Downsampled Imaging Geometric Modeling for Accurate CT Reconstruction via Deep Learning

IEEE Transactions on Medical Imaging(2021)

Cited 4|Views23
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Abstract
X-ray computed tomography (CT) is widely used clinically to diagnose a variety of diseases by reconstructing the tomographic images of a living subject using penetrating X-rays. For accurate CT image reconstruction, a precise imaging geometric model for the radiation attenuation process is usually required to solve the inversion problem of CT scanning, which encodes the subject into a set of inter...
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Key words
Computed tomography,Image reconstruction,Imaging,Computational modeling,Detectors,Neural networks,Data models
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