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Hanneman K, Picano E, Campbell-Washburn AE, Zhang Q, Browne L, Kozor R, Battey T, Omary R, Saldiva P, Ng M, Rockall A, Law M, Kim H, Lee YJ, Mills R, Ntusi N, Bucciarelli-Ducci C, Markl M. Society for Cardiovascular Magnetic Resonance recommendations toward environmentally sustainable cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2025:101840. [PMID: 39884945 DOI: 10.1016/j.jocmr.2025.101840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2025] [Accepted: 01/13/2025] [Indexed: 02/01/2025] Open
Abstract
Delivery of health care, including medical imaging, generates substantial global greenhouse gas emissions. The cardiovascular magnetic resonance (CMR) community has an opportunity to decrease our carbon footprint, mitigate the effects of the climate crisis, and develop resiliency to current and future impacts of climate change. The goal of this document is to review and recommend actions and strategies to allow for CMR operation with improved sustainability, including efficient CMR protocols and CMR imaging workflow strategies for reducing greenhouse gas emissions, energy, and waste, and to decrease reliance on finite resources, including helium and waterbody contamination by gadolinium-based contrast agents. The article also highlights the potential of artificial intelligence and new hardware concepts, such as low-helium and low-field CMR, in achieving these aims. Specific actions include powering down magnetic resonance imaging scanners overnight and when not in use, reducing low-value CMR, and implementing efficient, non-contrast, and abbreviated CMR protocols when feasible. Data on estimated energy and greenhouse gas savings are provided where it is available, and areas of future research are highlighted.
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Affiliation(s)
- Kate Hanneman
- Department of Medical Imaging, University of Toronto, Toronto, Ontario, Canada
| | - Eugenio Picano
- University Clinical Center of Serbia, Cardiology Division, University of Belgrade, Serbia
| | - Adrienne E Campbell-Washburn
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Qiang Zhang
- RDM Division of Cardiovascular Medicine & NDPH Big Data Institute, University of Oxford, Oxford, UK
| | - Lorna Browne
- Dept of Radiology, Division of Pediatric Radiology, Children's Hospital Colorado, University of Colorado School of Medicine, USA
| | - Rebecca Kozor
- University of Sydney and Royal North Shore Hospital, Sydney, Australia
| | - Thomas Battey
- Department of Radiology and Medical Imaging, University of Virginia Health System, Charlottesville, Virginia, USA
| | - Reed Omary
- Departments of Radiology & Biomedical Engineering, Vanderbilt University, Nashville TN, USA; Greenwell Project, Nashville, TN, USA
| | - Paulo Saldiva
- Department of Pathology, University of Sao Paulo School of Medicine, Sao Paulo, Brazil
| | - Ming Ng
- Department of Diagnostic Radiology, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong
| | - Andrea Rockall
- Dept of Surgery and Cancer, Faculty of Medicine, Imperial College London, UK
| | - Meng Law
- Departments of Neuroscience, Electrical and Computer Systems Engineering, Monash University, Australia; Department of Radiology, Alfred Health, Melbourne, Australia
| | - Helen Kim
- Department of Radiology, University of Washington, WA, USA
| | - Yoo Jin Lee
- Department of Radiology and Biomedical Engineering, UCSF, San Francisco, California, USA
| | - Rebecca Mills
- University of Oxford Centre for Clinical Magnetic Resonance Research, Oxford, UK
| | - Ntobeko Ntusi
- Groote Schuur Hospital, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Chiara Bucciarelli-Ducci
- Royal Brompton and Harefield Hospitals, Guys' & St Thomas NHS Trust, London, United Kingdom; School of Biomedical Engineering and Imaging Sciences, Faculty of Life Sciences and Medicine, King's College University, London, UK
| | - Michael Markl
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA; Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, Illinois, USA.
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Zhang CY, Cleri M, Woodgate T, Ramirez Gilliland P, Bansal S, Aviles Verdera J, Uus AU, Kyriakopoulou V, St Clair K, Story L, Hall M, Pushparajah K, Hajnal JV, Lloyd D, Rutherford MA, Hutter J, Payette K. Structural and functional fetal cardiac imaging using low field (0.55 T) MRI. Front Pediatr 2024; 12:1418645. [PMID: 39318614 PMCID: PMC11421172 DOI: 10.3389/fped.2024.1418645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/16/2024] [Accepted: 08/20/2024] [Indexed: 09/26/2024] Open
Abstract
Purpose This study aims to investigate the feasibility of using a commercially available clinical 0.55 T MRI scanner for comprehensive structural and functional fetal cardiac imaging. Methods Balanced steady-state free precession (bSSFP) and phase contrast (PC) sequences were optimized by in utero studies consisting of 14 subjects for bSSFP optimization and 9 subjects for PC optimization. The signal-to-noise ratio (SNR) of the optimized sequences were investigated. Flow measurements were performed in three vessels, umbilical vein (UV), descending aorta (DAo), and superior vena cava (SVC) using the PC sequences and retrospective gating. The optimized bSSFP, PC and half-Fourier single shot turbo spin-echo (HASTE) sequences were acquired in a cohort of 21 late gestation-age fetuses (>36 weeks) to demonstrate the feasibility of a fetal cardiac exam at 0.55 T. The HASTE stacks were reconstructed to create an isotropic reconstruction of the fetal thorax, followed by automatic great vessel segmentations. The intra-abdominal UV blood flow measurements acquired with MRI were compared to ultrasound UV free-loop flow measurements. Results Using the parameters from 1.5 T as a starting point, the bSSFP sequences were optimized at 0.55 T, resulting in a 1.6-fold SNR increase and improved image contrast compared to starting parameters, as well as good visibility of most cardiac structures as rated by two experienced fetal cardiologists. The PC sequence resulted in increased SNR and reduced scan time, subsequent retrospective gating enabled successful blood flow measurements. The reconstructions and automatic great vessel segmentations showed good quality, with 18/21 segmentations requiring no or minor refinements. Blood flow measurements were within the expected range. A comparison of the UV measurements performed with ultrasound and MRI showed agreement between the two sets of measurements, with better correlation observed at lower flows. Conclusion We demonstrated the feasibility of low-field (0.55 T) MRI for fetal cardiac imaging. The reduced SNR at low field strength can be effectively compensated for by strategically optimizing sequence parameters. Major fetal cardiac structures and vessels were consistently visualized, and flow measurements were successfully obtained. The late gestation study demonstrated the robustness and reproducibility at low field strength. MRI performed at 0.55 T is a viable option for fetal cardiac examination.
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Affiliation(s)
- Charlie Yuli Zhang
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Michela Cleri
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- London Collaborative Ultra High Field Systems (LoCUS), King’s College London, London, United Kingdom
| | - Tomas Woodgate
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Congenital Heart Disease, Evelina Children Hospital, London, United Kingdom
| | - Paula Ramirez Gilliland
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Simi Bansal
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Women & Children’s Health, King’s College London, London, United Kingdom
| | - Jordina Aviles Verdera
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Alena U. Uus
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Vanessa Kyriakopoulou
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Kamilah St Clair
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Lisa Story
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Women & Children’s Health, King’s College London, London, United Kingdom
| | - Megan Hall
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Women & Children’s Health, King’s College London, London, United Kingdom
| | - Kuberan Pushparajah
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Congenital Heart Disease, Evelina Children Hospital, London, United Kingdom
| | - Joseph V. Hajnal
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - David Lloyd
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Department of Congenital Heart Disease, Evelina Children Hospital, London, United Kingdom
| | - Mary A. Rutherford
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
| | - Jana Hutter
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Smart Imaging Lab, Radiological Institute, University Hospital Erlangen, Erlangen, Germany
| | - Kelly Payette
- Research Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
- Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King’s College London, London, United Kingdom
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Segeroth M, Winkel DJ, Vosshenrich J, Breit HC, Giese D, Haaf P, Zellweger MJ, Bremerich J, Santini F, Pradella M. Cardiac Cine MRI Using a Commercially Available 0.55-T Scanner. Radiol Cardiothorac Imaging 2024; 6:e230331. [PMID: 38990132 PMCID: PMC11369657 DOI: 10.1148/ryct.230331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 05/02/2024] [Accepted: 06/03/2024] [Indexed: 07/12/2024]
Abstract
Purpose To compare parameters of left ventricular (LV) and right ventricular (RV) volume and function between a commercially available 0.55-T low-field-strength cardiac cine MRI scanner and a 1.5-T scanner. Materials and Methods In this prospective study, healthy volunteers (May 2022 to July 2022) underwent same-day cine imaging using both scanners (0.55 T, 1.5 T). Volumetric and functional parameters were assessed by two experts. After analyzing the results of a blinded crossover reader study of the healthy volunteers, 20 participants with clinically indicated cardiac MRI were prospectively included (November 2022 to February 2023). In a second blinded expert reading, parameters from clinical 1.5-T scans in these participants were compared with those same-day 0.55-T scans. Results are displayed as Bland-Altman plots. Results Eleven healthy volunteers (mean age: 33 years [95% CI: 27, 40]; four of 11 [36%] female, seven of 11 [64%] male) were included. Very strong mean correlation was observed (r = 0.98 [95% CI: 0.97, 0.98]). Average deviation between MRI systems was 1.6% (95% CI: 0.3, 2.9) for both readers. Twenty participants with clinically indicated cardiac MRI were included (mean age: 55 years [95% CI: 48, 62], six of 20 [30%] female, 14 of 20 [70%] male). Mean correlation was very strong (r = 0.98 [95% CI: 0.97, 0.98]). LV and RV parameters demonstrated an average deviation of 1.1% (95% CI: 0.1, 2.1) between MRI systems. Conclusion Cardiac cine MRI at 0.55 T yielded comparable results for quantitative biventricular volumetric and functional parameters compared with routine imaging at 1.5 T, if acquisition time is doubled. Keywords: Cardiac, Comparative Studies, Heart, Cardiovascular MRI, Cine, Myocardium Supplemental material is available for this article. ©RSNA, 2024.
