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US 2004/0175034 A1Published application
Method for segmentation of digital images
OwnerRafael Wiemker, Vladimir Pekarinventors
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OwnerRafael Wiemker, Vladimir Pekarinventors
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The invention relates to a computationally efficient method for the automated detection of intensity transitions in 2D or 3D image data. Contrasting boundaries in the image are indicated as global or local maxima of a gradient integral function, which is calculated by applying a Laplace operator to the intensity values of each pixel or voxel of the image data set. Only one pass through the image data set is required if the gradient integral function is computed by means of a cumulative histogram technique. The detected intensity thresholds can advantageously be employed for the specification of rendering parameters for visualization purposes. The method of the invention is also well-suited for the rendering and measurement of lung nodules, as the detection of correct intensity thresholds turns out to be crucial for the reproducible and consistent interpretation of medical image data.
Method for processing of digital images, wherein an automated segmentation is performed by determination of intensity threshold values, which separate at least one image object from the surrounding background of a digital image, said intensity threshold values being determined by evaluation of a gradient integral function, characterized in that said gradient integral is computed as a function of threshold intensity by the steps of:
Method for rendering of a pre-defined region of interest of a volume image data set on a two-dimensional display, wherein a transfer function is employed which assigns visualization properties to image intensity values, characterized in that said transfer function is automatically generated such that it assigns different visualization properties to those voxels of said volume image data set which are separated by an intensity threshold value being computed in accordance with the method of claim S.
Dependencies are inferred from the claim text.