Method and apparatus for automatic muscle segmentation in digita

Image analysis – Applications – Biomedical applications

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378 37, 382281, G06K 900, A61B 604

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060350563

ABSTRACT:
A method and apparatus for the automatic segmentation of the pectoral muscle boundary in a digital mammogram is disclosed. Parameters of the pectoral boundary line are determined by calculating gradient magnitudes of the digital mammogram in a region of interest, accumulating the gradient magnitudes into a parameter plane according to a Hough transform, and using information in the parameter plane for identifying the pectoral boundary. Prior to being accumulated in the parameter plane, the gradient magnitudes are weighted by a monotonic, multi-bit weighting function designed to exhibit larger variations near more densely populated levels of gradient magnitudes, and designed to exhibit smaller variations near less densely populated levels of gradient magnitudes, for allowing greater robustness against variations in gradient magnitudes among different digital mammograms.

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John C. Russ, The Image Processing Handbook, Second Edition, pp. 495-498, Jan. 1995.
Zhang et al., On the Discretization of Parameter Domain in Hough Transformation, Proceedings of the 13th International Conference on Pattern Recognition, pp. 583-585, Aug. 1996.
Suckling et al., Segmentation of Mammograms Using Multiple Linked Self-Organizing Neural Networks, Medical Physics, pp. 142-152, Feb. 1995.
Pereira et al., Detection and Characterization of Microcalcifications in Mammographic Images, 38th Midwest Symposium on Circuits and Systems, pp. 1369-1372, Aug. 1985.
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Levine, Vision in Man and Machine, pp. 519-525, Jan. 1985.
Suckling et al., 1995, "Segmentation of Mammograms Using Multiple Linked Self-Organizing Neural Networks," Medical Physics 22:145-152.

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