公开(公告)号：US10445855B2

公开(公告)日：2019-10-15

申请号：US15302846

申请日：2015-04-01

申请人： ICAD, Inc. ,  Konica Minolta, Inc.

发明人： David S. Harding ,  Sridharan Kamalakanan ,  Satoshi Kasai ,  Shinsuke Katsuhara ,  James H. Pike ,  Muhammad F. Sabir ,  Jeffrey C. Wehnes

IPC分类号： G06K9/00 ,  G06T3/00 ,  A61B6/00 ,  G06T7/00 ,  G06T7/73 ,  G06T7/12 ,  G06K9/32 ,  G06K9/34 ,  G06K9/46 ,  G06T5/00

摘要： Lung segmentation and bone suppression techniques are helpful pre-processing steps prior to radiographic analyzes of the human thorax, as may occur during cancer screenings and other medical examinations. Autonomous lung segmentation may remove spurious boundary pixels from a radiographic image, as well as identify and refine lung boundaries. Thereafter, autonomous bone suppression may identify clavicle, posterior rib, and anterior rib bones using various image processing techniques, including warping and edge detection. The identified clavicle, posterior rib, and anterior rib bones may then be suppressed from the radiographic image to yield a segmented, bone suppressed radiographic image.

公开(公告)号：US20170032535A1

公开(公告)日：2017-02-02

申请号：US15302846

申请日：2015-04-01

申请人： iCAD, Inc. ,  Konica Minolta, Inc.

发明人： David S. Harding ,  Sridharan Kamalakanan ,  Satoshi Kasai ,  Shinsuke Katsuhara ,  James H. Pike ,  Muhammad F. Sabir ,  Jeffrey C. Wehnes

IPC分类号： G06T7/00 ,  G06K9/46 ,  G06K9/34 ,  G06T3/00 ,  G06K9/32

CPC分类号： G06T3/0093 ,  A61B6/5211 ,  G06K9/3233 ,  G06K9/342 ,  G06K9/4647 ,  G06K2209/051 ,  G06T5/002 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/75 ,  G06T2207/10116 ,  G06T2207/20036 ,  G06T2207/20076 ,  G06T2207/20116 ,  G06T2207/30008 ,  G06T2207/30061 ,  G06T2207/30064

摘要： Lung segmentation and bone suppression techniques are helpful pre-processing steps prior to radiographic analyses of the human thorax, as may occur during cancer screenings and other medical examinations. Autonomous lung segmentation may remove spurious boundary pixels from a radiographic image, as well as identify and refine lung boundaries. Thereafter, autonomous bone suppression may identify clavicle, posterior rib, and anterior rib bones using various image processing techniques, including warping and edge detection. The identified clavicle, posterior rib, and anterior rib bones may then be suppressed from the radiographic image to yield a segmented, bone suppressed radiographic image.

摘要翻译： 肺分割和骨抑制技术是在癌症筛查和其他体检之间可能发生的人类胸部放射照相分析之前的有用的预处理步骤。 自主肺分割可以从放射照相图像中去除伪边界像素，以及识别和改善肺边界。 此后，自主骨抑制可以使用各种图像处理技术来识别锁骨，后肋骨和前肋骨骨骼，包括翘曲和边缘检测。 然后可以从放射照相图像中抑制识别的锁骨，后肋骨和前肋骨，以产生分割的骨抑制的放射照相图像。

公开(公告)号：US10376230B2

公开(公告)日：2019-08-13

申请号：US15035743

申请日：2014-11-10

申请人： iCAD, Inc.

发明人： Jeffrey C. Wehnes ,  Arunkumar Gururajan ,  James Monaco ,  Ronald Larcom ,  James H. Pike

IPC分类号： G06T7/00 ,  A61B6/00 ,  G06T7/11

摘要： 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.