Fully Convolutional Pyramidal Residual Network for Material Discrimination of Spectral CT

Fully Convolutional Pyramidal Residual Network for Material Discrimination of Spectral CT

The spectral computed tomography (CT) based on photon-counting detector performs energy-dependent image reconstruction of material attenuation coefficients, allowing for effective medical diagnosis and material discrimination. However, the spectral CT image quality is degraded in narrow energy bins...

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Bibliographic Details
Main Authors: Zourong Long, Peng He, Xiaochuan Wu, Xiaodong Guo, Xuezhi Ren, Mianyi Chen, Jingxuan Gao, Biao Wei, Wenxiang Cong, Peng Feng
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Biomedical computing
artificial neural networks
multispectral imaging
image segmentation
Online Access:https://ieeexplore.ieee.org/document/8903314/

Internet

https://ieeexplore.ieee.org/document/8903314/

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