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Unsupervised Bayesian PET Reconstruction

  • Published:2023-02 Issue:2 Volume:7 Page:175-190
  • ISSN:2469-7311
  • Container-title:IEEE Transactions on Radiation and Plasma Medical Sciences
  • language:
  • Short-container-title:IEEE Trans. Radiat. Plasma Med. Sci.

Author:

Shen Chenyu1,Xia Wenjun1ORCID,Ye Hongwei2,Hou Mingzheng1,Chen Hu1ORCID,Liu Yan3ORCID,Zhou Jiliu1,Zhang Yi4ORCID

Affiliation:

1. College of Computer Science, Sichuan University, Chengdu, China

2. Research and Development Division, MinFound Medical Systems Company Ltd., Hangzhou, China

3. College of Electrical Engineering, Sichuan University, Chengdu, China

4. School of Cyber Science and Engineering, Sichuan University, Chengdu, China

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

Sichuan University “From 0 to 1” Innovative Research Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Atomic and Molecular Physics, and Optics

Reference65 articles.

1. PET Image Reconstruction Using Kernel Method

2. Stochastic gradient hamiltonian Monte Carlo;chen;Proc Int Conf Mach Learn,2014

3. Image reconstruction for positron emission tomography based on patch‐based regularization and dictionary learning

4. Bayesian posterior sampling via stochastic gradient fisher scoring;ahn;Proc Int Conf Mach Learn,2012

5. PET image reconstruction with anatomical edge guided level set prior

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning-based PET image denoising and reconstruction: a review;Radiological Physics and Technology;2024-02-06

2. AI for PET image reconstruction;The British Journal of Radiology;2023-10

3. Enhanced PET imaging using progressive conditional deep image prior;Physics in Medicine & Biology;2023-09-01

4. DULDA: Dual-Domain Unsupervised Learned Descent Algorithm for PET Image Reconstruction;Lecture Notes in Computer Science;2023
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