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    • 2. 发明授权
    • Method of generating a multiscale contrast enhanced image
    • 生成多尺度对比度增强图像的方法
    • US08442340B2
    • 2013-05-14
    • US12681791
    • 2008-10-02
    • Tom BertensPieter Vuylsteke
    • Tom BertensPieter Vuylsteke
    • G06K9/40
    • G06T5/008G06T5/20G06T2207/10024G06T2207/20016
    • At least one approximation image is created of the image at one or multiple scales. Translation difference images are created by pixel-wise subtracting the values of an approximation image at scale s and the values of a translated version of the approximation image. A non-linear modification is applied to the values of the translation difference image (s) and at least one enhanced center difference image at a specific scale is computed by combining the modified translation difference images at that scale or a smaller scale with weights Wi,j. An enhanced image is computed by applying a reconstruction algorithm to the enhanced center difference images. The non-linear modification of the values of the translation difference images is steered by the values of an orientation map which comprises for each pixel a local direction of interest. In addition or alternatively, at least one enhanced center difference image is computed by anisotropic weighing of the enhanced translation differences with weights steered by the orientation map.
    • 以一个或多个尺度创建图像的至少一个近似图像。 翻译差异图像通过以像素方式减去尺度s的近似图像的值和近似图像的翻译版本的值来创建。 将非线性修改应用于平移差分图像的值,并且通过将修改后的平移差分图像以较小比例与权重Wi组合,来计算特定比例的至少一个增强中心差分图像, j。 通过对增强的中心差分图像应用重建算法来计算增强图像。 平移差分图像的值的非线性修正是通过对每个像素包括感兴趣的局部方向的方向图的值进行控制的。 另外或替代地,通过用取向图转向的重量的增强的平移差异的各向异性加权来计算至少一个增强中心差图像。
    • 4. 发明申请
    • Method of Generating a Multiscale Contrast Enhanced IMage
    • 生成多尺度对比增强型IMage的方法
    • US20100266183A1
    • 2010-10-21
    • US12747412
    • 2008-12-10
    • Tom BertensPieter Vuylsteke
    • Tom BertensPieter Vuylsteke
    • G06K9/40G06K9/00
    • G06T5/008G06T5/20G06T2207/10081G06T2207/20016
    • A digital image signal is decomposed into a multi-scale representation comprising detail images and approximation images. Translation difference images are computed by subtracting an approximation image at scale s and a translated version of that approximation image. The values of the translation difference images are non-linearly modified. An amplification image is computed at least one scale as the ratio of a first image being computed by combining the modified translation difference images at the same or smaller scale and a second image created by combining unenhanced translation difference images at the same or smaller scale. Next, an enhanced multi-scale detail representation is computed by modifying at least one scale the detail image according to the amplification image at that scale. An enhanced image representation is computed by applying a reconstruction algorithm to the enhanced multi-scale detail representation. The non-linear modification of the values of the translation difference image is steered by the values of an orientation map which comprises for each pixel on a specific scale a local direction of interest.
    • 数字图像信号被分解成包括细节图像和近似图像的多尺度表示。 通过减去尺度s的近似图像和该近似图像的翻译版本来计算翻译差异图像。 平移差分图像的值是非线性修正的。 通过组合相同或较小比例的修改的平移差分图像和通过以相同或更小的比例组合未增强的平移差分图像而创建的第二图像,计算至少一个刻度作为正在计算的第一图像的比率的放大图像。 接下来,通过根据该比例的放大图像修改至少一个比例的细节图像来计算增强的多尺度细节表示。 通过将重建算法应用于增强的多尺度细节表示来计算增强的图像表示。 平移差分图像的值的非线性修正是通过定向图的值来引导的,该方向图对于特定尺度上的每个像素包括局部感兴趣的方向。
    • 5. 发明申请
    • Method for Deriving Amount of Dense Tissue from Mammographic Image
    • 用于从乳房X光影像中导出密集组织量的方法
    • US20100104151A1
    • 2010-04-29
    • US12550678
    • 2009-08-31
    • Tom Bertens
    • Tom Bertens
    • G06K9/00
    • G06T7/0012G06T7/11G06T2207/10116G06T2207/30068
    • A region of interest in the image is determined and for each pixel in each location (x,y) in that region of interest a value hint(x,y) is computed representing the amount of dense tissue below said pixel as h int  ( x , y ) = 2 μ fat  ( E ) - μ int  ( E )  ( Log  ( p  ( x , y ) ) - Log  ( p fat ) ) wherein p(x,y) represents the pixel value of a pixel at location (x,y) in said digital mammographic image, pfat is a reference fat pixel value, μfat,μint are the linear attenuation coefficients of fat tissue and dense tissue and E is the mono-energetic energy value of the x-ray source at image recording, whereby E and pfat are derived from said digital mammographic image representation.
