PMID- 26968143
OWN - NLM
STAT- MEDLINE
DCOM- 20170710
LR  - 20191008
IS  - 1873-5894 (Electronic)
IS  - 0730-725X (Print)
IS  - 0730-725X (Linking)
VI  - 34
IP  - 7
DP  - 2016 Sep
TI  - Compressed sensing for rapid late gadolinium enhanced imaging of the left atrium: 
      A preliminary study.
PG  - 846-54
LID - S0730-725X(16)00024-2 [pii]
LID - 10.1016/j.mri.2016.03.002 [doi]
AB  - Current late gadolinium enhancement (LGE) imaging of left atrial (LA) scar or 
      fibrosis is relatively slow and requires 5-15min to acquire an undersampled 
      (R=1.7) 3D navigated dataset. The GeneRalized Autocalibrating Partially Parallel 
      Acquisitions (GRAPPA) based parallel imaging method is the current clinical 
      standard for accelerating 3D LGE imaging of the LA and permits an acceleration 
      factor ~R=1.7. Two compressed sensing (CS) methods have been developed to achieve 
      higher acceleration factors: a patch based collaborative filtering technique 
      tested with acceleration factor R~3, and a technique that uses a 3D radial 
      stack-of-stars acquisition pattern (R~1.8) with a 3D total variation constraint. 
      The long reconstruction time of these CS methods makes them unwieldy to use, 
      especially the patch based collaborative filtering technique. In addition, the 
      effect of CS techniques on the quantification of percentage of scar/fibrosis is 
      not known. We sought to develop a practical compressed sensing method for imaging 
      the LA at high acceleration factors. In order to develop a clinically viable 
      method with short reconstruction time, a Split Bregman (SB) reconstruction method 
      with 3D total variation (TV) constraints was developed and implemented. The 
      method was tested on 8 atrial fibrillation patients (4 pre-ablation and 4 
      post-ablation datasets). Blur metric, normalized mean squared error and peak 
      signal to noise ratio were used as metrics to analyze the quality of the 
      reconstructed images, Quantification of the extent of LGE was performed on the 
      undersampled images and compared with the fully sampled images. Quantification of 
      scar from post-ablation datasets and quantification of fibrosis from pre-ablation 
      datasets showed that acceleration factors up to R~3.5 gave good 3D LGE images of 
      the LA wall, using a 3D TV constraint and constrained SB methods. This 
      corresponds to reducing the scan time by half, compared to currently used GRAPPA 
      methods. Reconstruction of 3D LGE images using the SB method was over 20 times 
      faster than standard gradient descent methods.
CI  - Copyright (c) 2016 Elsevier Inc. All rights reserved.
FAU - Kamesh Iyer, Srikant
AU  - Kamesh Iyer S
AD  - Electrical and Computer Engineering, University of Utah, UT, United States; 
      Scientific, Computational and Imaging Institute (SCI), University of Utah, UT, 
      United States; UCAIR, Dept of Radiology, University of Utah, UT, United States.
FAU - Tasdizen, Tolga
AU  - Tasdizen T
AD  - Electrical and Computer Engineering, University of Utah, UT, United States; 
      Scientific, Computational and Imaging Institute (SCI), University of Utah, UT, 
      United States.
FAU - Burgon, Nathan
AU  - Burgon N
AD  - CARMA, Department of Internal Medicine, University of Utah, UT, United States.
FAU - Kholmovski, Eugene
AU  - Kholmovski E
AD  - CARMA, Department of Internal Medicine, University of Utah, UT, United States; 
      UCAIR, Dept of Radiology, University of Utah, UT, United States.
FAU - Marrouche, Nassir
AU  - Marrouche N
AD  - CARMA, Department of Internal Medicine, University of Utah, UT, United States.
FAU - Adluru, Ganesh
AU  - Adluru G
AD  - UCAIR, Dept of Radiology, University of Utah, UT, United States.
FAU - DiBella, Edward
AU  - DiBella E
AD  - CARMA, Department of Internal Medicine, University of Utah, UT, United States; 
      UCAIR, Dept of Radiology, University of Utah, UT, United States. Electronic 
      address: edward.dibella@hsc.utah.edu.
LA  - eng
GR  - R21 HL110059/HL/NHLBI NIH HHS/United States
PT  - Comparative Study
PT  - Journal Article
DEP - 20160308
PL  - Netherlands
TA  - Magn Reson Imaging
JT  - Magnetic resonance imaging
JID - 8214883
RN  - AU0V1LM3JT (Gadolinium)
SB  - IM
MH  - Atrial Fibrillation/*diagnosis/surgery
MH  - Catheter Ablation
MH  - Cicatrix/diagnostic imaging
MH  - Female
MH  - Fibrosis/diagnostic imaging
MH  - *Gadolinium
MH  - Heart Atria/*diagnostic imaging
MH  - Humans
MH  - Image Interpretation, Computer-Assisted/*methods
MH  - Image Processing, Computer-Assisted/*methods
MH  - Imaging, Three-Dimensional/*methods
MH  - Magnetic Resonance Imaging/*methods
MH  - Middle Aged
MH  - Observer Variation
MH  - Radionuclide Imaging
MH  - Sensitivity and Specificity
PMC - PMC4946994
MID - NIHMS767204
OTO - NOTNLM
OT  - *Atrial fibrillation
OT  - *Compressed sensing
OT  - *Fast minimization
OT  - *LGE imaging of the left atrium
OT  - *MRI
EDAT- 2016/03/13 06:00
MHDA- 2017/07/14 06:00
PMCR- 2017/09/01
CRDT- 2016/03/13 06:00
PHST- 2014/12/13 00:00 [received]
PHST- 2016/02/19 00:00 [revised]
PHST- 2016/03/03 00:00 [accepted]
PHST- 2016/03/13 06:00 [entrez]
PHST- 2016/03/13 06:00 [pubmed]
PHST- 2017/07/14 06:00 [medline]
PHST- 2017/09/01 00:00 [pmc-release]
AID - S0730-725X(16)00024-2 [pii]
AID - 10.1016/j.mri.2016.03.002 [doi]
PST - ppublish
SO  - Magn Reson Imaging. 2016 Sep;34(7):846-54. doi: 10.1016/j.mri.2016.03.002. Epub 
      2016 Mar 8.