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Affiliation(s)
- Martin Segeroth
- From the Department of Radiology (M.S., D.J.W., J.V., H.C.B., J.B.,
F.S., M.P.) and Clinic of Cardiology (P.H., M.J.Z.), University Hospital Basel,
Petersgraben 4, 4031 Basel, Switzerland; and Magnetic Resonance, Siemens
Healthcare, Erlangen, Germany (D.G.)
| | - David J. Winkel
- From the Department of Radiology (M.S., D.J.W., J.V., H.C.B., J.B.,
F.S., M.P.) and Clinic of Cardiology (P.H., M.J.Z.), University Hospital Basel,
Petersgraben 4, 4031 Basel, Switzerland; and Magnetic Resonance, Siemens
Healthcare, Erlangen, Germany (D.G.)
| | - Jan Vosshenrich
- From the Department of Radiology (M.S., D.J.W., J.V., H.C.B., J.B.,
F.S., M.P.) and Clinic of Cardiology (P.H., M.J.Z.), University Hospital Basel,
Petersgraben 4, 4031 Basel, Switzerland; and Magnetic Resonance, Siemens
Healthcare, Erlangen, Germany (D.G.)
| | - Hanns-Christian Breit
- From the Department of Radiology (M.S., D.J.W., J.V., H.C.B., J.B.,
F.S., M.P.) and Clinic of Cardiology (P.H., M.J.Z.), University Hospital Basel,
Petersgraben 4, 4031 Basel, Switzerland; and Magnetic Resonance, Siemens
Healthcare, Erlangen, Germany (D.G.)
| | - Daniel Giese
- From the Department of Radiology (M.S., D.J.W., J.V., H.C.B., J.B.,
F.S., M.P.) and Clinic of Cardiology (P.H., M.J.Z.), University Hospital Basel,
Petersgraben 4, 4031 Basel, Switzerland; and Magnetic Resonance, Siemens
Healthcare, Erlangen, Germany (D.G.)
| | - Philip Haaf
- From the Department of Radiology (M.S., D.J.W., J.V., H.C.B., J.B.,
F.S., M.P.) and Clinic of Cardiology (P.H., M.J.Z.), University Hospital Basel,
Petersgraben 4, 4031 Basel, Switzerland; and Magnetic Resonance, Siemens
Healthcare, Erlangen, Germany (D.G.)
| | - Michael J. Zellweger
- From the Department of Radiology (M.S., D.J.W., J.V., H.C.B., J.B.,
F.S., M.P.) and Clinic of Cardiology (P.H., M.J.Z.), University Hospital Basel,
Petersgraben 4, 4031 Basel, Switzerland; and Magnetic Resonance, Siemens
Healthcare, Erlangen, Germany (D.G.)
| | - Jens Bremerich
- From the Department of Radiology (M.S., D.J.W., J.V., H.C.B., J.B.,
F.S., M.P.) and Clinic of Cardiology (P.H., M.J.Z.), University Hospital Basel,
Petersgraben 4, 4031 Basel, Switzerland; and Magnetic Resonance, Siemens
Healthcare, Erlangen, Germany (D.G.)
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4
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Ramachandran A, Hussain HK, Gulani V, Kelsey L, Mendiratta-Lala M, Richardson J, Masotti M, Dudek N, Morehouse J, Panagis KR, Wright K, Seiberlich N. Abdominal MRI on a Commercial 0.55T System: Initial Evaluation and Comparison to Higher Field Strengths. Acad Radiol 2024; 31:3177-3190. [PMID: 38320946 DOI: 10.1016/j.acra.2024.01.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 01/09/2024] [Accepted: 01/09/2024] [Indexed: 02/08/2024]
Abstract
RATIONALE AND OBJECTIVES This study aims to assess the quality of abdominal MR images acquired on a commercial 0.55T scanner and compare these images with those acquired on conventional 1.5T/3T scanners in both healthy subjects and patients. MATERIALS AND METHODS Fifteen healthy subjects and 52 patients underwent abdominal Magnetic Resonance Imaging at 0.55T. Images were also collected in healthy subjects at 1.5T, and comparison 1.5/3T images identified for 28 of the 52 patients. Image quality was rated by two radiologists on a 4-point Likert scale. Readers were asked whether they could answer the clinical question for patient studies. Wilcoxon signed-rank test was used to test for significant differences in image ratings and acquisition times, and inter-reader reliability was computed. RESULTS The overall image quality of all sequences at 0.55T were rated as acceptable in healthy subjects. Sequences were modified to improve signal-to-noise ratio and reduce artifacts and deployed for clinical use; 52 patients were enrolled in this study. Radiologists were able to answer the clinical question in 52 (reader 1) and 46 (reader 2) of the patient cases. Average image quality was considered to be diagnostic (>3) for all sequences except arterial phase FS 3D T1w gradient echo (GRE) and 3D magnetic resonance cholangiopancreatography for one reader. In comparison to higher field images, significantly lower scores were given to 0.55T IP 2D GRE and arterial phase FS 3D T1w GRE, and significantly higher scores to diffusion-weighted echo planar imaging at 0.55T; other sequences were equivalent. The average scan time at 0.55T was 54 ± 10 minutes vs 36 ± 11 minutes at higher field strengths (P < .001). CONCLUSION Diagnostic-quality abdominal MR images can be obtained on a commercial 0.55T scanner at a longer overall acquisition time compared to higher field systems, although some sequences may benefit from additional optimization.
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Affiliation(s)
| | - Hero K Hussain
- Department of Radiology, University of Michigan, Ann Arbor, MI 48109
| | - Vikas Gulani
- Department of Radiology, University of Michigan, Ann Arbor, MI 48109
| | - Lauren Kelsey
- Department of Radiology, University of Michigan, Ann Arbor, MI 48109
| | | | - Jacob Richardson
- Department of Radiology, University of Michigan, Ann Arbor, MI 48109
| | - Maria Masotti
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan
| | - Nancy Dudek
- Department of Radiology, University of Michigan, Ann Arbor, MI 48109
| | - Joel Morehouse
- Department of Radiology, University of Michigan, Ann Arbor, MI 48109
| | | | - Katherine Wright
- Department of Radiology, University of Michigan, Ann Arbor, MI 48109
| | - Nicole Seiberlich
- Department of Radiology, University of Michigan, Ann Arbor, MI 48109.
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5
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Gunasekaran S, Szava-Kovats A, Battey T, Gross J, Picano E, Raman SV, Lee E, Bissell MM, Alasnag M, Campbell-Washburn AE, Hanneman K. Cardiovascular Imaging, Climate Change, and Environmental Sustainability. Radiol Cardiothorac Imaging 2024; 6:e240135. [PMID: 38900024 PMCID: PMC11211952 DOI: 10.1148/ryct.240135] [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] [Received: 03/29/2024] [Revised: 05/03/2024] [Accepted: 05/31/2024] [Indexed: 06/21/2024]
Abstract
Environmental exposures including poor air quality and extreme temperatures are exacerbated by climate change and are associated with adverse cardiovascular outcomes. Concomitantly, the delivery of health care generates substantial atmospheric greenhouse gas (GHG) emissions contributing to the climate crisis. Therefore, cardiac imaging teams must be aware not only of the adverse cardiovascular health effects of climate change, but also the downstream environmental ramifications of cardiovascular imaging. The purpose of this review is to highlight the impact of climate change on cardiovascular health, discuss the environmental impact of cardiovascular imaging, and describe opportunities to improve environmental sustainability of cardiac MRI, cardiac CT, echocardiography, cardiac nuclear imaging, and invasive cardiovascular imaging. Overarching strategies to improve environmental sustainability in cardiovascular imaging include prioritizing imaging tests with lower GHG emissions when more than one test is appropriate, reducing low-value imaging, and turning equipment off when not in use. Modality-specific opportunities include focused MRI protocols and low-field-strength applications, iodine contrast media recycling programs in cardiac CT, judicious use of US-enhancing agents in echocardiography, improved radiopharmaceutical procurement and waste management in nuclear cardiology, and use of reusable supplies in interventional suites. Finally, future directions and research are highlighted, including life cycle assessments over the lifespan of cardiac imaging equipment and the impact of artificial intelligence tools. Keywords: Heart, Safety, Sustainability, Cardiovascular Imaging Supplemental material is available for this article. © RSNA, 2024.
