Active CT Reconstruction with a Learned Sampling Policy

Author:

Wang Ce1ORCID,Shang Kun2ORCID,Zhang Haimiao3ORCID,Zhao Shang4ORCID,Liang Dong2ORCID,Zhou S Kevin5ORCID

Affiliation:

1. Institute of Computing Techonology, CAS & Suzhou Institute of Intelligent Computing Technology, CAS, Beijing, China

2. Shenzhen Institute of Advanced Technology, CAS, Shenzhen, Guangdong, China

3. Beijing Information Science and Technology University, Beijing, China

4. School of Biomedical Engineering, Division of Life Sciences, USTC & Suzhou Institute for Advanced Techonology, USTC, Heifei, Anhui &Suzhou, Jiangsu, China

5. School of Biomedical Engineering, Division of Life Sciences, USTC & Suzhou Institute for Advanced Research, USTC, Heifei, Anhui &Suzhou, Jiangsu, China

Funder

Natural Science Foundation of Jiangsu Province

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

ACM

Reference43 articles.

1. Learned Primal-Dual Reconstruction

2. Adler , Jonas and Kohr Holger and Öktem , Ozan. 2017 . Operator discretization library (ODL). Software available from https://github.com/odlgroup/odl. Adler, Jonas and Kohr Holger and Öktem, Ozan. 2017. Operator discretization library (ODL). Software available from https://github.com/odlgroup/odl.

3. Martin Arjovsky , Soumith Chintala , and Léon Bottou . 2017 . Wasserstein generative adversarial networks . In International conference on machine learning. PMLR, 214--223 . Martin Arjovsky, Soumith Chintala, and Léon Bottou. 2017. Wasserstein generative adversarial networks. In International conference on machine learning. PMLR, 214--223.

4. Hu Chen , Yi Zhang , Yunjin Chen , Junfeng Zhang , Weihua Zhang , Huaiqiang Sun , Yang Lv , Peixi Liao , Jiliu Zhou , and Ge Wang . 2018 . LEARN: Learned experts' assessment-based reconstruction network for sparse-data CT . IEEE transactions on medical imaging, Vol. 37 , 6 (2018), 1333--1347. Hu Chen, Yi Zhang, Yunjin Chen, Junfeng Zhang, Weihua Zhang, Huaiqiang Sun, Yang Lv, Peixi Liao, Jiliu Zhou, and Ge Wang. 2018. LEARN: Learned experts' assessment-based reconstruction network for sparse-data CT. IEEE transactions on medical imaging, Vol. 37, 6 (2018), 1333--1347.

5. Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network

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