Bidirectional Condition Diffusion Probabilistic Models for PET Image Denoising-Reference-Cited by-同舟云学术

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Bidirectional Condition Diffusion Probabilistic Models for PET Image Denoising

Published:2024-04 Issue:4 Volume:8 Page:402-415
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,Tie Changjun²,Yang Ziyuan³^ORCID,Zhang Na⁴^ORCID,Zhang Yi¹^ORCID

Affiliation:

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

2. Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

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

4. Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 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)

Link

http://xplorestaging.ieee.org/ielx7/7433213/10488722/10401984.pdf?arnumber=10401984

Reference44 articles.

1. Kinetics-Induced Block Matching and 5-D Transform Domain Filtering for Dynamic PET Image Denoising

2. Non-local mean denoising using multiple PET reconstructions

3. Penalized Likelihood PET Image Reconstruction Using Patch-Based Edge-Preserving Regularization

4. Anatomy-guided PET reconstruction using l 1 bowsher prior

5. Low dose PET reconstruction with total variation regularization

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