Single‐shot T 2 mapping using overlapping‐echo detachment planar imaging and a deep convolutional neural network-Reference-Cited by-同舟云学术

Single‐shot T 2 mapping using overlapping‐echo detachment planar imaging and a deep convolutional neural network

Published:2018-04-24 Issue:5 Volume:80 Page:2202-2214
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn Reson Med

Author:

Cai Congbo¹²,Wang Chao²,Zeng Yiqing²,Cai Shuhui¹,Liang Dong³,Wu Yawen²,Chen Zhong¹,Ding Xinghao²,Zhong Jianhui⁴⁵

Affiliation:

1. Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic ResonanceXiamen UniversityXiamen China

2. Department of Communication EngineeringXiamen UniversityXiamen China

3. Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, CASShenzhen China

4. Department of Imaging SciencesUniversity of RochesterRochester New York

5. The Center for Brain Imaging Science and Technology and Collaborative Innovation Center for Diagnosis and Treatment of Infectious DiseasesZhejiang UniversityHangzhou China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.27205

Reference46 articles.

1. Magnetic resonance fingerprinting

2. Practical medical applications of quantitative MR relaxometry

3. Model-Based MR Parameter Mapping With Sparsity Constraints: Parameter Estimation and Performance Bounds

4. Accelerated and motion‐robust in vivo T 2 mapping from radially undersampled data using bloch‐simulation‐based iterative reconstruction

5. A single-shot T2 mapping protocol based on echo-split gradient-spin-echo acquisition and parametric multiplexed sensitivity encoding based on projection onto convex sets reconstruction

Cited by 66 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. Improved quantitative parameter estimation for prostate T2 relaxometry using convolutional neural networks;Magnetic Resonance Materials in Physics, Biology and Medicine;2024-07-23

2. Fast multi-compartment Microstructure Fingerprinting in brain white matter;Frontiers in Neuroscience;2024-07-19

3. Highly accelerated parameter mapping using model-based alternating reconstruction coupling fitting;Physics in Medicine & Biology;2024-07-11

4. FlexDTI: flexible diffusion gradient encoding scheme-based highly efficient diffusion tensor imaging using deep learning;Physics in Medicine & Biology;2024-05-20

5. Knowledge‐driven deep learning for fast MR imaging: Undersampled MR image reconstruction from supervised to un‐supervised learning;Magnetic Resonance in Medicine;2024-04-16