发明名称 |
SYSTEM AND METHOD FOR DETECTION OF LESIONS |
摘要 |
A method for detecting a lesion in an anatomical region of interest is presented. The method includes identifying one or more candidate mass regions in each of a plurality of 3D ultrasound images acquired at different view angles from the anatomical region of interest. Single-view features corresponding to each candidate mass region are identified. For a candidate mass region, a similarity metric between the single-view features corresponding to the candidate mass region and the single-view features corresponding to the other candidate mass regions is determined. The candidate mass region is classified based at least on the similarity metric. A system for imaging and a non-transitory computer readable media for detection of the lesion are also presented. |
申请公布号 |
US2015282782(A1) |
申请公布日期 |
2015.10.08 |
申请号 |
US201414247265 |
申请日期 |
2014.04.08 |
申请人 |
General Electric Company |
发明人 |
Zhao Fei;Vaidya Vivek Prabhakar;Mullick Rakesh;Biswas Soma;Ye Chuyang |
分类号 |
A61B8/08 |
主分类号 |
A61B8/08 |
代理机构 |
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代理人 |
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主权项 |
1. A method for detecting a lesion in an anatomical region of interest, the method comprising:
receiving a plurality of three-dimensional ultrasound images corresponding to the anatomical region of interest, wherein each of the plurality of three-dimensional ultrasound images represents the anatomical region of interest from a different view angle; identifying one or more candidate mass regions in each of the plurality of three-dimensional ultrasound images; determining one or more single-view features corresponding to each of the one or more candidate mass regions in each of the plurality of three-dimensional ultrasound images; determining, for a candidate mass region of the one or more candidate mass regions in a three-dimensional ultrasound image of the plurality of three-dimensional ultrasound images, a similarity metric between the one or more single-view features corresponding to the candidate mass region and the one or more single-view features corresponding to the one or more candidate mass regions in the other three-dimensional ultrasound images of the plurality of three-dimensional ultrasound images; and classifying the candidate mass region based at least on the similarity metric. |
地址 |
Schenectady NY US |