Free-breathing, non-ECG, simultaneous myocardial T1, T2, T2*, and fat-fraction mapping with motion-resolved cardiovascular MR multitasking
Tianle Cao
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Bioengineering, University of California, Los Angeles, California, USA
Search for more papers by this authorNan Wang
Radiology Department, Stanford University, Stanford, California, USA
Search for more papers by this authorAlan C. Kwan
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Imaging and Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA
Search for more papers by this authorHsu-Lei Lee
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Search for more papers by this authorXianglun Mao
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Search for more papers by this authorYibin Xie
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Search for more papers by this authorKim-Lien Nguyen
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Bioengineering, University of California, Los Angeles, California, USA
Department of Radiological Sciences, David Geffen School of Medicine and VA Greater Los Angeles Healthcare System, Los Angeles, California, USA
Search for more papers by this authorCaroline M. Colbert
Department of Radiological Sciences, David Geffen School of Medicine and VA Greater Los Angeles Healthcare System, Los Angeles, California, USA
Physics and Biology in Medicine, University of California, Los Angeles, California, USA
Search for more papers by this authorFei Han
MR Research and Development, Siemens Medical Solutions USA, Inc., Los Angeles, California, USA
Search for more papers by this authorPei Han
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Bioengineering, University of California, Los Angeles, California, USA
Search for more papers by this authorHui Han
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Bioengineering, University of California, Los Angeles, California, USA
Search for more papers by this authorAnthony G. Christodoulou
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Bioengineering, University of California, Los Angeles, California, USA
Search for more papers by this authorCorresponding Author
Debiao Li
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Bioengineering, University of California, Los Angeles, California, USA
Correspondence
Debiao Li, Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd, PACT 400, Los Angeles, CA 90048, USA.
Email: [email protected]
Search for more papers by this authorTianle Cao
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Bioengineering, University of California, Los Angeles, California, USA
Search for more papers by this authorNan Wang
Radiology Department, Stanford University, Stanford, California, USA
Search for more papers by this authorAlan C. Kwan
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Imaging and Cardiology, Cedars-Sinai Medical Center, Los Angeles, California, USA
Search for more papers by this authorHsu-Lei Lee
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Search for more papers by this authorXianglun Mao
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Search for more papers by this authorYibin Xie
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Search for more papers by this authorKim-Lien Nguyen
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Bioengineering, University of California, Los Angeles, California, USA
Department of Radiological Sciences, David Geffen School of Medicine and VA Greater Los Angeles Healthcare System, Los Angeles, California, USA
Search for more papers by this authorCaroline M. Colbert
Department of Radiological Sciences, David Geffen School of Medicine and VA Greater Los Angeles Healthcare System, Los Angeles, California, USA
Physics and Biology in Medicine, University of California, Los Angeles, California, USA
Search for more papers by this authorFei Han
MR Research and Development, Siemens Medical Solutions USA, Inc., Los Angeles, California, USA
Search for more papers by this authorPei Han
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Bioengineering, University of California, Los Angeles, California, USA
Search for more papers by this authorHui Han
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Bioengineering, University of California, Los Angeles, California, USA
Search for more papers by this authorAnthony G. Christodoulou
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Bioengineering, University of California, Los Angeles, California, USA
Search for more papers by this authorCorresponding Author
Debiao Li
Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
Department of Bioengineering, University of California, Los Angeles, California, USA
Correspondence
Debiao Li, Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, 8700 Beverly Blvd, PACT 400, Los Angeles, CA 90048, USA.
Email: [email protected]
Search for more papers by this authorAnthony G. Christodoulou and Debiao Li contributed equally to this work.
Funding information: National Institute of Health, Grant/Award Numbers: R01EB028146; R01HL148182; R01HL156818; VA-MERIT, Grant/Award Number: I01CX001901
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Abstract
Purpose
To develop a free-breathing, non-electrocardiogram technique for simultaneous myocardial T1, T2, T2*, and fat-fraction (FF) mapping in a single scan.
Methods
The MR Multitasking framework is adapted to quantify T1, T2, T2*, and FF simultaneously. A variable TR scheme is developed to preserve temporal resolution and imaging efficiency. The underlying high-dimensional image is modeled as a low-rank tensor, which allows accelerated acquisition and efficient reconstruction. The accuracy and/or repeatability of the technique were evaluated on static and motion phantoms, 12 healthy volunteers, and 3 patients by comparing to the reference techniques.
Results
In static and motion phantoms, T1/T2/T2*/FF measurements showed substantial consistency (R > 0.98) and excellent agreement (intraclass correlation coefficient > 0.93) with reference measurements. In human subjects, the proposed technique yielded repeatable T1, T2, T2*, and FF measurements that agreed with those from references.
Conclusions
The proposed free-breathing, non-electrocardiogram, motion-resolved Multitasking technique allows simultaneous quantification of myocardial T1, T2, T2*, and FF in a single 2.5-min scan.
CONFLICT OF INTEREST
The author Fei Han is a full-time employee of Siemens Medical Solutions.
Supporting Information
Filename | Description |
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mrm29351-sup-0001-supinfo.docxWord 2007 document , 7.3 MB | TABLE S1 List of sequence parameters for phantom study FIGURE S1 Flow chart for image reconstruction FIGURE S2 Illustration of motion stage and phantom setup. The phantom was titled toward the vertical line so that the moving direction of the stage would not be parallel to the imaging plane and spheres will experience both in-plane and through-plane motion TABLE S2 List of sequence parameters for in vivo study. Phase oversampling will be used for reference sequences to avoid wrapping when necessary. Nominal scan time of reference sequences is calculated for heart rate of 60 bpm. Here the temporal resolution for Multitasking is defined as the period between training data acquisitions FIGURE S3 The correlation plot between Multitasking measurements with and without motion, with correlation coefficients and interclass correlation coefficients (ICCs) labeled (R > 0.95, ICC > 0.96) FIGURE S4 Comparison of variable TR (VTR) and constant TR (CTR) Multitasking measurements in motion phantoms. *Differences with statistical significance (p < 0.05) FIGURE S5 Evaluation of T1, T2, and T2* map quality from reference, CTR, and VTR Multitasking techniques. *Differences with statistical significance (p < 0.05) FIGURE S6 Variable TR Multitasking and reference T1/T2/T2*/fat fraction (FF) maps for a healthy subject. The image quality scores for the midventricular slice were as follows: reference T1, 3 (acceptable); reference T2, 4 (excellent); reference T2*, 2 (average); Multitasking T1, 2 (poor); Multitasking T2, 3 (acceptable); Multitasking T2*, 4 (very good) FIGURE S7 Variable TR Multitasking and reference T1/T2/T2*/FF maps for a healthy subject. The image quality scores for the midventricular slice were as follows: reference T1, 4 (excellent); reference T2, 4 (excellent); reference T2*, 4 (very good); Multitasking T1, 3 (acceptable); Multitasking T2, 4 (excellent); Multitasking T2*, 4 (very good) FIGURE S8 Bland–Altman plots comparing T1, T2, T2*, and FF measurements from first and second Multitasking scan in global myocardium (A) and in all six midventricular segments (B) of N = 12 healthy volunteers. The dotted lines indicate the 95% limits of agreement and the solid lines indicate mean bias |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
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