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Systems and methods for multi-label segmentation of cardiac computed tomography and angiography images using deep neural networks
Systems and methods for multi-label segmentation of cardiac computed tomography and angiography images using deep neural networks
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机译:使用深神经网络的心脏计算机断层扫描和血管造影图像多标记分割的系统和方法
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摘要
Methods and systems are provided for detecting coronary lesions in 3D cardiac computed tomography and angiography (CCTA) images using deep neural networks. In an exemplary embodiment, a method for detecting coronary lesions in 3D CCTA images comprises, acquiring a 3D CCTA image of a coronary tree, mapping the 3D CCTA image to a multi-label segmentation map with a trained deep neural network, generating a plurality of 1D parametric curves for a branch of the coronary tree using the multi-label segmentation map, determining a location of a lesion in the branch of the coronary tree using the plurality of 1D parametric curves, and determining a severity score for the lesion based on the plurality of 1D parametric curves.
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