Deep-Learning-Based Separation of a Mixture of Dual-Tracer Single-Acquisition PET Signals With Equal Half-Lives: A Simulation Study-Reference-Cited by-同舟云学术

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Deep-Learning-Based Separation of a Mixture of Dual-Tracer Single-Acquisition PET Signals With Equal Half-Lives: A Simulation Study

Published:2019-11 Issue:6 Volume:3 Page:649-659
ISSN:2469-7311
Container-title:IEEE Transactions on Radiation and Plasma Medical Sciences
language:
Short-container-title:IEEE Trans. Radiat. Plasma Med. Sci.

Author:

Xu Jinmin^ORCID,Liu Huafeng^ORCID

Funder

National Natural Science Foundation of China

National Key Technology Research and Development Program of China

Shenzhen Innovation Funding

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/7433213/8876808/08633437.pdf?arnumber=8633437

Cited by 18 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. Temporal Image Sequence Separation in Dual-Tracer Dynamic PET With an Invertible Network;IEEE Transactions on Radiation and Plasma Medical Sciences;2024-09

2. Kinetic model-informed deep learning for multiplexed PET image separation;EJNMMI Physics;2024-07-01

3. Signal separation of simultaneous dual-tracer PET imaging based on global spatial information and channel attention;EJNMMI Physics;2024-05-29

4. Deep learned triple-tracer multiplexed PET myocardial image separation;Frontiers in Nuclear Medicine;2024-04-11

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

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