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Gaur S, Panda A, Fajardo JE, Hamilton J, Jiang Y, Gulani V. Magnetic Resonance Fingerprinting: A Review of Clinical Applications. Invest Radiol 2023; 58:561-577. [PMID: 37026802 PMCID: PMC10330487 DOI: 10.1097/rli.0000000000000975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/08/2023]
Abstract
ABSTRACT Magnetic resonance fingerprinting (MRF) is an approach to quantitative magnetic resonance imaging that allows for efficient simultaneous measurements of multiple tissue properties, which are then used to create accurate and reproducible quantitative maps of these properties. As the technique has gained popularity, the extent of preclinical and clinical applications has vastly increased. The goal of this review is to provide an overview of currently investigated preclinical and clinical applications of MRF, as well as future directions. Topics covered include MRF in neuroimaging, neurovascular, prostate, liver, kidney, breast, abdominal quantitative imaging, cardiac, and musculoskeletal applications.
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Affiliation(s)
- Sonia Gaur
- Department of Radiology, Michigan Medicine, Ann Arbor, MI
| | - Ananya Panda
- All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
| | | | - Jesse Hamilton
- Department of Radiology, Michigan Medicine, Ann Arbor, MI
| | - Yun Jiang
- Department of Radiology, Michigan Medicine, Ann Arbor, MI
| | - Vikas Gulani
- Department of Radiology, Michigan Medicine, Ann Arbor, MI
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Liu Y, Hamilton J, Jiang Y, Seiberlich N. Cardiac MRF using rosette trajectories for simultaneous myocardial T1, T2, and proton density fat fraction mapping. Front Cardiovasc Med 2022; 9:977603. [PMID: 36204572 PMCID: PMC9530568 DOI: 10.3389/fcvm.2022.977603] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 08/25/2022] [Indexed: 11/22/2022] Open
Abstract
The goal of this work is to extend prior work on cardiac MR Fingerprinting (cMRF) using rosette k-space trajectories to enable simultaneous T1, T2, and proton density fat fraction (PDFF) mapping in the heart. A rosette trajectory designed for water-fat separation at 1.5T was used in a 2D ECG-triggered 15-heartbeat cMRF sequence. Water and fat specific T1 and T2 maps were generated from the cMRF data. A PDFF map was also retrieved using Hierarchical IDEAL by segmenting the rosette cMRF data into multiple echoes. The accuracy of rosette cMRF in T1, T2, and PDFF quantification was validated in the ISMRM/NIST phantom and an in-house built fat fraction phantom, respectively. The proposed method was also applied for myocardial tissue mapping of healthy subjects and cardiac patients at 1.5T. T1, T2, and PDFF values measured using rosette cMRF in the ISMRM/NIST phantom and the fat fraction phantom agreed well with the reference values. In 16 healthy subjects, rosette cMRF yielded T1 values which were 80~90 ms higher than spiral cMRF and MOLLI. T2 values obtained using rosette cMRF were ~3 ms higher than spiral cMRF and ~5 ms lower than conventional T2-prep bSSFP method. Rosette cMRF was also able to detect abnormal T1 and T2 values in cardiomyopathy patients and may provide more accurate maps due to effective fat suppression. In conclusion, this study shows that rosette cMRF has the potential for efficient cardiac tissue characterization through simultaneous quantification of myocardial T1, T2, and PDFF.
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Affiliation(s)
- Yuchi Liu
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
- *Correspondence: Yuchi Liu
| | - Jesse Hamilton
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Yun Jiang
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
| | - Nicole Seiberlich
- Department of Radiology, University of Michigan, Ann Arbor, MI, United States
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, United States
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Liu Y, Hamilton J, Eck B, Griswold M, Seiberlich N. Myocardial T 1 and T 2 quantification and water-fat separation using cardiac MR fingerprinting with rosette trajectories at 3T and 1.5T. Magn Reson Med 2020; 85:103-119. [PMID: 32720408 PMCID: PMC10212526 DOI: 10.1002/mrm.28404] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Revised: 05/14/2020] [Accepted: 06/08/2020] [Indexed: 12/30/2022]
Abstract
PURPOSE This work aims to develop an approach for simultaneous water-fat separation and myocardial T1 and T2 quantification based on the cardiac MR fingerprinting (cMRF) framework with rosette trajectories at 3T and 1.5T. METHODS Two 15-heartbeat cMRF sequences with different rosette trajectories designed for water-fat separation at 3T and 1.5T were implemented. Water T1 and T2 maps, water image, and fat image were generated with B0 inhomogeneity correction using a B0 map derived from the cMRF data themselves. The proposed water-fat separation rosette cMRF approach was validated in the International Society for Magnetic Resonance in Medicine/National Institute of Standards and Technology MRI system phantom and water/oil phantoms. It was also applied for myocardial tissue mapping of healthy subjects at both 3T and 1.5T. RESULTS Water T1 and T2 values measured using rosette cMRF in the International Society for Magnetic Resonance in Medicine/National Institute of Standards and Technology phantom agreed well with the reference values. In the water/oil phantom, oil was well suppressed in the water images and vice versa. Rosette cMRF yielded comparable T1 but 2~3 ms higher T2 values in the myocardium of healthy subjects than the original spiral cMRF method. Epicardial fat deposition was also clearly shown in the fat images. CONCLUSION Rosette cMRF provides fat images along with myocardial T1 and T2 maps with significant fat suppression. This technique may improve visualization of the anatomical structure of the heart by separating water and fat and could provide value in diagnosing cardiac diseases associated with fibrofatty infiltration or epicardial fat accumulation. It also paves the way toward comprehensive myocardial tissue characterization in a single scan.
