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1. 发明授权

US08417005B1 Method for automatic three-dimensional segmentation of magnetic resonance images 有权
标题翻译：磁共振图像自动三维分割方法
公开(公告)号：US08417005B1
公开(公告)日：2013-04-09
申请号：US13233570
申请日：2011-09-15
申请人： Anne L Martel , Cristina Gallego
发明人： Anne L Martel , Cristina Gallego
IPC分类号： G06K9/00 , G01N23/00
CPC分类号： G01R33/5608 , G06T7/12 , G06T7/143 , G06T7/149 , G06T2207/10088 , G06T2207/20056 , G06T2207/20128 , G06T2207/30068
摘要： A method for automatically segmenting a volume-of-interest representative of a subject's breast from a three-dimensional magnetic resonance image is provided. The three-dimensional image may include a plurality of spatially contiguous two-dimensional images. The image is converted to a monogenic signal, which is analyzed to determine locations in the image that correspond to maximal phase congruency in the monogenic signal. The orientation of each of these locations is determined and used along with the locations to estimate a boundary surface of the volume-of-interest. The estimated surface may be used to segment the image directly, or to generate a surface model, such as a statistical shape model, that is used to segment the image. This provided method is robust to segmenting the subject's breast, even at the chest-wall boundary in images with lower contrast-to-noise ratio between breast tissue and tissues in and around the chest wall.
摘要翻译：提供了一种用于从三维磁共振图像自动分割对象胸部的兴趣体积代表的方法。三维图像可以包括多个空间连续的二维图像。图像被转换为单基因信号，其被分析以确定对应于单基因信号中的最大相位一致性的图像中的位置。确定每个这些位置的方向并与位置一起使用以估计感兴趣体积的边界表面。估计的表面可以用于直接分割图像，或者用于生成用于分割图像的表面模型，例如统计形状模型。这种提供的方法对于分割受试者的乳房是鲁棒的，即使在乳房组织和胸壁周围组织之间具有较低对比度对比度的图像的胸壁边界。

2. 发明申请

US20130070990A1 METHOD FOR AUTOMATIC THREE-DIMENSIONAL SEGMENTATION OF MAGNETIC RESONANCE IMAGES 有权
标题翻译：磁共振图像自动三维分割方法
公开(公告)号：US20130070990A1
公开(公告)日：2013-03-21
申请号：US13233570
申请日：2011-09-15
申请人： Anne L. Martel , Cristina Gallego
发明人： Anne L. Martel , Cristina Gallego
IPC分类号： G06K9/34
CPC分类号： G01R33/5608 , G06T7/12 , G06T7/143 , G06T7/149 , G06T2207/10088 , G06T2207/20056 , G06T2207/20128 , G06T2207/30068
摘要： A method for automatically segmenting a volume-of-interest representative of a subject's breast from a three-dimensional magnetic resonance image is provided. The three-dimensional image may include a plurality of spatially contiguous two-dimensional images. The image is converted to a monogenic signal, which is analyzed to determine locations in the image that correspond to maximal phase congruency in the monogenic signal. The orientation of each of these locations is determined and used along with the locations to estimate a boundary surface of the volume-of-interest. The estimated surface may be used to segment the image directly, or to generate a surface model, such as a statistical shape model, that is used to segment the image. This provided method is robust to segmenting the subject's breast, even at the chest-wall boundary in images with lower contrast-to-noise ratio between breast tissue and tissues in and around the chest wall.
摘要翻译：提供了一种用于从三维磁共振图像自动分割对象胸部的兴趣体积代表的方法。三维图像可以包括多个空间连续的二维图像。图像被转换为单基因信号，其被分析以确定对应于单基因信号中的最大相位一致性的图像中的位置。确定每个这些位置的方向并与位置一起使用以估计感兴趣体积的边界表面。估计的表面可以用于直接分割图像，或者用于生成用于分割图像的表面模型，例如统计形状模型。这种提供的方法对于分割受试者的乳房是鲁棒的，即使在乳房组织和胸壁周围组织之间具有较低对比度对比度的图像的胸壁边界。

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