Dynamic MRI reconstruction using low-rank and 3D sparsifying transform with separation of background and dynamic components

2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) ◽

10.1109/iaeac.2017.8054487 ◽

2017 ◽

Author(s):

Changfeng Xi ◽

Jinxu Tao ◽

Bensheng Qiu ◽

Zhongfu Ye ◽

Xu Xu ◽

...

Keyword(s):

Dynamic Mri ◽

Low Rank ◽

Mri Reconstruction ◽

Dynamic Components

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Low-rank plus sparse matrix decomposition for accelerated dynamic MRI with separation of background and dynamic components

Magnetic Resonance in Medicine ◽

10.1002/mrm.25240 ◽

2014 ◽

Vol 73 (3) ◽

pp. 1125-1136 ◽

Author(s):

Ricardo Otazo ◽

Emmanuel Candès ◽

Daniel K. Sodickson

Keyword(s):

Sparse Matrix ◽

Matrix Decomposition ◽

Dynamic Mri ◽

Low Rank ◽

Dynamic Components

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Non-convex algorithm for sparse and low-rank recovery: Application to dynamic MRI reconstruction

Magnetic Resonance Imaging ◽

10.1016/j.mri.2012.08.011 ◽

2013 ◽

Vol 31 (3) ◽

pp. 448-455 ◽

Author(s):

Angshul Majumdar ◽

Rabab K. Ward ◽

Tyseer Aboulnasr

Keyword(s):

Dynamic Mri ◽

Low Rank ◽

Mri Reconstruction

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Dynamic MRI reconstruction using nonlocal low-rank constraints based on the deformation corrected signal

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) ◽

10.1109/icsess.2017.8342850 ◽

2017 ◽

Author(s):

Mei Sun ◽

Jinxu Tao ◽

Zhongfu Ye ◽

Bensheng Qiu ◽

Jinzhang Xu

Keyword(s):

Dynamic Mri ◽

Low Rank ◽

Mri Reconstruction ◽

Rank Constraints

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Fast SVD free low-rank matrix recovery: Application to dynamic MRI reconstruction

2014 International Conference on Medical Imaging, m-Health and Emerging Communication Systems (MedCom) ◽

10.1109/medcom.2014.7005569 ◽

2014 ◽

Author(s):

Angshul Majumdar ◽

Rabab Ward

Keyword(s):

Dynamic Mri ◽

Low Rank ◽

Matrix Recovery ◽

Rank Matrix ◽

Mri Reconstruction ◽

Low Rank Matrix Recovery ◽

Low Rank Matrix

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Patch-based nonlocal dynamic MRI reconstruction with low-rank prior

2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP) ◽

10.1109/mmsp.2015.7340840 ◽

2015 ◽

Author(s):

Liyan Sun ◽

Jinchu Chen ◽

Xiao-Ping Zhang ◽

Xinghao Ding

Keyword(s):

Dynamic Mri ◽

Low Rank ◽

Mri Reconstruction

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Learning the sparsity basis in low-rank plus sparse model for dynamic MRI reconstruction

2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ◽

10.1109/icassp.2015.7178075 ◽

2015 ◽

Author(s):

Angshul Majumdar ◽

Rabab K. Ward

Keyword(s):

Dynamic Mri ◽

Low Rank ◽

Sparse Model ◽

Mri Reconstruction

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Motion compensated dynamic MRI reconstruction exploiting sparsity and low rank structure

2016 IEEE 13th International Conference on Signal Processing (ICSP) ◽

10.1109/icsp.2016.7877788 ◽

2016 ◽

Author(s):

Ru Jia ◽

Huiqian Du

Keyword(s):

Dynamic Mri ◽

Low Rank ◽

Mri Reconstruction

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Dynamic MRI reconstruction using low rank plus sparse tensor decomposition

2016 IEEE International Conference on Image Processing (ICIP) ◽

10.1109/icip.2016.7532662 ◽

2016 ◽

Author(s):

Shahrooz Faghih Roohi ◽

Dornoosh Zonoobi ◽

Ashraf A. Kassim ◽

Jacob L. Jaremko

Keyword(s):

Dynamic Mri ◽

Tensor Decomposition ◽

Low Rank ◽

Mri Reconstruction

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Improving synthesis and analysis prior blind compressed sensing with low-rank constraints for dynamic MRI reconstruction

Magnetic Resonance Imaging ◽

10.1016/j.mri.2014.08.031 ◽

2015 ◽

Vol 33 (1) ◽

pp. 174-179 ◽

Author(s):

Angshul Majumdar

Keyword(s):

Compressed Sensing ◽

Dynamic Mri ◽

Low Rank ◽

Mri Reconstruction ◽

Rank Constraints

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Low-rank + sparse (L+S) reconstruction for accelerated dynamic MRI with seperation of background and dynamic components

10.1117/12.2023359 ◽

2013 ◽

Author(s):

Ricardo Otazo ◽

Daniel K. Sodickson ◽

Emmanuel J. Candès

Keyword(s):

Dynamic Mri ◽

Low Rank ◽

Dynamic Components

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