发明名称 |
Segmentation Using Hybrid Discriminative Generative Label Fusion of Multiple Atlases |
摘要 |
A method for segmenting a target image includes receiving the target image of an anatomical structure, registering a plurality of atlases to the target image, each of the atlases including an image and a plurality of labels corresponding to portions of the image, selecting a plurality of registered atlases, transferring the labels of selected registered atlases to the target image, combining the labels that are transferred to the target image using a fusion of a discriminative model and a generative model, and outputting a segmentation of the target image isolating the anatomical structure, wherein a segmentation of the target image is displayed. |
申请公布号 |
US2017018089(A1) |
申请公布日期 |
2017.01.19 |
申请号 |
US201615276744 |
申请日期 |
2016.09.26 |
申请人 |
International Business Machines Corporation |
发明人 |
GARNAVI RAHIL;LIANG XI;SEDAI SUMAN |
分类号 |
G06T7/00 |
主分类号 |
G06T7/00 |
代理机构 |
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代理人 |
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主权项 |
1. A method for segmenting a target image comprising:
receiving the target image of an anatomical structure; registering a plurality of atlases to the target image, each of the atlases including an image and a plurality of labels corresponding to portions of the image;selecting a plurality of registered atlases;transferring the labels of selected registered atlases to the target image;
combining the labels that are transferred to the target image using a fusion of a discriminative model and a generative model; and outputting a segmentation of the target image isolating the anatomical structure, wherein a segmentation of the target image is displayed. |
地址 |
Armonk NY US |