Bioengineering (Basel, Switzerland)
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Bioengineering (Basel) · Dec 2019
Deep Encoder-Decoder Adversarial Reconstruction(DEAR) Network for 3D CT from Few-View Data.
X-ray computed tomography (CT) is widely used in clinical practice. The involved ionizingX-ray radiation, however, could increase cancer risk. Hence, the reduction of the radiation dosehas been an important topic in recent years. ⋯ More specifically, our proposed DEAR-3D network aims at reconstructing3D volume directly from clinical 3D spiral cone-beam image data. DEAR is validated on a publiclyavailable abdominal CT dataset prepared and authorized by Mayo Clinic. Compared with other2D deep learning methods, the proposed DEAR-3D network can utilize 3D information to producepromising reconstruction results.