Keywords:
In order to effectively reduce the risk of radiation exposure, low-dose CT using fewer projection views is becoming more and more preferred recently although it suffers significantly from poor image quality. The deep learning approach has demonstrated its effectiveness in natural image field. However, its application in medical imaging is still lacking. In this paper, we present a novel deep residual network structure to remove lowdose CT streak artifacts. Experiments using real patient clinical data were conducted to prove its superior performance.
- Heyi Li
- Stony Brook University, USA
- Klaus Mueller
- Stony Brook University, USA
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