scholarly journals Nonrigid groupwise registration for motion estimation and compensation in compressed sensing reconstruction of breath-hold cardiac cine MRI

2015 ◽  
Vol 75 (4) ◽  
pp. 1525-1536 ◽  
Author(s):  
Javier Royuela-del-Val ◽  
Lucilio Cordero-Grande ◽  
Federico Simmross-Wattenberg ◽  
Marcos Martín-Fernández ◽  
Carlos Alberola-López
Keyword(s):  
Compressed Sensing ◽  
Motion Estimation ◽  
Cine Mri ◽  
Breath Hold ◽  
Cardiac Cine ◽  
Groupwise Registration

scholarly journals Comparison of Total Variation with a Motion Estimation Based Compressed Sensing Approach for Self-Gated Cardiac Cine MRI in Small Animal Studies

PLoS ONE ◽  
2014 ◽  
Vol 9 (10) ◽  
pp. e110594 ◽  
Author(s):  
Juan F. P. J. Abascal ◽  
Paula Montesinos ◽  
Eugenio Marinetto ◽  
Javier Pascau ◽  
Manuel Desco
Keyword(s):  
Compressed Sensing ◽  
Motion Estimation ◽  
Total Variation ◽  
Animal Studies ◽  
Small Animal ◽  
Cine Mri ◽  
Cardiac Cine

scholarly journals Joint Reconstruction Framework of Compressed Sensing and Nonlinear Parallel Imaging for Dynamic Cardiac Magnetic Resonance Imaging

2021 ◽  
Author(s):  
Zhanqi Hu ◽  
Cailei Zhao ◽  
Xia Zhao ◽  
Lingyu Kong ◽  
Jun Yang ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Parallel Imaging ◽  
Dynamic Imaging ◽  
Cine Mri ◽  
Reconstruction Process ◽  
Joint Reconstruction ◽  
Cardiac Cine ◽  
Nonlinear Technique ◽  
Space Data

Abstract Compressed Sensing (CS) and parallel imaging are two promising techniques that accelerate the MRI acquisition process. Combining these two techniques is of great interest due to the complementary information used in each. In this study, we propose a new reconstruction framework for dynamic cardiac imaging that takes advantage of both CS-based dynamic imaging and one nonlinear parallel imaging technique. The method decouples the reconstruction process into two sequential steps: use CS to reconstruct a series of aliased dynamic images from the highly undersampled k-space data; use nonlinear GRAPPA method, one nonlinear technique of parallel imaging, to reconstruct the original dynamic images from the k-space data that has been reconstructed by CS. The sampling scheme of the proposed method is designed to simultaneously satisfy the incoherent undersampling requirement for CS and the structured undersampling requirement for nonlinear parallel imaging. Four in vivo experiments of dynamic cardiac cine MRI were carried out with retrospective undersampling to evaluate the performance of the proposed method. Experiments show the proposed method of dynamic cardiac cine MRI is superior at reducing aliasing artifacts and preserving the spatial details and temporal variations, when compared with k-t FOCUSS and k-t FOCUSS with sensitivity encoding, using the same numbers of measurements. The proposed joint reconstruction framework effectively combines the CS method and one nonlinear technique of parallel imaging, and improves the image quality of dynamic cardiac cine MRI reconstruction when comparing to the state-of-the-art methods.

Motion Adaptive Patch-Based Low-Rank Approach for Compressed Sensing Cardiac Cine MRI

2014 ◽  
Vol 33 (11) ◽  
pp. 2069-2085 ◽  
Author(s):  
Huisu Yoon ◽  
Kyung Sang Kim ◽  
Daniel Kim ◽  
Yoram Bresler ◽  
Jong Chul Ye
Keyword(s):  
Compressed Sensing ◽  
Low Rank ◽  
Cine Mri ◽  
Cardiac Cine

scholarly journals Validation of highly accelerated real‐time cardiac cine MRI with radial k‐space sampling and compressed sensing in patients at 1.5T and 3T

2017 ◽  
Vol 79 (5) ◽  
pp. 2745-2751 ◽  
Author(s):  
Hassan Haji‐Valizadeh ◽  
Amir A. Rahsepar ◽  
Jeremy D. Collins ◽  
Elwin Bassett ◽  
Tamara Isakova ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Real Time ◽  
Cine Mri ◽  
Cardiac Cine

Space-time variant weighted regularization in compressed sensing cardiac cine MRI

2019 ◽  
Vol 58 ◽  
pp. 44-55 ◽  
Author(s):  
Alejandro Godino-Moya ◽  
Javier Royuela-del-Val ◽  
Muhammad Usman ◽  
Rosa-María Menchón-Lara ◽  
Marcos Martín-Fernández ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Space Time ◽  
Cine Mri ◽  
Cardiac Cine

scholarly journals Whole-Heart Single Breath-Hold Cardiac Cine: A Robust Motion-Compensated Compressed Sensing Reconstruction Method

2017 ◽  
pp. 58-69 ◽  
Author(s):  
Javier Royuela-del-Val ◽  
Muhammad Usman ◽  
Lucilio Cordero-Grande ◽  
Marcos Martin-Fernandez ◽  
Federico Simmross-Wattenberg ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Breath Hold ◽  
Reconstruction Method ◽  
Single Breath ◽  
Single Breath Hold ◽  
Cardiac Cine ◽  
Whole Heart

scholarly journals Network slimming for compressed‐sensing cardiac cine MRI

2021 ◽  
Author(s):  
Seong Jae Park ◽  
Chae Guk Lim ◽  
Chang‐Beom Ahn
Keyword(s):  
Compressed Sensing ◽  
Cine Mri ◽  
Cardiac Cine
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