发明授权
- 专利标题: Method and system for vascular disease detection using recurrent neural networks
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申请号: US15429806申请日: 2017-02-10
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公开(公告)号: US09767557B1公开(公告)日: 2017-09-19
- 发明人: Mehmet A. Gulsun , Yefeng Zheng , Puneet Sharma , Bogdan Georgescu , Dorin Comaniciu
- 申请人: Siemens Healthcare GmbH
- 申请人地址: DE Erlangen
- 专利权人: Siemens Healthcare GmbH
- 当前专利权人: Siemens Healthcare GmbH
- 当前专利权人地址: DE Erlangen
- 主分类号: G06K9/00
- IPC分类号: G06K9/00 ; G06T7/00 ; G06K9/46 ; G06T7/60 ; G06N3/02
摘要:
A method and apparatus for vascular disease detection and characterization using a recurrent neural network (RNN) is disclosed. A plurality of 2D cross-section image patches are extracted from a 3D computed tomography angiography (CTA) image, each extracted at a respective sampling point along a vessel centerline of a vessel of interest in the 3D CTA image. Vascular abnormalities in the vessel of interest are detected and characterized by classifying each of the sampling points along the vessel centerline based on the plurality of 2D cross-section image patches using a trained RNN.
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