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Affiliation(s)
- Suvai Gunasekaran
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Andrew Szava-Kovats
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Thomas Battey
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Jonathan Gross
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Eugenio Picano
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Subha V. Raman
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Emil Lee
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Malenka M. Bissell
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Mirvat Alasnag
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Adrienne E. Campbell-Washburn
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
| | - Kate Hanneman
- From the Biomedical Imaging Research Institute, Cedars-Sinai Medical
Center, Los Angeles, Calif (S.G.); Department of Radiology, Feinberg School of
Medicine, Northwestern University, Chicago, Ill (S.G.); Department of Nuclear
Medicine, Peter Lougheed Hospital, Alberta Health Services, Calgary, Canada
(A.S.K.); Department of Radiology, University of Calgary, Calgary, Canada
(A.S.K.); Department of Radiology & Medical Imaging, University of
Virginia, Charlottesville, Va (T.B.); Department of Radiology, Texas
Children’s Hospital, Baylor School of Medicine, Houston, Tex (J.G.);
Division of Cardiology, University Clinical Center of Serbia, University of
Belgrade, Belgrade, Serbia (E.P.); OhioHealth, Columbus, Ohio (S.V.R.); Langley
Memorial Hospital, British Columbia, Canada (E.L.); Department of Biomedical
Imaging Science, University of Leeds, Leeds, United Kingdom (M.M.B.); Cardiac
Center, King Fahad Armed Forces Hospital, Jeddah, Saudi Arabia (M.A.);
Cardiovascular Branch, Division of Intramural Research, National Heart, Lung,
and Blood Institute, National Institutes of Health, Bethesda, Md (A.E.C.W.);
Joint Department of Medical Imaging, Peter Munk Cardiac Centre and Toronto
General Hospital Research Institute, University Medical Imaging Toronto,
University Health Network (UHN), 585 University Avenue, 1 PMB-298, Toronto, ON,
Canada M5G 2N2 (K.H.); and Department of Medical Imaging, University of Toronto,
Toronto, Canada (K.H.)
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6
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Wan C, He W, Xu Z. Water-Fat Separation for the Knee on a 50 mT Portable MRI Scanner. IEEE Trans Biomed Eng 2024; 71:1687-1696. [PMID: 38150336 DOI: 10.1109/tbme.2023.3347441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2023]
Abstract
OBJECTIVE The Dixon method is frequently employed in clinical and scientific research for fat suppression, because it has lower sensitivity to static magnetic field inhomogeneity compared to chemical shift selective saturation or its variants and maintains image signal-to-noise ratio (SNR). Recently, research on very-low-field (VLF < 100 mT) magnetic resonance imaging (MRI) has regained popularity. However, there is limited literature on water-fat separation in VLF MRI. Here, we present a modified two-point Dixon method specifically designed for VLF MRI. METHODS Most experiments were performed on a homemade 50 mT portable MRI scanner. The receiving coil adopted a homemade quadrature receiving coil. The data were acquired using spin-echo and gradient-echo sequences. We considered the T2* effect, and added priori information to existing two-point Dixon method. Then, the method used regional iterative phasor extraction (RIPE) to extract the error phasor. Finally, least squares solutions for water and fat were obtained and fat signal fraction was calculated. RESULTS For phantom evaluation, water-only and fat-only images were obtained and the local fat signal fractions were calculated, with two samples being 0.94 and 0.93, respectively. For knee imaging, cartilage, muscle and fat could be clearly distinguished. The water-only images were able to highlight areas such as cartilage that could not be easily distinguished without separation. CONCLUSION This work has demonstrated the feasibility of using a 50 mT MRI scanner for water-fat separation. SIGNIFICANCE To the best of our knowledge, this is the first reported result of water-fat separation at a 50 mT portable MRI scanner.
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7
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Dietzel M, Laun FB, Heiß R, Wenkel E, Bickelhaupt S, Hack C, Uder M, Ohlmeyer S. Initial experience with a next-generation low-field MRI scanner: Potential for breast imaging? Eur J Radiol 2024; 173:111352. [PMID: 38330534 DOI: 10.1016/j.ejrad.2024.111352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 01/24/2024] [Accepted: 01/29/2024] [Indexed: 02/10/2024]
Abstract
PURPOSE Broader clinical adoption of breast magnetic resonance imaging (MRI) faces challenges such as limited availability and high procedural costs. Low-field technology has shown promise in addressing these challenges. We report our initial experience using a next-generation scanner for low-field breast MRI at 0.55T. METHODS This initial cases series was part of an institutional review board-approved prospective study using a 0.55T scanner (MAGNETOM Free.Max, Siemens Healthcare, Erlangen/Germany: height < 2 m, weight < 3.2 tons, no quench pipe) equipped with a seven-channel breast coil (Noras, Höchberg/Germany). A multiparametric breast MRI protocol consisting of dynamic T1-weighted, T2-weighted, and diffusion-weighted sequences was optimized for 0.55T. Two radiologists with 12 and 20 years of experience in breast MRI evaluated the examinations. RESULTS Twelve participants (mean age: 55.3 years, range: 36-78 years) were examined. The image quality was diagnostic in all examinations and not impaired by relevant artifacts. Typical imaging phenotypes were visualized. The scan time for a complete, non-abbreviated breast MRI protocol ranged from 10:30 to 18:40 min. CONCLUSION This initial case series suggests that low-field breast MRI is feasible at diagnostic image quality within an acceptable examination time.
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Affiliation(s)
- Matthias Dietzel
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany.
| | - Frederik B Laun
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany.
| | - Rafael Heiß
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany.
| | - Evelyn Wenkel
- Radiologie München, Burgstrasse 7, 80331 München, Germany.
| | - Sebastian Bickelhaupt
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany.
| | - Carolin Hack
- Department of Gynecology, Erlangen University Hospital, Friedrich Alexander University of Erlangen-Nuremberg, Comprehensive Cancer Center Erlangen-EMN, Universitätsstraße 21/23, 91054 Erlangen, Germany.
| | - Michael Uder
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany.
| | - Sabine Ohlmeyer
- Department of Radiology, University Hospital Erlangen, Maximiliansplatz 3, 91054 Erlangen, Germany.
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8
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Campbell-Washburn AE, Varghese J, Nayak KS, Ramasawmy R, Simonetti OP. Cardiac MRI at Low Field Strengths. J Magn Reson Imaging 2024; 59:412-430. [PMID: 37530545 PMCID: PMC10834858 DOI: 10.1002/jmri.28890] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 06/16/2023] [Accepted: 06/16/2023] [Indexed: 08/03/2023] Open
Abstract
Cardiac MR imaging is well established for assessment of cardiovascular structure and function, myocardial scar, quantitative flow, parametric mapping, and myocardial perfusion. Despite the clear evidence supporting the use of cardiac MRI for a wide range of indications, it is underutilized clinically. Recent developments in low-field MRI technology, including modern data acquisition and image reconstruction methods, are enabling high-quality low-field imaging that may improve the cost-benefit ratio for cardiac MRI. Studies to-date confirm that low-field MRI offers high measurement concordance and consistent interpretation with clinical imaging for several routine sequences. Moreover, low-field MRI may enable specific new clinical opportunities for cardiac imaging such as imaging near metal implants, MRI-guided interventions, combined cardiopulmonary assessment, and imaging of patients with severe obesity. In this review, we discuss the recent progress in low-field cardiac MRI with a focus on technical developments and early clinical validation studies. EVIDENCE LEVEL: 5 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Adrienne E Campbell-Washburn
- Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda MD USA
| | - Juliet Varghese
- Department of Biomedical Engineering, The Ohio State University, Columbus, OH, USA
| | - Krishna S Nayak
- Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA
- Alfred Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA
| | - Rajiv Ramasawmy
- Cardiovascular Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda MD USA
| | - Orlando P Simonetti
- Division of Cardiovascular Medicine, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
- Department of Radiology, The Ohio State University, Columbus, Ohio, USA
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9
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Tian Y, Nayak KS. New clinical opportunities of low-field MRI: heart, lung, body, and musculoskeletal. MAGMA (NEW YORK, N.Y.) 2024; 37:1-14. [PMID: 37902898 PMCID: PMC10876830 DOI: 10.1007/s10334-023-01123-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 09/28/2023] [Accepted: 10/05/2023] [Indexed: 11/01/2023]
Abstract
Contemporary whole-body low-field MRI scanners (< 1 T) present new and exciting opportunities for improved body imaging. The fundamental reason is that the reduced off-resonance and reduced SAR provide substantially increased flexibility in the design of MRI pulse sequences. Promising body applications include lung parenchyma imaging, imaging adjacent to metallic implants, cardiac imaging, and dynamic imaging in general. The lower cost of such systems may make MRI favorable for screening high-risk populations and population health research, and the more open configurations allowed may prove favorable for obese subjects and for pregnant women. This article summarizes promising body applications for contemporary whole-body low-field MRI systems, with a focus on new platforms developed within the past 5 years. This is an active area of research, and one can expect many improvements as MRI physicists fully explore the landscape of pulse sequences that are feasible, and as clinicians apply these to patient populations.
