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    • 4. 发明授权
    • Method and device for noise suppression in medical images
    • 医学图像中噪声抑制的方法和装置
    • US08249355B2
    • 2012-08-21
    • US12313566
    • 2008-11-21
    • Stefan BöhmSandra Martin
    • Stefan BöhmSandra Martin
    • G06K9/40G06T5/00
    • A61B6/504A61B6/12G06T5/002G06T7/13G06T2207/10116G06T2207/20012G06T2207/30004
    • The invention relates to a method for noise suppression in medical images comprising steps of measuring the gradient field strength of an image pixel and selecting a suitable filter mask for noise suppression as a function of the gradient field strength, with the value of the gradient field strength being compared with a predetermined threshold value. The method is repeated when an additional image pixel is selected. A decision is made per read-in image pixel as to which type of filter mask is used for filtering. A selection can be made between filter masks of different sizes or isotropic or anisotropic or directional filter masks. The decision is based on the measured gradient field strength of the respective pixel. The use of different filter masks allows the signal-to-noise ratio to be improved, without distorting structures like edges for instance and without generating artificial structures in homogenous noise regions.
    • 本发明涉及一种医学图像中的噪声抑制方法,包括以下步骤:测量图像像素的梯度场强,并根据梯度场强度选择合适的噪声抑制滤波器掩模,梯度场强 与预定阈值进行比较。 当选择附加图像像素时重复该方法。 每个读入图像像素决定使用哪种类型的滤波器掩码进行滤波。 可以选择不同尺寸的滤光片或各向同性或各向异性或方向滤光片。 该决定基于相应像素的测量的梯度场强度。 使用不同的滤波器掩模允许提高信噪比,而不会像边缘这样的结构变形,而不会在同质噪声区域中产生人造结构。
    • 8. 发明授权
    • Method for operating an x-ray diagnostic apparatus for determining quality values
    • 用于操作用于确定质量值的x射线诊断装置的方法
    • US07826651B2
    • 2010-11-02
    • US12401295
    • 2009-03-10
    • Stefan BöhmPeter DurlakVolker HeerMartin Kolarjk
    • Stefan BöhmPeter DurlakVolker HeerMartin Kolarjk
    • G06K9/00
    • G06T7/0002A61B6/504A61B6/583H04N5/325Y10S128/922
    • A method for checking an x-ray diagnostic apparatus is provided. Fluoroscopic series of x-ray images of a technical phantom are digitally acquired and stored. Difference between a dynamic image and a background image is calculated. A measuring field is predicted. Priori information about the shape of a clinically relevant object is determined. Hough transformation on a gray value image corresponding to the difference is applied. Contrast of the object from the Hough-transformed gray value image is determined. A square of the determined contrast is calculated. A noise variance is calculated by determining a sum of a noise variance of a homogenous image region and a variance of the background image. A contrast-to-noise ratio of the determined contrast and the calculated noise variance is determined. A square of the contrast-to-noise ratio is dynamically averaged. A Clinical Relevant Fluoroscopy Performance index for the x-ray diagnostic apparatus is determined.
    • 提供了一种用于检查x射线诊断装置的方法。 数字获取和存储技术幻像的荧光系列X射线图像。 计算动态图像和背景图像之间的差异。 预测测量场。 确定关于临床相关对象的形状的优先信息。 应用与差异对应的灰度值图像上的霍夫变换。 确定来自霍夫变换灰度值图像的对象的对比度。 计算确定的对比度的平方。 通过确定均匀图像区域的噪声方差和背景图像的方差的和来计算噪声方差。 确定所确定的对比度和所计算的噪声方差的对比噪声比。 动态平均对比噪声比的平方。 确定X线诊断仪的临床相关荧光检查性能指标。