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Affiliation(s)
- Yuchi Liu
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.,Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Jesse Hamilton
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.,Department of Radiology, University of Michigan, Ann Arbor, MI, USA
| | - Brendan Eck
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.,Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner Research Institute, Cleveland, OH, USA
| | - Mark Griswold
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.,Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Nicole Seiberlich
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, USA.,Department of Radiology, University of Michigan, Ann Arbor, MI, USA.,Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
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Liu Y, Hamilton J, Rajagopalan S, Seiberlich N. Cardiac Magnetic Resonance Fingerprinting: Technical Overview and Initial Results. JACC Cardiovasc Imaging 2018; 11:1837-1853. [PMID: 30522686 PMCID: PMC6394856 DOI: 10.1016/j.jcmg.2018.08.028] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Revised: 08/29/2018] [Accepted: 08/30/2018] [Indexed: 01/03/2023]
Abstract
Cardiovascular magnetic resonance is a versatile tool that enables noninvasive characterization of cardiac tissue structure and function. Parametric mapping techniques have allowed unparalleled differentiation of pathophysiological differences in the myocardium such as the delineation of myocardial fibrosis, hemorrhage, and edema. These methods are increasingly used as part of a tool kit to characterize disease states such as cardiomyopathies and coronary artery disease more accurately. Currently conventional mapping techniques require separate acquisitions for T1 and T2 mapping, the values of which may depend on specifics of the magnetic resonance imaging system hardware, pulse sequence implementation, and physiological variables including blood pressure and heart rate. The cardiac magnetic resonance fingerprinting (cMRF) technique has recently been introduced for simultaneous and reproducible measurement of T1 and T2 maps in a single scan. The potential for this technique to provide consistent tissue property values independent of variables including scanner, pulse sequence, and physiology could allow an unbiased framework for the assessment of intrinsic properties of cardiac tissue including structure, perfusion, and parameters such as extracellular volume without the administration of exogenous contrast agents. This review seeks to introduce the basics of the cMRF technique, including pulse sequence design, dictionary generation, and pattern matching. The potential applications of cMRF in assessing diseases such as nonischemic cardiomyopathy are also briefly discussed, and ongoing areas of research are described.
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Affiliation(s)
- Yuchi Liu
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio
| | - Jesse Hamilton
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio
| | - Sanjay Rajagopalan
- Department of Cardiovascular Medicine, University Hospitals, Harrington Heart and Vascular Institute, Cleveland Medical Center and Case Western Reserve School of Medicine, Cleveland, Ohio
| | - Nicole Seiberlich
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio; Department of Cardiovascular Medicine, University Hospitals, Harrington Heart and Vascular Institute, Cleveland Medical Center and Case Western Reserve School of Medicine, Cleveland, Ohio; Department of Radiology, Case Western Reserve University, Cleveland, Ohio.
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Puntmann VO, Isted A, Hinojar R, Foote L, Carr-White G, Nagel E. T1 and T2 Mapping in Recognition of Early Cardiac Involvement in Systemic Sarcoidosis. Radiology 2017; 285:63-72. [PMID: 28448233 DOI: 10.1148/radiol.2017162732] [Citation(s) in RCA: 109] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Purpose To determine whether quantitative tissue characterization with T1 and T2 mapping supports recognition of myocardial involvement in patients with systemic sarcoidosis. Materials and Methods Fifty-three consecutive patients with a biopsy-proven extracardiac diagnosis of systemic sarcoidosis (21 men; median age, 45 years; interquartile range, 22 years) and 36 normotensive previously healthy control subjects (14 men; median age, 43 years; interquartile range, 18 years) underwent cardiovascular magnetic resonance imaging, which was performed to assess cardiac function and late gadolinium enhancement, and T1 and T2 mapping. A follow-up substudy was performed in 40 patients (mean follow-up interval, 144 days ± 35 [standard deviation]); of these 40 patients, 18 underwent anti-inflammatory treatment for systemic symptoms. Binary logistic regression and receiver operating characteristic curve analyses were used to assess discrimination between health and disease; Wilcoxon signed rank test was used to assess the effect of treatment. Results When compared with control subjects, patients had higher ventricular volume, higher myocardial native T1 and T2, and lower longitudinal strain and ejection fraction (P < .05 for all). Myocardial native T1 and T2 had higher discriminatory accuracy (area under the receiver operating characteristic curve [AUC]: 0.96 and 0.89, respectively) for separation between control subjects and patients when compared with the standard diagnostic criteria (AUC < 0.67). Native T1 was the independent discriminator between health and disease (specificity, 90%; sensitivity, 96%; accuracy, 94%). There was a significant reduction of native T1 and T2 in the patients who underwent treatment (z score: -3.72 and -2.88; P < .01) but not in the patients who did not (z score, -1.42 and -1.38; P > .15). Conclusion Quantitative myocardial tissue characterization with T1 and T2 mapping may enable noninvasive recognition of cardiac involvement and activity of myocardial inflammation in patients with systemic sarcoidosis. Future studies will be performed to confirm their role in risk stratification and guidance of clinical management. © RSNA, 2017 Online supplemental material is available for this article.
