High-Resolution Reconstruction of FMT Based on Elastic Net Optimized by Relaxed ADMM-Reference-Cited by-同舟云学术

High-Resolution Reconstruction of FMT Based on Elastic Net Optimized by Relaxed ADMM

Published:2023-01 Issue:1 Volume:70 Page:296-306
ISSN:0018-9294
Container-title:IEEE Transactions on Biomedical Engineering
language:
Short-container-title:IEEE Trans. Biomed. Eng.

Author:

Yan Daxiang¹,An Yu²^ORCID,Li Guanghui¹,Li Jiaqian¹,Du Yang³,Tian Jie⁴^ORCID

Affiliation:

1. Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University, China

2. Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Engineering Medicine, Beihang University, Beijing, China

3. CAS Key Laboratory of Molecular Imaging, Beijing Key Laboratory of Molecular Imaging, the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

4. Beijing Advanced Innovation Center for Big Data Based Precision Medicine, School of Engineering Medicine, Beihang University, Beijing, China

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering

Link

http://xplorestaging.ieee.org/ielx7/10/9998557/09826895.pdf?arnumber=9826895

Reference36 articles.

1. Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation

2. High-Resolution Fluorescence Diffuse Optical Tomography Developed with Nonlinear Upconverting Nanoparticles

3. Adaptive finite element methods for the solution of inverse problems in optical tomography

4. Intraoperative Identification of Liver Cancer Microfoci Using a Targeted Near-Infrared Fluorescent Probe for Imaging-Guided Surgery

5. FMT-XCT: in vivo animal studies with hybrid fluorescence molecular tomography–X-ray computed tomography

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