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Affiliation(s)
- Ye Tian
- Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, 3740 McClintock Ave, EEB 406, Los Angeles, CA, 90089-2564, USA.
| | - Krishna S Nayak
- Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, 3740 McClintock Ave, EEB 406, Los Angeles, CA, 90089-2564, USA
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10
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Seemann F, Heiberg E, Bruce CG, Khan JM, Potersnak A, Ramasawmy R, Carlsson M, Arheden H, Lederman RJ, Campbell-Washburn AE. Non-invasive pressure-volume loops using the elastance model and CMR: a porcine validation at transient pre-loads. EUROPEAN HEART JOURNAL. IMAGING METHODS AND PRACTICE 2024; 2:qyae016. [PMID: 38645798 PMCID: PMC11026081 DOI: 10.1093/ehjimp/qyae016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 02/28/2024] [Indexed: 04/23/2024]
Abstract
Aims Pressure-volume (PV) loops have utility in the evaluation of cardiac pathophysiology but require invasive measurements. Recently, a time-varying elastance model to derive PV loops non-invasively was proposed, using left ventricular (LV) volume by cardiovascular magnetic resonance (CMR) and brachial cuff pressure as inputs. Validation was performed using CMR and pressure measurements acquired on the same day, but not simultaneously, and without varying pre-loads. This study validates the non-invasive elastance model used to estimate PV loops at varying pre-loads, compared with simultaneous measurements of invasive pressure and volume from real-time CMR, acquired concurrent to an inferior vena cava (IVC) occlusion. Methods and results We performed dynamic PV loop experiments under CMR guidance in 15 pigs (n = 7 naïve, n = 8 with ischaemic cardiomyopathy). Pre-load was altered by IVC occlusion, while simultaneously acquiring invasive LV pressures and volumes from real-time CMR. Pairing pressure and volume signals yielded invasive PV loops, and model-based PV loops were derived using real-time LV volumes. Haemodynamic parameters derived from invasive and model-based PV loops were compared. Across 15 pigs, 297 PV loops were recorded. Intra-class correlation coefficient (ICC) agreement was excellent between model-based and invasive parameters: stroke work (bias = 0.007 ± 0.03 J, ICC = 0.98), potential energy (bias = 0.02 ± 0.03 J, ICC = 0.99), ventricular energy efficiency (bias = -0.7 ± 2.7%, ICC = 0.98), contractility (bias = 0.04 ± 0.1 mmHg/mL, ICC = 0.97), and ventriculoarterial coupling (bias = 0.07 ± 0.15, ICC = 0.99). All haemodynamic parameters differed between naïve and cardiomyopathy animals (P < 0.05). The invasive vs. model-based PV loop dice similarity coefficient was 0.88 ± 0.04. Conclusion An elastance model-based estimation of PV loops and associated haemodynamic parameters provided accurate measurements at transient loading conditions compared with invasive PV loops.
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Affiliation(s)
- Felicia Seemann
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, Building 10 Rm B1D219, Bethesda, MD 20892, USA
| | - Einar Heiberg
- Department of Clinical Sciences Lund, Clinical Physiology, Skane University Hospital, Lund University, Entrégatan 7, 221 85 Lund, Sweden
| | - Christopher G Bruce
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, Building 10 Rm B1D219, Bethesda, MD 20892, USA
| | - Jaffar M Khan
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, Building 10 Rm B1D219, Bethesda, MD 20892, USA
| | - Amanda Potersnak
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, Building 10 Rm B1D219, Bethesda, MD 20892, USA
| | - Rajiv Ramasawmy
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, Building 10 Rm B1D219, Bethesda, MD 20892, USA
| | - Marcus Carlsson
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, Building 10 Rm B1D219, Bethesda, MD 20892, USA
| | - Håkan Arheden
- Department of Clinical Sciences Lund, Clinical Physiology, Skane University Hospital, Lund University, Entrégatan 7, 221 85 Lund, Sweden
| | - Robert J Lederman
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, Building 10 Rm B1D219, Bethesda, MD 20892, USA
| | - Adrienne E Campbell-Washburn
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, 10 Center Drive, Building 10 Rm B1D219, Bethesda, MD 20892, USA
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11
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van Zandwijk JK, Schuurmann RCL, Haken BT, Stassen CM, Geelkerken RH, de Vries JPPM, Simonis FFJ. Endograft position and endoleak detection after endovascular abdominal aortic repair with low-field tiltable MRI: a feasibility study. Eur Radiol Exp 2023; 7:82. [PMID: 38123829 PMCID: PMC10733271 DOI: 10.1186/s41747-023-00395-0] [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] [Received: 08/01/2023] [Accepted: 10/11/2023] [Indexed: 12/23/2023] Open
Abstract
BACKGROUND Abdominal aortic endoleaks after endovascular aneurysm repair might be position-dependent, therefore undetectable using supine imaging. We aimed to determine the feasibility and benefit of using a low-field tiltable magnetic resonance imaging (MRI) scanner allowing to study patients who can be imaged in both supine and upright positions of endoleaks. METHODS Ten EVAR patients suspected of endoleak based on ultrasound examination were prospectively included. MRI in upright and supine positions was compared with routine supine computed tomography angiography (CTA). Analysis was performed through (1) subjective image quality assessment by three observers, (2) landmark registration between MRI and CTA scans, (3) Euclidean distances between renal and endograft landmarks, and (4) evaluation of endoleak detection on MRI by a consensus panel. Statistical analysis was performed by one-way repeated measures analysis of variance. RESULTS The image quality of upright/supine MRI was inferior compared to CTA. Median differences in both renal and endograft landmarks were approximately 6-7 mm between upright and supine MRI and 5-6 mm between supine MRI and CTA. In the proximal sealing zone of the endograft, no differences were found among all three scan types (p = 0.264). Endoleak detection showed agreement between MRI and CTA in 50% of the cases, with potential added value in only one patient. CONCLUSIONS The benefit of low-field upright MRI for endoleak detection was limited. While MRI assessment was non-inferior to standard CTA in detecting endoleaks in selected cases, improved hardware and sequences are needed to explore the potential of upright MRI in patients with endoleaks. RELEVANCE STATEMENT Upright low-field MRI has limited clinical value in detecting position-dependent endoleaks; improvements are required to fulfil its potential as a complementary modality in this clinical setting. KEY POINTS • Upright MRI shows potential for imaging endoleaks in aortic aneurysm patients in different positions. • The image quality of upright MRI is inferior to current techniques. • Upright MRI complements CTA, but lacks accurate deformation measurements for clinical use. • Advancements in hardware and imaging sequences are needed to fully utilise upright MRI capabilities.
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Affiliation(s)
- Jordy K van Zandwijk
- Magnetic Detection & Imaging, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
- Department of Vascular Surgery, Medisch Spectrum Twente, Enschede, The Netherlands.
| | - Richte C L Schuurmann
- Department of Surgery, Division of Vascular Surgery, University Medical Center Groningen, Groningen, The Netherlands
- Multimodality Medical Imaging Group, Technical Medical Centre, University of Twente, Enschede, The Netherlands
| | - Bennie Ten Haken
- Magnetic Detection & Imaging, Technical Medical Centre, University of Twente, Enschede, The Netherlands
| | - Chrit M Stassen
- Department of Radiology, Ziekenhuisgroep Twente, Hengelo, The Netherlands
| | - Robert H Geelkerken
- Department of Vascular Surgery, Medisch Spectrum Twente, Enschede, The Netherlands
- Multimodality Medical Imaging Group, Technical Medical Centre, University of Twente, Enschede, The Netherlands
| | - Jean-Paul P M de Vries
- Department of Surgery, Division of Vascular Surgery, University Medical Center Groningen, Groningen, The Netherlands
| | - Frank F J Simonis
- Magnetic Detection & Imaging, Technical Medical Centre, University of Twente, Enschede, The Netherlands
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12
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Peng P, Yue X, Tang L, Wu X, Deng Q, Wu T, Cai L, Liu Q, Xu J, Huang X, Chen Y, Diao K, Sun J. Feasibility of Free-Breathing, Non-ECG-Gated, Black-Blood Cine Magnetic Resonance Images With Multitasking in Measuring Left Ventricular Function Indices. Korean J Radiol 2023; 24:1221-1231. [PMID: 38016681 PMCID: PMC10700987 DOI: 10.3348/kjr.2023.0377] [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] [Received: 01/18/2023] [Revised: 09/21/2023] [Accepted: 09/25/2023] [Indexed: 11/30/2023] Open
Abstract
OBJECTIVE To clinically validate the feasibility and accuracy of cine images acquired through the multitasking method, with no electrocardiogram gating and free-breathing, in measuring left ventricular (LV) function indices by comparing them with those acquired through the balanced steady-state free precession (bSSFP) method, with multiple breath-holds and electrocardiogram gating. MATERIALS AND METHODS Forty-three healthy volunteers (female:male, 30:13; mean age, 23.1 ± 2.3 years) and 36 patients requiring an assessment of LV function for various clinical indications (female:male, 22:14; 57.8 ± 11.3 years) were enrolled in this prospective study. Each participant underwent cardiac magnetic resonance imaging (MRI) using the multiple breath-hold bSSFP method and free-breathing multitasking method. LV function parameters were measured for both MRI methods. Image quality was assessed through subjective image quality scores (1 to 5) and calculation of the contrast-to-noise ratio (CNR) between the myocardium and blood pool. Differences between the two MRI methods were analyzed using the Bland-Altman plot, paired t-test, or Wilcoxon signed-rank test, as appropriate. RESULTS LV ejection fraction (LVEF) was not significantly different between the two MRI methods (P = 0.222 in healthy volunteers and P = 0.343 in patients). LV end-diastolic mass was slightly overestimated with multitasking in both healthy volunteers (multitasking vs. bSSFP, 60.5 ± 10.7 g vs. 58.0 ± 10.4 g, respectively; P < 0.001) and patients (69.4 ± 18.1 g vs. 66.8 ± 18.0 g, respectively; P = 0.003). Acceptable and comparable image quality was achieved for both MRI methods (multitasking vs. bSSFP, 4.5 ± 0.7 vs. 4.6 ± 0.6, respectively; P = 0.203). The CNR between the myocardium and blood pool showed no significant differences between the two MRI methods (18.89 ± 6.65 vs. 18.19 ± 5.83, respectively; P = 0.480). CONCLUSION Multitasking-derived cine images obtained without electrocardiogram gating and breath-holding achieved similar image quality and accurate quantification of LVEF in healthy volunteers and patients.
