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Joint reconstruction of simultaneously acquired MR-PET data with multi sensor compressed sensing based on a joint sparsity constraint

机译：基于联合稀疏约束的多传感器压缩感测联合重建同时采集的MR-PET数据

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Florian Knoll; Thomas Koesters; Ricardo Otazo; Tobias Block; Li Feng; Kathleen Vunckx; David Faul; Johan Nuyts; Fernando Boada; Daniel K Sodickson;
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1. Joint reconstruction of simultaneously acquired MR-PET data with multi sensor compressed sensing based on a joint sparsity constraint [J] . Florian Knoll, Thomas Koesters, Ricardo Otazo, EJNMMI Physics . 2014,第S1期

机译：基于联合稀疏约束的多传感器压缩感测联合重建同时采集的MR-PET数据
2. Simultaneous use of individual and joint regularization terms in compressive sensing: Joint reconstruction of multi-channel multi-contrast MRI acquisitions [J] . Kopanoglu Emre, Gungor Alper, Kilic Toygan, NMR in biomedicine . 2020,第4期

机译：同时使用个人和联合正则化术语压缩传感：多通道多对错MRI采集的联合重建
3. Joint Sparse Basement Based on Compressed Sensing in Multi-parameter Wireless Sensor Network [J] . Guiling Sun, Jie Zuo, Jingfei He, Journal of information and computational science . 2014,第7期

机译：多参数无线传感器网络中基于压缩感知的联合稀疏地下室
4. Sparse filter correlation model based joint reconstruction in distributed compressive video sensing [C] . 2nd IEEE International Conference on Network Infrastructure and Digital Content . 2010

机译：分布式压缩视频传感中基于稀疏滤波器相关模型的联合重建
5. Joint Spatial-angular Sparse Coding, Compressed Sensing, and Dictionary Learning for Diffusion MRI [D] . Schwab, Evan. 2018

机译：扩散MRI的联合空间角稀疏编码，压缩感测和字典学习
6. Joint reconstruction of simultaneously acquired MR-PET data with multi sensor compressed sensing based on a joint sparsity constraint [O] . Florian Knoll, Thomas Koesters, Ricardo Otazo, 2014

机译：基于联合稀疏约束的多传感器压缩感测联合重建同时采集的MR-PET数据
7. A Data-Gathering Scheme with Joint Routing and Compressive Sensing Based on Modified Diffusion Wavelets in Wireless Sensor Networks [O] . Xiangping Gu, Xiaofeng Zhou, Yanjing Sun 2018

机译：基于无线传感器网络中修改的扩散小波的联合路由和压缩检测的数据收集方案
8. Spatial Compressive Sensing for Strain Data Reconstruction from Sparse Sensors. [R] . Haile, A. M. 2014

机译：稀疏传感器应变数据重建的空间压缩感知。

Joint reconstruction of simultaneously acquired MR-PET data with multi sensor compressed sensing based on a joint sparsity constraint

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