Invention Grant
- Patent Title: Method and system for vascular disease detection using recurrent neural networks
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Application No.: US15680584Application Date: 2017-08-18
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Publication No.: US09881372B2Publication Date: 2018-01-30
- Inventor: Mehmet A. Gulsun , Yefeng Zheng , Puneet Sharma , Bogdan Georgescu , Dorin Comaniciu
- Applicant: Siemens Healthcare GmbH
- Applicant Address: DE Erlangen
- Assignee: Siemens Healthcare GmbH
- Current Assignee: Siemens Healthcare GmbH
- Current Assignee Address: DE Erlangen
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06T7/00 ; G06N3/02 ; G06T7/60 ; G06K9/46

Abstract:
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.
Public/Granted literature
- US20170372475A1 Method and System for Vascular Disease Detection Using Recurrent Neural Networks Public/Granted day:2017-12-28
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