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Affiliation(s)
- Pengfei Peng
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xun Yue
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lu Tang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xi Wu
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qiao Deng
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Tao Wu
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lei Cai
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Qi Liu
- UIH America, Inc., Houston, TX, USA
| | - Jian Xu
- UIH America, Inc., Houston, TX, USA
| | - Xiaoqi Huang
- Department of Radiology and Huaxi MR Research Center (HMRRC), Functional and Molecular lmaging Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Research Unit of Psychoradiology, Chinese Academy of Medical Sciences, Chengdu, Sichuan, China
| | - Yucheng Chen
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Kaiyue Diao
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
| | - Jiayu Sun
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
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13
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Seemann F, Javed A, Khan JM, Bruce CG, Chae R, Yildirim DK, Potersnak A, Wang H, Baute S, Ramasawmy R, Lederman RJ, Campbell-Washburn AE. Dynamic lung water MRI during exercise stress. Magn Reson Med 2023; 90:1396-1413. [PMID: 37288601 PMCID: PMC10521349 DOI: 10.1002/mrm.29716] [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] [Received: 02/07/2023] [Revised: 04/06/2023] [Accepted: 05/09/2023] [Indexed: 06/09/2023]
Abstract
PURPOSE Exercise-induced dyspnea caused by lung water is an early heart failure symptom. Dynamic lung water quantification during exercise is therefore of interest to detect early stage disease. This study developed a time-resolved 3D MRI method to quantify transient lung water dynamics during rest and exercise stress. METHODS The method was evaluated in 15 healthy subjects and 2 patients with heart failure imaged in transitions between rest and exercise, and in a porcine model of dynamic extravascular lung water accumulation through mitral regurgitation (n = 5). Time-resolved images were acquired at 0.55T using a continuous 3D stack-of-spirals proton density weighted sequence with 3.5 mm isotropic resolution, and derived using a motion corrected sliding-window reconstruction with 90-s temporal resolution in 20-s increments. A supine MRI-compatible pedal ergometer was used for exercise. Global and regional lung water density (LWD) and percent change in LWD (ΔLWD) were automatically quantified. RESULTS A ΔLWD increase of 3.3 ± 1.5% was achieved in the animals. Healthy subjects developed a ΔLWD of 7.8 ± 5.0% during moderate exercise, peaked at 16 ± 6.8% during vigorous exercise, and remained unchanged over 10 min at rest (-1.4 ± 3.5%, p = 0.18). Regional LWD were higher posteriorly compared the anterior lungs (rest: 33 ± 3.7% vs 20 ± 3.1%, p < 0.0001; peak exercise: 36 ± 5.5% vs 25 ± 4.6%, p < 0.0001). Accumulation rates were slower in patients than healthy subjects (2.0 ± 0.1%/min vs 2.6 ± 0.9%/min, respectively), whereas LWD were similar at rest (28 ± 10% and 28 ± 2.9%) and peak exercise (ΔLWD 17 ± 10% vs 16 ± 6.8%). CONCLUSION Lung water dynamics can be quantified during exercise using continuous 3D MRI and a sliding-window image reconstruction.
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Affiliation(s)
- Felicia Seemann
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Ahsan Javed
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Jaffar M Khan
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Christopher G Bruce
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Rachel Chae
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Dursun Korel Yildirim
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Amanda Potersnak
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Haiyan Wang
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Scott Baute
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Rajiv Ramasawmy
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Robert J Lederman
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Adrienne E Campbell-Washburn
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
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14
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Campbell-Washburn AE, Keenan KE, Hu P, Mugler JP, Nayak KS, Webb AG, Obungoloch J, Sheth KN, Hennig J, Rosen MS, Salameh N, Sodickson DK, Stein JM, Marques JP, Simonetti OP. Low-field MRI: A report on the 2022 ISMRM workshop. Magn Reson Med 2023; 90:1682-1694. [PMID: 37345725 PMCID: PMC10683532 DOI: 10.1002/mrm.29743] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 04/21/2023] [Accepted: 05/17/2023] [Indexed: 06/23/2023]
Abstract
In March 2022, the first ISMRM Workshop on Low-Field MRI was held virtually. The goals of this workshop were to discuss recent low field MRI technology including hardware and software developments, novel methodology, new contrast mechanisms, as well as the clinical translation and dissemination of these systems. The virtual Workshop was attended by 368 registrants from 24 countries, and included 34 invited talks, 100 abstract presentations, 2 panel discussions, and 2 live scanner demonstrations. Here, we report on the scientific content of the Workshop and identify the key themes that emerged. The subject matter of the Workshop reflected the ongoing developments of low-field MRI as an accessible imaging modality that may expand the usage of MRI through cost reduction, portability, and ease of installation. Many talks in this Workshop addressed the use of computational power, efficient acquisitions, and contemporary hardware to overcome the SNR limitations associated with low field strength. Participants discussed the selection of appropriate clinical applications that leverage the unique capabilities of low-field MRI within traditional radiology practices, other point-of-care settings, and the broader community. The notion of "image quality" versus "information content" was also discussed, as images from low-field portable systems that are purpose-built for clinical decision-making may not replicate the current standard of clinical imaging. Speakers also described technical challenges and infrastructure challenges related to portability and widespread dissemination, and speculated about future directions for the field to improve the technology and establish clinical value.
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Affiliation(s)
- Adrienne E Campbell-Washburn
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Kathryn E Keenan
- Physical Measurement Laboratory, National Institute of Standards and Technology, Boulder, Colorado, USA
| | - Peng Hu
- School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
| | - John P Mugler
- Department of Radiology & Medical Imaging, Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
| | - Krishna S Nayak
- Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA
- Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, USA
| | - Andrew G Webb
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Kevin N Sheth
- Division of Neurocritical Care and Emergency Neurology, Departments of Neurology and Neurosurgery, and the Yale Center for Brain and Mind Health, Yale School of Medicine, New Haven, Connecticut, USA
| | - Jürgen Hennig
- Dept.of Radiology, Medical Physics, University Medical Center Freiburg, Freiburg, Germany
- Center for Basics in NeuroModulation (NeuroModulBasics), Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Matthew S Rosen
- Massachusetts General Hospital, A. A. Martinos Center for Biomedical Imaging, Boston, Massachusetts, USA
- Department of Physics, Harvard University, Cambridge, Massachusetts, USA
| | - Najat Salameh
- Center for Adaptable MRI Technology (AMT Center), Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Daniel K Sodickson
- Department of Radiology, NYU Langone Health, New York, New York, USA
- Center for Advanced Imaging Innovation and Research, NYU Langone Health, New York, New York, USA
| | - Joel M Stein
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - José P Marques
- Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, The Netherlands
| | - Orlando P Simonetti
- Division of Cardiovascular Medicine, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, Ohio, USA
- Department of Radiology, The Ohio State University, Columbus, Ohio, USA
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15
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Hamilton JI, Truesdell W, Galizia M, Burris N, Agarwal P, Seiberlich N. A low-rank deep image prior reconstruction for free-breathing ungated spiral functional CMR at 0.55 T and 1.5 T. MAGMA (NEW YORK, N.Y.) 2023; 36:451-464. [PMID: 37043121 PMCID: PMC11017470 DOI: 10.1007/s10334-023-01088-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 03/02/2023] [Accepted: 04/01/2023] [Indexed: 04/13/2023]
Abstract
OBJECTIVE This study combines a deep image prior with low-rank subspace modeling to enable real-time (free-breathing and ungated) functional cardiac imaging on a commercial 0.55 T scanner. MATERIALS AND METHODS The proposed low-rank deep image prior (LR-DIP) uses two u-nets to generate spatial and temporal basis functions that are combined to yield dynamic images, with no need for additional training data. Simulations and scans in 13 healthy subjects were performed at 0.55 T and 1.5 T using a golden angle spiral bSSFP sequence with images reconstructed using [Formula: see text]-ESPIRiT, low-rank plus sparse (L + S) matrix completion, and LR-DIP. Cartesian breath-held ECG-gated cine images were acquired for reference at 1.5 T. Two cardiothoracic radiologists rated images on a 1-5 scale for various categories, and LV function measurements were compared. RESULTS LR-DIP yielded the lowest errors in simulations, especially at high acceleration factors (R [Formula: see text] 8). LR-DIP ejection fraction measurements agreed with 1.5 T reference values (mean bias - 0.3% at 0.55 T and - 0.2% at 1.5 T). Compared to reference images, LR-DIP images received similar ratings at 1.5 T (all categories above 3.9) and slightly lower at 0.55 T (above 3.4). CONCLUSION Feasibility of real-time functional cardiac imaging using a low-rank deep image prior reconstruction was demonstrated in healthy subjects on a commercial 0.55 T scanner.
