公开(公告)号：US20160256126A1

公开(公告)日：2016-09-08

申请号：US15035743

申请日：2014-11-10

Applicant: Jeffery C. Wehnes ,  Arunkumar Gururajan ,  James Monaco ,  Ronald Larcom ,  James H. Pike

Inventor： Jeffery C. Wehnes ,  Arunkumar Gururajan ,  James Monaco ,  Ronald Larcom ,  James H. Pike

IPC: A61B6/00 ,  G06T7/00

CPC classification number: A61B6/5217 ,  A61B6/502 ,  G06T7/0012 ,  G06T7/11 ,  G06T2207/10004 ,  G06T2207/10116 ,  G06T2207/30068

Abstract: Breast density measurements are used to perform Breast Imaging Reporting and Data System (BI-RADS) classification during breast cancer screenings. The accuracy of breast density measurements can be improved by quantitatively processing digital mammographic images. For example, breast segmentation may be performed on a mammographic image to isolate the breast tissue from the background and pectoralis tissue, while a breast thickness adjustment may be performed to compensate for decreased tissue thickness near the skin line of the breast. In some instances, BI-RADS density categorization may consider the degree to which dense tissue is dispersed throughout the breast. A breast density dispersion parameter can also be obtained using quantitative techniques, thereby providing objective BI-RADS classifications that are less susceptible to human error.

Abstract translation: 在乳腺癌筛查期间，乳房密度测量用于进行乳腺成像报告和数据系统（BI-RADS）分类。 可以通过定量处理数字乳房X线照相图像来提高乳房密度测量的准确性。 例如，可以对乳房X线照相图像进行乳房分割，以将乳房组织与背景和胸大肌组织隔离，同时可进行乳房厚度调整以补偿乳房皮肤附近的组织厚度减小。 在某些情况下，BI-RADS密度分类可以考虑致密组织分布在整个乳腺中的程度。 也可以使用定量技术获得乳房密度分散参数，从而提供对人为错误较不敏感的客观BI-RADS分类。