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Affiliation(s)
- Valentina O Puntmann
- From the Department of Cardiology, Guy's and St Thomas' NHS Trust, London, England (V.O.P., A.I., R.H., L.F., G.C., E.N.); Institute of Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main 60590, Germany (V.O.P., E.N.); Department of Cardiology, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany (V.O.P.); Department of Cardiovascular Imaging, King's College London, St. Thomas' Hospital, London, England (V.O.P.); Ramón y Cajal University Hospital, University of Alcalá, Madrid, Spain (R.H.); and King's College Hospital NHS Trust, Denmark Hill, London, England (G.C.)
| | - Alexander Isted
- From the Department of Cardiology, Guy's and St Thomas' NHS Trust, London, England (V.O.P., A.I., R.H., L.F., G.C., E.N.); Institute of Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main 60590, Germany (V.O.P., E.N.); Department of Cardiology, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany (V.O.P.); Department of Cardiovascular Imaging, King's College London, St. Thomas' Hospital, London, England (V.O.P.); Ramón y Cajal University Hospital, University of Alcalá, Madrid, Spain (R.H.); and King's College Hospital NHS Trust, Denmark Hill, London, England (G.C.)
| | - Rocio Hinojar
- From the Department of Cardiology, Guy's and St Thomas' NHS Trust, London, England (V.O.P., A.I., R.H., L.F., G.C., E.N.); Institute of Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main 60590, Germany (V.O.P., E.N.); Department of Cardiology, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany (V.O.P.); Department of Cardiovascular Imaging, King's College London, St. Thomas' Hospital, London, England (V.O.P.); Ramón y Cajal University Hospital, University of Alcalá, Madrid, Spain (R.H.); and King's College Hospital NHS Trust, Denmark Hill, London, England (G.C.)
| | - Lucy Foote
- From the Department of Cardiology, Guy's and St Thomas' NHS Trust, London, England (V.O.P., A.I., R.H., L.F., G.C., E.N.); Institute of Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main 60590, Germany (V.O.P., E.N.); Department of Cardiology, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany (V.O.P.); Department of Cardiovascular Imaging, King's College London, St. Thomas' Hospital, London, England (V.O.P.); Ramón y Cajal University Hospital, University of Alcalá, Madrid, Spain (R.H.); and King's College Hospital NHS Trust, Denmark Hill, London, England (G.C.)
| | - Gerald Carr-White
- From the Department of Cardiology, Guy's and St Thomas' NHS Trust, London, England (V.O.P., A.I., R.H., L.F., G.C., E.N.); Institute of Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main 60590, Germany (V.O.P., E.N.); Department of Cardiology, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany (V.O.P.); Department of Cardiovascular Imaging, King's College London, St. Thomas' Hospital, London, England (V.O.P.); Ramón y Cajal University Hospital, University of Alcalá, Madrid, Spain (R.H.); and King's College Hospital NHS Trust, Denmark Hill, London, England (G.C.)
| | - Eike Nagel
- From the Department of Cardiology, Guy's and St Thomas' NHS Trust, London, England (V.O.P., A.I., R.H., L.F., G.C., E.N.); Institute of Experimental and Translational Cardiovascular Imaging, DZHK Centre for Cardiovascular Imaging, Goethe University Hospital Frankfurt, Theodor-Stern-Kai 7, Frankfurt am Main 60590, Germany (V.O.P., E.N.); Department of Cardiology, Goethe University Hospital Frankfurt, Frankfurt am Main, Germany (V.O.P.); Department of Cardiovascular Imaging, King's College London, St. Thomas' Hospital, London, England (V.O.P.); Ramón y Cajal University Hospital, University of Alcalá, Madrid, Spain (R.H.); and King's College Hospital NHS Trust, Denmark Hill, London, England (G.C.)
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