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Affiliation(s)
- Jesse I Hamilton
- Department of Radiology, University of Michigan, 1301 Catherine St, Ann Arbor, MI, 48109-1590, USA.
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA.
| | - William Truesdell
- Department of Radiology, University of Michigan, 1301 Catherine St, Ann Arbor, MI, 48109-1590, USA
| | - Mauricio Galizia
- Department of Radiology, University of Michigan, 1301 Catherine St, Ann Arbor, MI, 48109-1590, USA
| | - Nicholas Burris
- Department of Radiology, University of Michigan, 1301 Catherine St, Ann Arbor, MI, 48109-1590, USA
| | - Prachi Agarwal
- Department of Radiology, University of Michigan, 1301 Catherine St, Ann Arbor, MI, 48109-1590, USA
| | - Nicole Seiberlich
- Department of Radiology, University of Michigan, 1301 Catherine St, Ann Arbor, MI, 48109-1590, USA
- Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI, USA
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16
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Webb A, O'Reilly T. Tackling SNR at low-field: a review of hardware approaches for point-of-care systems. MAGMA (NEW YORK, N.Y.) 2023:10.1007/s10334-023-01100-3. [PMID: 37202656 PMCID: PMC10386948 DOI: 10.1007/s10334-023-01100-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 05/03/2023] [Accepted: 05/09/2023] [Indexed: 05/20/2023]
Abstract
OBJECTIVE To review the major hardware components of low-field point-of-care MRI systems which affect the overall sensitivity. METHODS Designs for the following components are reviewed and analyzed: magnet, RF coils, transmit/receive switches, preamplifiers, data acquisition system, and methods for grounding and mitigating electromagnetic interference. RESULTS High homogeneity magnets can be produced in a variety of different designs including C- and H-shaped as well as Halbach arrays. Using Litz wire for RF coil designs enables unloaded Q values of ~ 400 to be reached, with body loss representing about 35% of the total system resistance. There are a number of different schemes to tackle issues arising from the low coil bandwidth with respect to the imaging bandwidth. Finally, the effects of good RF shielding, proper electrical grounding, and effective electromagnetic interference reduction can lead to substantial increases in image signal-to-noise ratio. DISCUSSION There are many different magnet and RF coil designs in the literature, and to enable meaningful comparisons and optimizations to be performed it would be very helpful to determine a standardized set of sensitivity measures, irrespective of design.
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Affiliation(s)
- Andrew Webb
- Department of Radiology, C.J. Gorter MRI Center, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands.
| | - Thomas O'Reilly
- Department of Radiology, C.J. Gorter MRI Center, Leiden University Medical Center, 2333 ZA, Leiden, The Netherlands
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17
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Klein HM. A New Approach to the Improvement of Energy Efficiency in Radiology Practices. ROFO-FORTSCHR RONTG 2023; 195:416-425. [PMID: 36928520 DOI: 10.1055/a-2021-7386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/18/2023]
Abstract
PURPOSE We examined ways to improve energy efficiency in radiology by using regenerative and energy-friendly technology in the construction and operation of two radiological facilities. METHOD In the years 2009 to 2010 an energy-optimized medical center with different clinical disciplines and a radiology practice was built. We used regenerative energy production (photovoltaic system, 29.92 kWp). A heat exchanger was also used to regain thermal energy to support heating of the building, thereby reducing cooling energy consumption. The practice operates a 1.5 T MRI machine and a computed tomography scanner. Derived from our experiences, an open MRI practice was built nearby in 2019. The building was constructed using an energy-saving technique. A photovoltaic system with a 10 kWh lithium-ion battery was installed. The practice operates a 0.35 T open MRI machine. RESULTS Energy optimization of the medical center resulted in an annual CO2 reduction of about 54 % from 153 146 to 70 631 kg/year. Energy costs were reduced by 32.5 %. The heat exchanger proved to be highly efficient. For the open MRI practice, energy consumption in 2020 was 38 810 kWh: 14 800 kWh for the heating/cooling of the building, and 24 010 kWh for the imaging systems and IT. Net energy production of the solar array was 30 846 kWh. Net energy consumption for the whole project was 8397 kWh/year. CO2 production of the practice was 1839 kg CO2/year. CONCLUSION Regenerative energy, energy recuperation, and use of energy-efficient imaging systems can yield considerable improvement of the CO2 footprint in radiology practices. KEY POINTS · Radiology, in particular MRI, has high energy consumption.. · A heat exchanger can regain thermal energy from MRI machines to support room heating.. · Low-field MRI with permanent magnets consumes far less energy.. · Energy optimization results in less CO2 production and lower operation costs.. CITATION FORMAT · Klein HM. A New Approach to the Improvement of Energy Efficiency in Radiology Practices. Fortschr Röntgenstr 2023; DOI: 10.1055/a-2021-7386.
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Affiliation(s)
- Hans-Martin Klein
- Greenscan GmbH, Medizinisches Zentrum am Siegerlandflughafen, Burbach, Germany
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18
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Varghese J, Jin N, Giese D, Chen C, Liu Y, Pan Y, Nair N, Shalaan MT, Khan M, Tong MS, Ahmad R, Han Y, Simonetti OP. Building a comprehensive cardiovascular magnetic resonance exam on a commercial 0.55 T system: A pictorial essay on potential applications. Front Cardiovasc Med 2023; 10:1120982. [PMID: 36937932 PMCID: PMC10014600 DOI: 10.3389/fcvm.2023.1120982] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Accepted: 02/06/2023] [Indexed: 03/05/2023] Open
Abstract
Background Contemporary advances in low-field magnetic resonance imaging systems can potentially widen access to cardiovascular magnetic resonance (CMR) imaging. We present our initial experience in building a comprehensive CMR protocol on a commercial 0.55 T system with a gradient performance of 26 mT/m amplitude and 45 T/m/s slew rate. To achieve sufficient image quality, we adapted standard imaging techniques when possible, and implemented compressed-sensing (CS) based techniques when needed in an effort to compensate for the inherently low signal-to-noise ratio at lower field strength. Methods A prototype CMR exam was built on an 80 cm, ultra-wide bore commercial 0.55 T MR system. Implementation of all components aimed to overcome the inherently lower signal of low-field and the relatively longer echo and repetition times owing to the slower gradients. CS-based breath-held and real-time cine imaging was built utilizing high acceleration rates to meet nominal spatial and temporal resolution recommendations. Similarly, CS 2D phase-contrast cine was implemented for flow. Dark-blood turbo spin echo sequences with deep learning based denoising were implemented for morphology assessment. Magnetization-prepared single-shot myocardial mapping techniques incorporated additional source images. CS-based dynamic contrast-enhanced imaging was implemented for myocardial perfusion and 3D MR angiography. Non-contrast 3D MR angiography was built with electrocardiogram-triggered, navigator-gated magnetization-prepared methods. Late gadolinium enhanced (LGE) tissue characterization methods included breath-held segmented and free-breathing single-shot imaging with motion correction and averaging using an increased number of source images. Proof-of-concept was demonstrated through porcine infarct model, healthy volunteer, and patient scans. Results Reasonable image quality was demonstrated for cardiovascular structure, function, flow, and LGE assessment. Low-field afforded utilization of higher flip angles for cine and MR angiography. CS-based techniques were able to overcome gradient speed limitations and meet spatial and temporal resolution recommendations with imaging times comparable to higher performance scanners. Tissue mapping and perfusion imaging require further development. Conclusion We implemented cardiac applications demonstrating the potential for comprehensive CMR on a novel commercial 0.55 T system. Further development and validation studies are needed before this technology can be applied clinically.
