DPIR-Net: Direct PET Image Reconstruction Based on the Wasserstein Generative Adversarial Network - Hu, Zhanli; Xue, Hengzhi; Zhang, Qiyang; Gao, Juan; Zhang, Na; Zou, Sijuan; Teng, Yueyang; Liu, Xin; Yang, Yongfeng; Liang, Dong; Zhu, Xiaohua; Zheng, Hairong (IEEE transactions on radiation and plasma medical sciences, 2021)
Keywords: Algorithms; Biomedical imaging; Comparative studies; Deep learning; Direct image reconstruction; Feature extraction; Generative adversarial networks; Image enhancement; Image processing; Image quality; Image reconstruction; Imaging techniques; Machine learning; Medical imaging; Neural networks; Noise reduction; Positron emission; Positron emission tomography; positron emission tomography (PET); Radiation; Radiation effects; Radioactive tracers; Regularization; small animal PET; Smoothness; Tomography; Wasserstein generative adversarial network (WGAN)