    • 确定图像中的感兴趣区域,并且对于感兴趣区域中的每个位置(x,y)中的每个像素,计算值提示(x,y),表示所述像素下面的致密组织的量为h int( (p)μμ(((wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein wherein pfat是参考脂肪像素值,μfat,μint是脂肪组织和致密组织的线性衰减系数,E是所述数字乳腺X线摄影图像中的单能量能量值, 图像记录中的X射线源,其中E和pfat源自所述数字乳腺X线照相图像表示。
    • 7. 发明授权
    • Irradiation field recognition
    • 照射场识别
    • US09443160B2
    • 2016-09-13
    • US13982175
    • 2012-02-27
    • Tom Bertens
    • Tom Bertens
    • G06T7/00G06K9/34
    • G06K9/34G06T7/11G06T2207/10116G06T2207/20061G06T2207/20152
    • A method to extract irradiation field areas in an X-ray image represented by a digital signal representation comprising the steps of segmenting the image in multiple regions of pixels which have similar local image characteristics, fitting line segments to the boundaries of these regions whereby said line segments correspond with candidate irradiation field boundaries and constitute a segmentation map, classifying regions in said segmentation map into at least two classes, one class being irradiation field and the other class being collimated region on the basis of at least one of local, regional and global image characteristics.
    • 一种用于提取由数字信号表示表示的X射线图像中的照射场区域的方法,包括以下步骤:在具有相似局部图像特性的多个像素区域中分割图像,将线段拟合到这些区域的边界,由此所述线 片段对应于候选照射场边界并构成分割图,将所述分割图中的区域分为至少两个类别,一类是照射场,另一类是基于局部,区域和全局中的至少一个的准直区域 图像特征。
    • 8. 发明申请
    • Method of Generating a Multiscale Contrast Enhanced Image
    • 生成多尺度对比增强图像的方法
    • US20100195886A1
    • 2010-08-05
    • US12669547
    • 2008-06-10
    • Tom BertensPieter Vuylsteke
    • Tom BertensPieter Vuylsteke
    • G06K9/40
    • G06T7/269
    • At least one approximation image is created of the image at one or multiple scales. Translation difference images are created by pixel-wise subtracting the values of an approximation image at scale s and the values of a translated version of the approximation image. A non-linear modification is applied to the values of the translation difference image (s) and at least one enhanced center difference image at a specific scale is computed by combining the modified translation difference images at that scale or a smaller scale with weights wi,j. An enhanced image is computed by applying a reconstruction algorithm to the enhanced center difference images. The non-linear modification of the values of the translation difference images is steered by (a) characteristic (s) computed out of the approximation image (s) at least one scale.
    • 以一个或多个尺度创建图像的至少一个近似图像。 翻译差异图像通过以像素方式减去尺度s的近似图像的值和近似图像的翻译版本的值来创建。 将非线性修改应用于平移差分图像的值,并且通过将修改的平移差异图像以该尺度或较小尺度与权重w i组合而计算出特定比例的至少一个增强中心差分图像, j。 通过对增强的中心差分图像应用重建算法来计算增强图像。 通过(a)由近似图像计算出的至少一个刻度的特征来转向平移差分图像的值的非线性修改。