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Affiliation(s)
- Juliet Varghese
- Department of Biomedical Engineering, The Ohio State University, Columbus, OH, United States
| | - Ning Jin
- Cardiovascular MR R&D, Siemens Medical Solutions USA, Malvern, PA, United States
| | - Daniel Giese
- Magnetic Resonance, Siemens Healthcare, Erlangen, Germany
- Institute of Radiology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), University Hospital Erlangen, Erlangen, Germany
| | - Chong Chen
- Department of Biomedical Engineering, The Ohio State University, Columbus, OH, United States
| | - Yingmin Liu
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH, United States
| | - Yue Pan
- Department of Biomedical Engineering, The Ohio State University, Columbus, OH, United States
| | - Nikita Nair
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH, United States
| | - Mahmoud T. Shalaan
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH, United States
| | - Mahmood Khan
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH, United States
- Department of Emergency Medicine, The Ohio State University, Columbus, OH, United States
| | - Matthew S. Tong
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Rizwan Ahmad
- Department of Biomedical Engineering, The Ohio State University, Columbus, OH, United States
| | - Yuchi Han
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH, United States
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
| | - Orlando P. Simonetti
- Department of Biomedical Engineering, The Ohio State University, Columbus, OH, United States
- Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH, United States
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, OH, United States
- Department of Radiology, The Ohio State University, Columbus, OH, United States
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19
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Tian Y, Cui SX, Lim Y, Lee NG, Zhao Z, Nayak KS. Contrast-optimal simultaneous multi-slice bSSFP cine cardiac imaging at 0.55 T. Magn Reson Med 2023; 89:746-755. [PMID: 36198043 PMCID: PMC9712243 DOI: 10.1002/mrm.29472] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 09/06/2022] [Accepted: 09/06/2022] [Indexed: 12/13/2022]
Abstract
PURPOSE To determine if contemporary 0.55 T MRI supports the use of contrast-optimal flip angles (FA) for simultaneous multi-slice (SMS) balanced SSFP (bSSFP) cardiac function assessment, which is impractical at conventional field strengths because of excessive SAR and/or banding artifacts. METHODS Blipped-CAIPI bSSFP was combined with spiral sampling for ventricular function assessment at 0.55 T. Cine movies with single band and SMS factors of 2 and 3 (SMS 2 and 3), and FA ranging from 60° to 160°, were acquired in seven healthy volunteers. Left ventricular blood and myocardial signal intensity (SI) normalized by background noise and blood-myocardium contrast were measured and compared across acquisition settings. RESULTS Myocardial SI was slightly higher in single band than in SMS and decreased with an increasing FA. Blood SI increased as the FA increased for single band, and increment was small for FA ≥120°. Blood SI for SMS 2 and 3 increased with an increasing FA up to ∼100°. Blood-myocardium contrast increased with an increasing FA for single band, peaked at FA = 160° (systole: 28.43, diastole: 29.15), attributed mainly to reduced myocardial SI when FA ≥120°. For SMS 2, contrast peaked at 120° (systole: 21.43, diastole: 19.85). For SMS 3, contrast peaked at 120° in systole (16.62) and 100° in diastole (19.04). CONCLUSIONS Contemporary 0.55 T MR scanners equipped with high-performance gradient systems allow the use of contrast-optimal FA for SMS accelerated bSSFP cine examinations without compromising image quality. The contrast-optimal FA was found to be 140° to 160° for single band and 100° to 120° for SMS 2 and 3.
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Affiliation(s)
- Ye Tian
- Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Sophia X. Cui
- Siemens Medical Solutions USA Inc., Los Angeles, CA, USA
| | - Yongwan Lim
- Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Nam G. Lee
- Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Ziwei Zhao
- Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
| | - Krishna S. Nayak
- Ming Hsieh Department of Electrical and Computer Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA,Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
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20
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Seemann F, Javed A, Chae R, Ramasawmy R, O'Brien K, Baute S, Xue H, Lederman RJ, Campbell-Washburn AE. Imaging gravity-induced lung water redistribution with automated inline processing at 0.55 T cardiovascular magnetic resonance. J Cardiovasc Magn Reson 2022; 24:35. [PMID: 35668497 PMCID: PMC9172183 DOI: 10.1186/s12968-022-00862-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 04/05/2022] [Indexed: 01/18/2024] Open
Abstract
BACKGROUND Quantitative assessment of dynamic lung water accumulation is of interest to unmask latent heart failure. We develop and validate a free-breathing 3D ultrashort echo time (UTE) sequence with automated inline image processing to image changes in lung water density (LWD) using high-performance 0.55 T cardiovascular magnetic resonance (CMR). METHODS Quantitative lung water CMR was performed on 15 healthy subjects using free-breathing 3D stack-of-spirals proton density weighted UTE at 0.55 T. Inline image reconstruction and automated image processing was performed using the Gadgetron framework. A gravity-induced redistribution of LWD was provoked by sequentially acquiring images in the supine, prone, and again supine position. Quantitative validation was performed in a phantom array of vials containing mixtures of water and deuterium oxide. RESULTS The phantom experiment validated the capability of the sequence in quantifying water density (bias ± SD 4.3 ± 4.8%, intraclass correlation coefficient, ICC = 0.97). The average global LWD was comparable between imaging positions (supine 24.7 ± 3.4%, prone 22.7 ± 3.1%, second supine 25.3 ± 3.6%), with small differences between imaging phases (first supine vs prone 2.0%, p < 0.001; first supine vs second supine - 0.6%, p = 0.001; prone vs second supine - 2.7%, p < 0.001). In vivo test-retest repeatability in LWD was excellent (- 0.17 ± 0.91%, ICC = 0.97). A regional LWD redistribution was observed in all subjects when repositioning, with a predominant posterior LWD accumulation when supine, and anterior accumulation when prone (difference in anterior-posterior LWD: supine - 11.6 ± 2.7%, prone 5.5 ± 2.7%, second supine - 11.4 ± 2.9%). Global LWD maps were calculated inline within 23.2 ± 0.3 s following the image reconstruction using the automated pipeline. CONCLUSIONS Redistribution of LWD due to gravitational forces can be depicted and quantified using a validated free-breathing 3D proton density weighted UTE sequence and inline automated image processing pipeline on a high-performance 0.55 T CMR system.
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Affiliation(s)
- Felicia Seemann
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Ahsan Javed
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Rachel Chae
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Rajiv Ramasawmy
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Kendall O'Brien
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Scott Baute
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Hui Xue
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Robert J Lederman
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Adrienne E Campbell-Washburn
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, 20892, USA.
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21
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Qin C, Murali S, Lee E, Supramaniam V, Hausenloy DJ, Obungoloch J, Brecher J, Lin R, Ding H, Akudjedu TN, Anazodo UC, Jagannathan NR, Ntusi NAB, Simonetti OP, Campbell-Washburn AE, Niendorf T, Mammen R, Adeleke S. Sustainable low-field cardiovascular magnetic resonance in changing healthcare systems. Eur Heart J Cardiovasc Imaging 2022; 23:e246-e260. [PMID: 35157038 PMCID: PMC9159744 DOI: 10.1093/ehjci/jeab286] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 12/14/2021] [Indexed: 11/14/2022] Open
Abstract
Cardiovascular disease continues to be a major burden facing healthcare systems worldwide. In the developed world, cardiovascular magnetic resonance (CMR) is a well-established non-invasive imaging modality in the diagnosis of cardiovascular disease. However, there is significant global inequality in availability and access to CMR due to its high cost, technical demands as well as existing disparities in healthcare and technical infrastructures across high-income and low-income countries. Recent renewed interest in low-field CMR has been spurred by the clinical need to provide sustainable imaging technology capable of yielding diagnosticquality images whilst also being tailored to the local populations and healthcare ecosystems. This review aims to evaluate the technical, practical and cost considerations of low field CMR whilst also exploring the key barriers to implementing sustainable MRI in both the developing and developed world.
