Automated method and system for the segmentation of medical imag

Image analysis – Applications – Biomedical applications

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382171, G06F15900

Patent

active

054523672

ABSTRACT:
A method for the automated segmentation of medical images, including generating image data from radiographic images of the breast. The method is applicable to breast mammograms including the extraction of the skinline as well as correction for non-uniform exposure conditions, hand radiographs, and chest radiographs. Techniques for the segmentation include noise filtering, local gray value range determination, modified global histogram analysis, region growing and determination of object contour. The method also is applicable to skin detection and analysis of skin thickening in medical images, where image segmentation, local optimization of external skinline, creation of a gradient image, identification of the internal skinline and then skin thickness determination are carried out. The method for enhancement of medical images includes, after image segmentation and identification of the skinline, calculation of pixel distances from the skinline, determination of the enhancement parameter fit and then selective enhancement of the periphery.

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Fang-Fang Yin et al., "Comparison of Bilateral-Subtraction and Single-Image Processing Techniques in the Computerized Detection of Mammographic Masses", Investigative Radiology, vol. 28, No. 6, pp. 473-481, Jun. 1993.

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