted based on a confidence of that displacement value. The ASM is then fitted to the adjusted contour. These steps are iteratively performed until the contour converges to define the corpus callosum boundary. This boundary can be further refined based on intensity distributions in object and background regions defined by the boundary.
机译:公开了一种用于在MR脑图像中分割call体的方法和系统。该方法利用具有置信度加权的主动形状​​模型(ASM)来迭代地调整初始体轮廓,以定义MR图像中call体的边界。 ASM用于确定the体轮廓的每个节点在call体轮廓的垂直方向上的位移值。然后,基于该位移值的置信度对每个节点的位移值进行加权。然后将ASM安装到调整后的轮廓上。重复执行这些步骤,直到轮廓收敛以定义call体边界为止。可以基于边界定义的对象和背景区域中的强度分布进一步完善此边界。

著录项

  • 公开/公告号US7983464B2

    专利类型

  • 公开/公告日2011-07-19

    原文格式PDF

  • 申请/专利权人 QING XU;HONG CHEN;LI ZHANG;

    申请/专利号US20070782828

  • 发明设计人 HONG CHEN;LI ZHANG;QING XU;

    申请日2007-07-25

  • 分类号G06K9/00;

  • 国家 US

  • 入库时间 2022-08-21 18:11:08

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