发明授权
- 专利标题: System and method for automated segmentation, characterization, and classification of possibly malignant lesions and stratification of malignant tumors
- 专利标题(中): 用于自动分割,表征和分类可能的恶性病变和恶性肿瘤分层的系统和方法
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申请号: US12867349申请日: 2009-02-19
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公开(公告)号: US08774479B2公开(公告)日: 2014-07-08
- 发明人: Anant Madabhushi , Shannon Agner , Mark Rosen
- 申请人: Anant Madabhushi , Shannon Agner , Mark Rosen
- 申请人地址: US PA Philadelphia US NJ New Brunswick
- 专利权人: The Trustees of the University of Pennsylvania,Rutgers, The State University of New Jersey
- 当前专利权人: The Trustees of the University of Pennsylvania,Rutgers, The State University of New Jersey
- 当前专利权人地址: US PA Philadelphia US NJ New Brunswick
- 代理机构: RatnerPrestia
- 国际申请: PCT/US2009/034505 WO 20090219
- 国际公布: WO2009/105530 WO 20090827
- 主分类号: G06K9/00
- IPC分类号: G06K9/00
摘要:
A method and apparatus for classifying possibly malignant lesions from sets of DCE-MRI images includes receiving a set of MRI slice images obtained at respectively different times, where each slice image includes voxels representative of at least one region of interest (ROI). The images are processed to determine the boundaries of the ROIs and the voxels within the identified boundaries in corresponding regions of the images from each time period are processed to extract kinetic texture features. The kinetic texture features are then used in a classification process which classifies the ROIs as malignant or benign. The malignant lesions are further classified to separate TN lesions from non-TN lesions.
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