Iterative Low-Dose CT Reconstruction With Priors Trained by Artificial Neural Network
IEEE Transactions on Medical Imaging(2017)
摘要
Dose reduction in computed tomography (CT) is essential for decreasing radiation risk in clinical applications. Iterative reconstruction algorithms are one of the most promising way to compensate for the increased noise due to reduction of photon flux. Most iterative reconstruction algorithms incorporate manually designed prior functions of the reconstructed image to suppress noises while maintain...
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关键词
Image reconstruction,Computed tomography,Manifolds,Neural networks,Reconstruction algorithms,Decoding,Optimization
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