公开(公告)号：US06580818B2

公开(公告)日：2003-06-17

申请号：US09974317

申请日：2001-10-09

申请人： Nico Karssemeijer ,  Guido M. te Brake

发明人： Nico Karssemeijer ,  Guido M. te Brake

IPC分类号： G06K900

CPC分类号： G06T7/0012 ,  G06K9/4604 ,  G06T7/64 ,  G06T2207/30068

摘要： A method and apparatus for the automated detection of masses in a digital mammogram, the method for use in a computer aided diagnosis system for assisting a radiologist in identifying and recognizing suspicious portions of the digital mammogram. A gradient image is created from the digital mammogram, and information in the gradient image is processed for identifying masses. In a preferred embodiment, a portion of a spiculation detection algorithm is applied to the gradient image for identifying masses. The spiculation detection algorithm comprises a line detection portion and a post-line detection portion, and it is the post-line detection portion which is applied to the gradient image for identifying masses. Advantageously, computer programs which have already been written for spiculation detection may, with minor modifications, be ported into mass detection programs.

公开(公告)号：US06301378B1

公开(公告)日：2001-10-09

申请号：US08868277

申请日：1997-06-03

申请人： Nico Karssemeijer ,  Guido M. te Brake

发明人： Nico Karssemeijer ,  Guido M. te Brake

IPC分类号： G06K900

CPC分类号： G06T7/0012 ,  G06K9/4604 ,  G06T7/64 ,  G06T2207/30068

摘要： A method and apparatus for the automated detection of masses in a digital mammogram, the method for use in a computer aided diagnosis system for assisting a radiologist in identifying and recognizing suspicious portions of the digital mammogram. A gradient image is created from the digital mammogram, and information in the gradient image is processed for identifying masses. In a preferred embodiment, a portion of a spiculation detection algorithm is applied to the gradient image for identifying masses. The spiculation detection algorithm comprises a line detection portion and a post-line detection portion, and it is the post-line detection portion which is applied to the gradient image for identifying masses. Advantageously, computer programs which have already been written for spiculation detection may, with minor modifications, be ported into mass detection programs.

摘要翻译： 一种用于自动检测数字乳腺X线照片中的质量的方法和装置，该方法用于计算机辅助诊断系统，用于协助放射科医师识别和识别数字乳腺X线照片的可疑部分。 从数字乳腺X线照片创建梯度图像，处理梯度图像中的信息以识别质量。 在一个优选实施例中，将一部分刺激检测算法应用于用于识别质量的梯度图像。 刺激检测算法包括线检测部分和后线检测部分，并且其是应用于用于识别质量的梯度图像的后线检测部分。 有利的是，已经用于刺激检测的计算机程序可以进行微小的修改，被移植到质量检测程序中。