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Compressed Sensing in Magnetic Resonance Imaging Using Non-Randomly Under-Sampled Signal in Cartesian Coordinates

机译：在笛卡尔坐标中使用非随机底层采样信号的磁共振成像中的压缩感测

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Ryo KAZAMA; Kazuki SEKINE; Satoshi ITO;
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年度 2019
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入库时间 2022-08-20 22:26:45

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1. Compressed Sensing in Magnetic Resonance Imaging Using Non-Randomly Under-Sampled Signal in Cartesian Coordinates [J] . Ryo KAZAMA, Kazuki SEKINE, Satoshi ITO IEICE transactions on information and systems . 2019,第9期

机译：笛卡尔坐标系中使用非随机欠采样信号的磁共振成像中的压缩感知
2. Dynamic Liver Magnetic Resonance Imaging in Free-Breathing Feasibility of a Cartesian T1-Weighted Acquisition Technique With Compressed Sensing and Additional Self-Navigation Signal for Hard-Gated and Motion-Resolved Reconstruction [J] . Kaltenbach Benjamin, Bucher Andreas M., Wichmann Julian L., Investigative radiology . 2017,第11期

机译：动态肝脏磁共振成像在笛卡尔T1加权采集技术的自由呼吸可行性，采用压缩传感和额外的自动导航信号，用于硬门控和运动分辨重建
3. Deep-learning-based image quality enhancement of compressed sensing magnetic resonance imaging of vessel wall: comparison of self-supervised and unsupervised approaches [J] . Da-in Eun, Ryoungwoo Jang, Woo Seok Ha, Scientific reports. . 2020,第1期

机译：基于深度学习的图像质量增强血管壁压缩传感磁共振成像：自我监督和无监督方法比较
4. Deep-Learning-based MR Compressed Sensing using Non-randomly Under-sampled Signal in Nonlinear Phase Encoding Imaging [C] . Satoshi ITO, Shohei OUCHI Asia-Pacific Signal and Information Processing Association Annual Summit and Conference . 2020

机译：基于深度学习的MR压缩检测，在非线性相位编码成像中使用非随机底层采样信号
5. Hyperpolarized carbon-13 magnetic resonance spectroscopic imaging: Pulse sequence development for compressed sensing rapid imaging and preclinical liver studies. [D] . Hu, Simon. 2009

机译：超极化碳13磁共振波谱成像：用于压缩传感快速成像和临床前肝研究的脉冲序列开发。
6. An Augmented Lagrangian Based Compressed Sensing Reconstruction for Non-Cartesian Magnetic Resonance Imaging without Gridding and Regridding at Every Iteration [O] . Mehmet Akçakaya, Seunghoon Nam, Tamer A. Basha, -1

机译：用于非笛卡尔磁共振成像的增强拉格朗日压缩感知重建无需在每次迭代时进行网格化和网格化
7. An augmented Lagrangian based compressed sensing reconstruction for non-Cartesian magnetic resonance imaging without gridding and regridding at every iteration. [O] . Mehmet Akçakaya, Seunghoon Nam, Tamer A Basha, 2014

机译：基于增强拉格朗日的压缩感知重建，用于非笛卡尔磁共振成像，无需在每次迭代时进行网格化和重新划分。

Compressed Sensing in Magnetic Resonance Imaging Using Non-Randomly Under-Sampled Signal in Cartesian Coordinates

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