A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising With Neural Network Approaches-Reference-Cited by-同舟云学术

A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising With Neural Network Approaches

Published:2024-04 Issue:4 Volume:8 Page:333-347
ISSN:2469-7311
Container-title:IEEE Transactions on Radiation and Plasma Medical Sciences
language:
Short-container-title:IEEE Trans. Radiat. Plasma Med. Sci.

Author:

Bousse Alexandre¹^ORCID,Kandarpa Venkata Sai Sundar¹^ORCID,Shi Kuangyu²^ORCID,Gong Kuang³^ORCID,Lee Jae Sung⁴^ORCID,Liu Chi⁵^ORCID,Visvikis Dimitris¹

Affiliation:

1. Univ. Brest, LATIM, INSERM UMR 1101, Brest, France

2. Department of Nuclear Medicine, Inselspital, Lab for Artificial Intelligence and Translational Theranostics, University of Bern, Bern, Switzerland

3. Center for Advanced Medical Computing and Analysis, Massachusetts General Hospital/Harvard Medical School, Boston, MA, USA

4. Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, South Korea

5. Department of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA

Funder

French National Research Agency

National Institutes of Health

Germaine de Stael Program and the Swiss National Science Foundation3

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7433213/10488722/10379513.pdf?arnumber=10379513

Reference145 articles.

1. Radiation dose management in CT, SPECT/CT and PET/CT techniques

2. Strategies for radiation dose reduction in nuclear cardiology and cardiac computed tomography imaging: A report from the European association of cardiovascular imaging (EACVI), the cardiovascular committee of European association of nuclear medicine (EANM), and the European society of cardiovascular radiology (ESCR);Gimelli,2018

3. Scintillation Camera

4. The Mathematics of Computerized Tomography

5. Maximum Likelihood Reconstruction for Emission Tomography

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