公开(公告)号：US20050013471A1

公开(公告)日：2005-01-20

申请号：US10623191

申请日：2003-07-18

申请人： Peter Snoeren ,  Nico Karssemeijer

发明人： Peter Snoeren ,  Nico Karssemeijer

IPC分类号： G06K9/00 ,  G06K9/32 ,  G06T7/00

CPC分类号： G06T7/35 ,  G06T2207/30068

摘要： Numerical image processing of two or more medical images to provide grayscale registration thereof is described, the numerical image processing algorithms being based at least in part on a model of medical image acquisition. The grayscale registered temporal images may then be displayed for visual comparison by a clinician and/or further processed by a computer-aided diagnosis (CAD) system for detection of medical abnormalities therein. A parametric method includes spatially registering two images and performing gray scale registration of the images. A parametric transform model, e.g., analog to analog, digital to digital, analog to digital, or digital to analog model, is selected based on the image acquisition method(s) of the images, i.e., digital or analog/film. Gray scale registration involves generating a joint pixel value histogram from the two images, statistically fitting parameters of the transform model to the joint histogram, generating a lookup table, and using the lookup table to transform and register pixel values of one image to the pixel values of the other image. The models take into account the most relevant image acquisition parameters that influence pixel value differences between images, e.g., tissue compression, incident radiation intensity, exposure time, film and digitizer characteristic curves for analog image, and digital detector response for digital image. The method facilitates temporal comparisons of medical images such as mammograms and/or comparisons of analog with digital images.

摘要翻译： 描述了两个或更多个医学图像的数字图像处理以提供其灰度注册，数字图像处理算法至少部分地基于医学图像采集的模型。 然后可以显示灰度登记的时间图像，以供临床医生视觉比较和/或由计算机辅助诊断（CAD）系统进一步处理以检测其中的医疗异常。 参数化方法包括空间注册两个图像并执行图像的灰度级配准。 基于图像的图像获取方法，即数字或模拟/电影，选择参数变换模型，例如模拟到模拟，数字到数字，模拟到数字或数字模拟模型。 灰度级配准涉及从两个图像生成关联像素值直方图，将变换模型的参数统计拟合到联合直方图，生成查找表，并使用查找表将一个图像的像素值变换和注册到像素值 的其他图像。 这些模型考虑了影响图像之间像素值差异的最相关的图像采集参数，例如组织压缩，入射辐射强度，曝光时间，模拟图像的胶片和数字化仪特性曲线以及数字图像的数字检测器响应。 该方法有助于医学图像的时间比较，例如乳房X线照片和/或模拟与数字图像的比较。

公开(公告)号：US20050163360A1

公开(公告)日：2005-07-28

申请号：US11026558

申请日：2004-12-30

申请人： Peter Snoeren ,  Nico Karssemeijer

发明人： Peter Snoeren ,  Nico Karssemeijer

IPC分类号： G06K9/00 ,  G06K9/32 ,  G06T7/00

CPC分类号： G06T7/35 ,  G06F19/00 ,  G06K9/32 ,  G06T2207/30068

摘要： Simultaneous grayscale and geometric registration of images, such as mammograms, facilitates temporal comparison and enhances the speed and reliability of computer aided diagnosis (CAD) detection of medical abnormalities. The method generally includes optimizing a merit function, e.g., sum of squared errors, containing parameters associated with a transformation function for simultaneous geometric and grayscale registering of the images, the optimizing of the merit function being performed by determining optimal values of the parameters using data in the images and registering one image to the other by applying the geometric and grayscale transformation function using the optimal values of the parameters. The optimizing may be performed iteratively from coarse to fine resolutions using a modified Levenberg-Marquardt method for optimizing nonlinear parameters with linear regression for optimizing linear parameters. A final iteration may be performed after removing pixel value pairs from the images that correspond to outliers of a joint pixel value histogram.

摘要翻译： 图像的同时灰度和几何配准，如乳房X线照片，有助于时间比较，提高计算机辅助诊断（CAD）检测医疗异常的速度和可靠性。 该方法通常包括优化优值函数，例如平方误差的和，其包含与用于同时几何和灰度级映射的图像的变换函数相关联的参数，通过使用数据确定参数的最佳值来优化所执行的优值函数的优化 在图像中并且通过使用参数的最佳值应用几何和灰度变换函数将一个图像注册到另一个图像。 可以使用改进的Levenberg-Marquardt方法从粗到细分辨率迭代地执行优化，以用于优化线性参数的线性回归来优化非线性参数。 从对应于联合像素值直方图的异常值的图像中去除像素值对之后，可以执行最后的迭代。