发明名称 |
Medical image segmentation |
摘要 |
A segmentation method comprises clustering spatial, intensity and volumetric shape index to automatically segment a medical lesion. The algorithm has the following steps: (1) calculating volumetric shape index (SI) for each voxel in the image; (2) combining the SI features with the intensity range and the spatial position (x, y, z) to form a 5-dimensional feature vector set; (3) grouping the 5-dimensional feature vector set into clusters; (4) employing a modified expectation-maximization algorithm (EM) considering not only spatial but also shape features on an intensity mode map from the clustering algorithm to merge the neighbouring regions or modes. The joint spatial-intensity-shape feature provides rich information for the segmentation of the anatomic structures of interest, such as lesions or tumours. |
申请公布号 |
US8675931(B2) |
申请公布日期 |
2014.03.18 |
申请号 |
US200913002490 |
申请日期 |
2009.07.02 |
申请人 |
YE XUJIONG;SLABAUGH GREGORY GIBRAN;BEDDOE GARETH RICHARD;LIN XINYU;DOUIRI ABDEL;SAMSUNG ELECTRONICS CO., LTD. |
发明人 |
YE XUJIONG;SLABAUGH GREGORY GIBRAN;BEDDOE GARETH RICHARD;LIN XINYU;DOUIRI ABDEL |
分类号 |
G06K9/00 |
主分类号 |
G06K9/00 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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