Anatomically Guided PET Image Reconstruction Using Conditional Weakly-Supervised Multi-Task Learning Integrating Self-Attention-Reference-Cited by-同舟云学术

Anatomically Guided PET Image Reconstruction Using Conditional Weakly-Supervised Multi-Task Learning Integrating Self-Attention

Published:2024-06 Issue:6 Volume:43 Page:2098-2112
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Yang Bao¹^ORCID,Gong Kuang²^ORCID,Liu Huafeng³^ORCID,Li Quanzheng²^ORCID,Zhu Wentao⁴^ORCID

Affiliation:

1. School of Biomedical Engineering, Southern Medical University, Guangzhou, China

2. Department of Radiology, Center for Advanced Medical Computing and Analysis, the Gordon Center for Medical Imaging, and the Harvard Medical School, Massachusetts General Hospital, Boston, MA, USA

3. College of Optical Science and Engineering, Zhejiang University, Hangzhou, China

4. Zhejiang Lab, Hangzhou, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/42/10547147/10409562.pdf?arnumber=10409562

Reference42 articles.

1. Total variation regulated EM algorithm [SPECT reconstruction]

2. Evaluation of Three MRI-Based Anatomical Priors for Quantitative PET Brain Imaging

3. Sparsity-constrained PET image reconstruction with learned dictionaries

4. Dictionary Learning Constrained Direct Parametric Estimation in Dynamic Myocardial Perfusion PET

5. PET Image Reconstruction Using Kernel Method

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