Free-breathing, motion-corrected, highly efficient whole heart T2 mapping at 3T with hybrid radial-cartesian trajectory
Hsin-Jung Yang
Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Bioengineering, University of California, Los Angeles, California, USA
Search for more papers by this authorBehzad Sharif
Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
Behzad Sharif and Jianing Pang contributed equally to this work.
Search for more papers by this authorJianing Pang
Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
Behzad Sharif and Jianing Pang contributed equally to this work.
Search for more papers by this authorAvinash Kali
Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Bioengineering, University of California, Los Angeles, California, USA
Search for more papers by this authorXiaoming Bi
MR R&D, Siemens Healthcare, Los Angeles, California, USA
Search for more papers by this authorIvan Cokic
Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
Search for more papers by this authorDebiao Li
Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Bioengineering, University of California, Los Angeles, California, USA
Department of Medicine, University of California, Los Angeles, California, USA
Search for more papers by this authorCorresponding Author
Rohan Dharmakumar
Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Medicine, University of California, Los Angeles, California, USA
Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Correspondence to: Rohan Dharmakumar, Ph.D., Department of Biomedical Sciences, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, PACT Building, Suite 800, 8700 Beverly Boulevard, Los Angeles, CA 90048. E-mail: [email protected]Search for more papers by this authorHsin-Jung Yang
Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Bioengineering, University of California, Los Angeles, California, USA
Search for more papers by this authorBehzad Sharif
Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
Behzad Sharif and Jianing Pang contributed equally to this work.
Search for more papers by this authorJianing Pang
Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
Behzad Sharif and Jianing Pang contributed equally to this work.
Search for more papers by this authorAvinash Kali
Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Bioengineering, University of California, Los Angeles, California, USA
Search for more papers by this authorXiaoming Bi
MR R&D, Siemens Healthcare, Los Angeles, California, USA
Search for more papers by this authorIvan Cokic
Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
Search for more papers by this authorDebiao Li
Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Bioengineering, University of California, Los Angeles, California, USA
Department of Medicine, University of California, Los Angeles, California, USA
Search for more papers by this authorCorresponding Author
Rohan Dharmakumar
Biomedical Imaging Research Institute, Department of Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Medicine, University of California, Los Angeles, California, USA
Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Correspondence to: Rohan Dharmakumar, Ph.D., Department of Biomedical Sciences, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, PACT Building, Suite 800, 8700 Beverly Boulevard, Los Angeles, CA 90048. E-mail: [email protected]Search for more papers by this authorThe content of this article is solely the responsibility of the authors and does not necessarily represent the official views of the American Heart Association, the National Heart, Lung, and Blood Institute, or the National Institutes of Health.
Abstract
Purpose
To develop and test a time-efficient, free-breathing, whole heart T2 mapping technique at 3.0T.
Methods
ECG-triggered three-dimensional (3D) images were acquired with different T2 preparations at 3.0T during free breathing. Respiratory motion was corrected with a navigator-guided motion correction framework at near perfect efficiency. Image intensities were fit to a monoexponential function to derive myocardial T2 maps. The proposed 3D, free breathing, motion-corrected (3D-FB-MoCo) approach was studied in ex vivo canine hearts and kidneys, healthy volunteers, and canine subjects with acute myocardial infarction (AMI).
Results
Ex vivo T2 values from proposed 3D T2-prep gradient echo were not different from two-dimensional (2D) spin echo (P = 0.7) and T2-prep balanced steady-state free precession (bSSFP) (P = 0.7). In healthy volunteers, compared with 3D-FB-MoCo and breath-held 2D T2-prep bSSFP (2D-BH), non–motion-corrected (3D-FB-Non-MoCo) myocardial T2 was longer, had a larger coefficient of variation (COV), and had a lower image quality (IQ) score (T2 = 40.3 ms, COV = 38%, and IQ = 2.3; all P < 0.05). Conversely, the mean and COV and IQ of 3D-FB-MoCo (T2 = 37.7 ms, COV = 17%, and IQ = 3.5) and 2D-BH (T2 = 38.0 ms, COV = 15%, and IQ = 3.8) were not different (P = 0.99, P = 0.74, and P = 0.14, respectively). In AMI, T2 values and edema volumes from 3D-FB-MoCo and 2D-BH were closely correlated (R2 = 0.88 and 0.96, respectively).
Conclusion
The proposed whole heart T2 mapping approach can be performed within 5 min with similar accuracy to that of the 2D-BH T2 mapping approach. Magn Reson Med 75:126–136, 2016. © 2015 Wiley Periodicals, Inc.
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