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首页> 外文期刊>Journal of Digital Imaging >Radon-Domain Detection of the Nipple and the Pectoral Muscle in Mammograms
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Radon-Domain Detection of the Nipple and the Pectoral Muscle in Mammograms

机译：乳房X光检查中乳头和胸肌的on域检测

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摘要

In this paper, methods are presented for automatic detection of the nipple and the pectoral muscle edge in mammograms via image processing in the Radon domain. Radon-domain information was used for the detection of straight-line candidates with high gradient. The longest straight-line candidate was used to identify the pectoral muscle edge. The nipple was detected as the convergence point of breast tissue components, indicated by the largest response in the Radon domain. Percentages of false-positive (FP) and false-negative (FN) areas were determined by comparing the areas of the pectoral muscle regions delimited manually by a radiologist and by the proposed method applied to 540 mediolateral-oblique (MLO) mammographic images. The average FP and FN were 8.99% and 9.13%, respectively. In the detection of the nipple, an average error of 7.4 mm was obtained with reference to the nipple as identified by a radiologist on 1,080 mammographic images (540 MLO and 540 craniocaudal views).
机译：在本文中，提出了通过Radon域中的图像处理自动检测乳房X线照片中的乳头和胸肌边缘的方法。 on域信息用于检测具有高梯度的直线候选。最长的直线候选者用于识别胸肌边缘。乳头被检测为乳房组织成分的收敛点，这在Radon域中响应最大。假阳性（FP）和假阴性（FN）区域的百分比是通过比较由放射科医生手动划定的胸肌区域的面积，并通过拟议的方法将其应用于540个对侧斜向（MLO）乳房X线照片来确定的。 FP和FN的平均分别为8.99％和9.13％。在检查乳头时，参照放射线学家在1,080幅乳腺X线照片（540 MLO和540个颅尾视图）上识别出的乳头，平均误差为7.4 mm。

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  • 来源
    《Journal of Digital Imaging》 |2008年第1期|37-49|共13页
  • 作者

    S. K. Kinoshita; P. M. Azevedo-Marques; R. R. Pereira Jr; J. A. H. Rodrigues; R. M. Rangayyan;

  • 作者单位

    Image Science and Medical Physics Center Internal Medicine Department Faculty of Medicine of Ribeirão Preto University of São Paulo Avenida dos Bandeirantes 3900 14048-900 Ribeirão Preto São Paulo Brazil;

    Image Science and Medical Physics Center Internal Medicine Department Faculty of Medicine of Ribeirão Preto University of São Paulo Avenida dos Bandeirantes 3900 14048-900 Ribeirão Preto São Paulo Brazil;

    Image Science and Medical Physics Center Internal Medicine Department Faculty of Medicine of Ribeirão Preto University of São Paulo Avenida dos Bandeirantes 3900 14048-900 Ribeirão Preto São Paulo Brazil;

    Image Science and Medical Physics Center Internal Medicine Department Faculty of Medicine of Ribeirão Preto University of São Paulo Avenida dos Bandeirantes 3900 14048-900 Ribeirão Preto São Paulo Brazil;

    Department of Electrical and Computer Engineering Schulich School of Engineering and Department of Radiology University of Calgary Calgary Alberta T2N 1N4 Canada;

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  • 正文语种 eng
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  • 关键词

    Digital mammography; nipple detection; pectoral muscle detection; radon transform; image processing;

    机译：数字化乳腺摄影;乳头检测;胸肌检测;rad变换;图像处理;

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