发明申请
US20050171409A1 Automated method and system for the detection of lung nodules in low-dose CT image for lung-cancer screening
有权
用于肺癌筛查的低剂量CT图像中肺结节检测的自动化方法和系统
- 专利标题: Automated method and system for the detection of lung nodules in low-dose CT image for lung-cancer screening
- 专利标题(中): 用于肺癌筛查的低剂量CT图像中肺结节检测的自动化方法和系统
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申请号: US10767342申请日: 2004-01-30
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公开(公告)号: US20050171409A1公开(公告)日: 2005-08-04
- 发明人: Hidetaka Arimura , Feng Li , Junji Shiraishi , Kunio Doi
- 申请人: Hidetaka Arimura , Feng Li , Junji Shiraishi , Kunio Doi
- 申请人地址: US IL Chicago
- 专利权人: University of Chicago
- 当前专利权人: University of Chicago
- 当前专利权人地址: US IL Chicago
- 主分类号: G06T7/00
- IPC分类号: G06T7/00 ; G21K1/12 ; H05G1/60
摘要:
A method, system, and computer program product for detecting at least one nodule in a medical image of a subject, including identifying, in the medical image, an anatomical region corresponding to at least a portion of an organ of interest; filtering the medical image to obtain a difference image; detecting, in the difference image, a first plurality of nodule candidates within the anatomical region; calculating respective nodule feature values of the first plurality of nodule candidates based on pixel values of at least one of the medical image and the difference image; removing false positive nodule candidates from the first plurality of nodule candidates based on the respective nodule feature values to obtain a second plurality of nodule candidates; and determining the at least one nodule by classifying each of the second plurality of nodule candidates as a nodule or a non-nodule based on at least one of the pixel values and the respective nodule feature values. True-positive nodules are identified using linear discriminant analysis and/or a Multi-MTANN.
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