发明授权
US07583831B2 System and method for using learned discriminative models to segment three dimensional colon image data
有权
使用学习的鉴别模型分割三维结肠图像数据的系统和方法
- 专利标题: System and method for using learned discriminative models to segment three dimensional colon image data
- 专利标题(中): 使用学习的鉴别模型分割三维结肠图像数据的系统和方法
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申请号: US11349793申请日: 2006-02-08
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公开(公告)号: US07583831B2公开(公告)日: 2009-09-01
- 发明人: Zhuowen Tu , Xiang Zhou , Dorin Comaniciu , Luca Bogoni , Adrian Barbu
- 申请人: Zhuowen Tu , Xiang Zhou , Dorin Comaniciu , Luca Bogoni , Adrian Barbu
- 申请人地址: US PA Malvern
- 专利权人: Siemens Medical Solutions USA, Inc.
- 当前专利权人: Siemens Medical Solutions USA, Inc.
- 当前专利权人地址: US PA Malvern
- 主分类号: G06K9/00
- IPC分类号: G06K9/00
摘要:
A system and method for using learned discriminative models to segment a border of an anatomical structure in a three dimensional (3D) image is disclosed. A discriminative probability model is computed for each voxel in the 3D image. Thresholding is performed on each discriminative probability model. One or more two dimensional (2D) slices of the thresholded 3D image along X-Y planes are obtained. Seed regions are selected in the 2D slices. Morphological region growing is performed on the selected seed regions. An initial 3D segmentation is obtained. Boundary evolution is performed on the initial 3D segmentation. The segmented anatomical structure is removed. in the original 3D image.
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