scholarly journals High spatial and temporal resolution cardiac cine MRI from retrospective reconstruction of data acquired in real time using motion correction and resorting

2009 ◽  
Vol 62 (6) ◽  
pp. 1557-1564 ◽  
Author(s):  
Peter Kellman ◽  
Christophe Chefd'hotel ◽  
Christine H. Lorenz ◽  
Christine Mancini ◽  
Andrew E. Arai ◽  
...  
Keyword(s):  
Real Time ◽  
Temporal Resolution ◽  
Motion Correction ◽  
Cine Mri ◽  
Cardiac Cine ◽  
Retrospective Reconstruction

scholarly journals Highly accelerated real-time cardiac cine MRI usingk-tSPARSE-SENSE

2012 ◽  
Vol 70 (1) ◽  
pp. 64-74 ◽  
Author(s):  
Li Feng ◽  
Monvadi B. Srichai ◽  
Ruth P. Lim ◽  
Alexis Harrison ◽  
Wilson King ◽  
...  
Keyword(s):  
Real Time ◽  
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

Evaluation of highly accelerated real-time cardiac cine MRI in tachycardia

2013 ◽  
Vol 27 (2) ◽  
pp. 175-182 ◽  
Author(s):  
Elwin C. Bassett ◽  
Eugene G. Kholmovski ◽  
Brent D. Wilson ◽  
Edward V. R. DiBella ◽  
Derek J. Dosdall ◽  
...  
Keyword(s):  
Real Time ◽  
Cine Mri ◽  
Cardiac Cine

Application of the Karhunen–Loeve transform temporal image filter to reduce noise in real-time cardiac cine MRI

2009 ◽  
Vol 54 (12) ◽  
pp. 3909-3922 ◽  
Author(s):  
Yu Ding ◽  
Yiu-Cho Chung ◽  
Subha V Raman ◽  
Orlando P Simonetti
Keyword(s):  
Real Time ◽  
Cine Mri ◽  
Image Filter ◽  
Cardiac Cine ◽  
Karhunen Loeve Transform

A kernel method for higher temporal resolution MRI using the partial separability (PS) model

2016 ◽  
Vol 61 (4) ◽  
pp. 393-400
Author(s):  
Xiang Feng ◽  
Guoxi Xie ◽  
Xin Liu ◽  
Bensheng Qiu
Keyword(s):  
Temporal Resolution ◽  
Kernel Method ◽  
Dynamic Change ◽  
Dynamic Mri ◽  
Training Data ◽  
Cine Mri ◽  
Partial Separability ◽  
Cardiac Cine ◽  
Magnetic Resonance Imaging Mri

Abstract The partial separability (PS) model for spatiotemporal signals has been exploited effectively for sparse (k, t)-space sampling in dynamic magnetic resonance imaging (MRI). However, the training data for defining the temporal subspace is reordered by using a projection strategy in the conventional PS model-based method, which results in a suboptimal temporal resolution imaging. To address this issue, a kernel method was presented in this work to reorder the training data to realize a higher temporal resolution MRI. Numerical simulation results show that the MRI temporal resolution could be further improved and the dynamic change of motion object could be accurately captured by the proposed method. In vivo cardiac cine MRI results demonstrate that the proposed method can reconstruct better MR images with higher temporal resolution (up to 8.4 ms per snapshot). This study may find use in ultra-high resolution dynamic MRI.

scholarly journals Motion correction using coil arrays (MOCCA) for free-breathing cardiac cine MRI

2011 ◽  
Vol 66 (2) ◽  
pp. 467-475 ◽  
Author(s):  
Peng Hu ◽  
Susie Hong ◽  
Mehdi H. Moghari ◽  
Beth Goddu ◽  
Lois Goepfert ◽  
...  
Keyword(s):  
Motion Correction ◽  
Free Breathing ◽  
Cine Mri ◽  
Cardiac Cine ◽  
Coil Arrays
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