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Affiliation(s)
- Cathy Qin
- Department of Imaging, Imperial College Healthcare NHS Trust, London, UK
| | - Sanjana Murali
- Department of Imaging, Imperial College Healthcare NHS Trust, London, UK
| | - Elsa Lee
- School of Medicine, Faculty of Medicine, Imperial College London, London, UK
| | | | - Derek J Hausenloy
- Division of Medicine, University College London, London, UK
- Cardiovascular & Metabolic Disorders Program, Duke-National University of Singapore Medical School, Singapore, Singapore
- National Heart Research Institute Singapore, National Heart Centre Singapore, Singapore, Singapore
- Yong Loo Lin School of Medicine, National University Singapore, Singapore, Singapore
- Hatter Cardiovascular Institue, UCL Institute of Cardiovascular Sciences, University College London, London, UK
- Cardiovascular Research Center, College of Medical and Health Sciences, Asia University, Taichung, Taiwan
| | - Johnes Obungoloch
- Department of Biomedical Engineering, Mbarara University of Science and Technology, Mbarara, Uganda
| | | | - Rongyu Lin
- School of Medicine, University College London, London, UK
| | - Hao Ding
- Department of Imaging, Imperial College Healthcare NHS Trust, London, UK
| | - Theophilus N Akudjedu
- Institute of Medical Imaging and Visualisation, Faculty of Health and Social Science, Bournemouth University, Poole, UK
| | | | - Naranamangalam R Jagannathan
- Department of Electrical Engineering, Indian Institute of Technology, Chennai, India
- Department of Radiology, Sri Ramachandra University Medical College, Chennai, India
- Department of Radiology, Chettinad Hospital and Research Institute, Kelambakkam, India
| | - Ntobeko A B Ntusi
- Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, Western Cape, South Africa
| | - Orlando P Simonetti
- Division of Cardiovascular Medicine, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA
- Department of Radiology, College of Medicine, The Ohio State University, Columbus, OH, USA
| | - Adrienne E Campbell-Washburn
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Thoralf Niendorf
- Berlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrück Centre for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Regina Mammen
- Department of Cardiology, The Essex Cardiothoracic Centre, Basildon, UK
| | - Sola Adeleke
- School of Cancer & Pharmaceutical Sciences, King’s College London, Queen Square, London WC1N 3BG, UK
- High Dimensional Neurology, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, University College London, London, UK
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22
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[Low-field magnetic resonance imaging : Just less expensive or completely different?]. Radiologe 2022; 62:385-393. [PMID: 35258684 DOI: 10.1007/s00117-022-00977-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/25/2022] [Indexed: 10/18/2022]
Abstract
Over the years the development of field strength in magnetic resonance imaging (MRI) has continued to increase from the low-field systems in the early years (0.2-0.5 T) to 1.5 T to 3 T to 7 T and more. In the last 2 years, there has been a renewed interest in MRI at lower fields, mainly driven by the development of "dry" superconductive magnets. The following article demonstrates that this renewed interest for lower fields is not a déjà vu purely driven by economic needs. The field strength appears to be from yesterday, but the combination with the tremendous improvements and innovations of all relevant components-gradients, radiofrequency system and especially new algorithms including the use of artificial intelligence (AI)-allow the realization of diagnostically adequate MRI without compromise in patient throughput and efficiency. In addition to the lower field, there are also some inherent advantages, e.g., for MRI of the lung and of metallic implants and especially for interventional MRI. It has already been shown that many of the devices used for interventional procedures (catheters, biopsy needles) can be used at lower fields without costly modifications. In addition, low-field MRI also allows the robust use of highly efficient sampling methods like spiral MRI. It is therefore safe to predict that low-field MRI is not only a cost-efficient compromise, but has the potential to open up new fields of application.
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23
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Manning WJ. 2021 - State of our JCMR. J Cardiovasc Magn Reson 2022; 24:14. [PMID: 35246157 PMCID: PMC8896069 DOI: 10.1186/s12968-021-00840-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 12/14/2021] [Indexed: 11/10/2022] Open
Abstract
There were 89 articles published in the Journal of Cardiovascular Magnetic Resonance (JCMR) in 2020, including 71 original research papers, 5 technical notes, 6 reviews, 4 Society for Cardiovascular Magnetic Resonance (SCMR) position papers/guidelines/protocols and 3 corrections. The volume was up 12.7% from 2019 (n = 79) with a corresponding 17.9% increase in manuscript submissions from 369 to 435. This led to a slight increase in the acceptance rate from 22 to 23%. The quality of the submissions continues to be high. The 2020 JCMR Impact Factor (which is published in June 2020) slightly increased from 5.361 to 5.364 placing us in the top quartile of Society and cardiac imaging journals. Our 5 year impact factor increased from 5.18 to 6.52. Fourteen years ago, the JCMR was at the forefront of medical and medical society journal migration to the Open-Access format. The Open-Access system has dramatically increased the availability and citation of JCMR publications with accesses now exceeding 1.2 M! It takes a village to run a journal. JCMR is blessed to have a group of very dedicated Associate Editors, Guest Editors, Journal Club Editors, and Reviewers. I thank each of them for their efforts to ensure that the review process occurs in a timely and responsible manner. These efforts have allowed the JCMR to continue as the premier journal of our field. My role, and the entire process would not be possible without the dedication and efforts of our new managing editor, Jennifer Rodriguez, whose premier organizational efforts have allowed for streamlining of the review process and marked improvement in our time-to-decision (see later). As I begin my 6th and final year as your editor-in-chief, I thank you for entrusting me with the JCMR editorship. I hope that you will continue to send us your very best, high quality manuscripts for JCMR consideration and that our readers will continue to look to JCMR for the very best/state-of-the-art CMR publications. The editorial process continues to be a tremendously fulfilling experience and the opportunity to review manuscripts that reflect the best in our field remains a great joy and true highlight of my week!
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Affiliation(s)
- Warren J Manning
- Departments of Medicine (Cardiovascular Division) and Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, 02215, USA.
- JCMR Editorial Office, Boston, Massachusetts, 02215, USA.
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24
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Amin EK, Campbell-Washburn A, Ratnayaka K. MRI-Guided Cardiac Catheterization in Congenital Heart Disease: How to Get Started. Curr Cardiol Rep 2022; 24:419-429. [PMID: 35107702 PMCID: PMC8979923 DOI: 10.1007/s11886-022-01659-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/15/2021] [Indexed: 02/07/2023]
Abstract
PURPOSE OF REVIEW Cardiac magnetic resonance imaging provides radiation-free, 3-dimensional soft tissue visualization with adjunct hemodynamic data, making it a promising candidate for image-guided transcatheter interventions. This review focuses on the benefits and background of real-time magnetic resonance imaging (MRI)-guided cardiac catheterization, guidance on starting a clinical program, and recent research developments. RECENT FINDINGS Interventional cardiac magnetic resonance (iCMR) has an established track record with the first entirely MRI-guided cardiac catheterization for congenital heart disease reported nearly 20 years ago. Since then, many centers have embarked upon clinical iCMR programs primarily performing diagnostic MRI-guided cardiac catheterization. There have also been limited reports of successful real-time MRI-guided transcatheter interventions. Growing experience in performing cardiac catheterization in the magnetic resonance environment has facilitated practical workflows appropriate for efficiency-focused cardiac catheterization laboratories. Most exciting developments in imaging technology, MRI-compatible equipment and MRI-guided novel transcatheter interventions have been limited to preclinical research. Many of these research developments are ready for clinical translation. With increasing iCMR clinical experience and translation of preclinical research innovations, the time to make the leap to radiation-free procedures is now.
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Affiliation(s)
- Elena K Amin
- Division of Pediatric Cardiology, UCSF Benioff Children's Hospitals, University of California, San Francisco, San Francisco, CA, USA.
| | - Adrienne Campbell-Washburn
- Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kanishka Ratnayaka
- Division of Pediatric Cardiology, Rady Children's Hospital, University of California, San Diego, 3020 Children's Way, San Diego, CA, USA
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25
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Chandarana H, Bagga B, Huang C, Dane B, Petrocelli R, Bruno M, Keerthivasan M, Grodzki D, Block KT, Stoffel D, Sodickson DK. Diagnostic abdominal MR imaging on a prototype low-field 0.55 T scanner operating at two different gradient strengths. Abdom Radiol (NY) 2021; 46:5772-5780. [PMID: 34415411 DOI: 10.1007/s00261-021-03234-1] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Revised: 07/29/2021] [Accepted: 07/30/2021] [Indexed: 11/29/2022]
Abstract
PURPOSE To develop a protocol for abdominal imaging on a prototype 0.55 T scanner and to benchmark the image quality against conventional 1.5 T exam. METHODS In this prospective IRB-approved HIPAA-compliant study, 10 healthy volunteers were recruited and imaged. A commercial MRI system was modified to operate at 0.55 T (LF) with two different gradient performance levels. Each subject underwent non-contrast abdominal examinations on the 0.55 T scanner utilizing higher gradients (LF-High), lower adjusted gradients (LF-Adjusted), and a conventional 1.5 T scanner. The following pulse sequences were optimized: fat-saturated T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and Dixon T1-weighted imaging (T1WI). Three readers independently evaluated image quality in a blinded fashion on a 5-point Likert scale, with a score of 1 being non-diagnostic and 5 being excellent. An exact paired sample Wilcoxon signed-rank test was used to compare the image quality. RESULTS Diagnostic image quality (overall image quality score ≥ 3) was achieved at LF in all subjects for T2WI, DWI, and T1WI with no more than one unit lower score than 1.5 T. The mean difference in overall image quality score was not significantly different between LF-High and LF-Adjusted for T2WI (95% CI - 0.44 to 0.44; p = 0.98), DWI (95% CI - 0.43 to 0.36; p = 0.92), and for T1 in- and out-of-phase imaging (95%C I - 0.36 to 0.27; p = 0.91) or T1 fat-sat (water only) images (95% CI - 0.24 to 0.18; p = 1.0). CONCLUSION Diagnostic abdominal MRI can be performed on a prototype 0.55 T scanner, either with conventional or with reduced gradient performance, within an acquisition time of 10 min or less.
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Affiliation(s)
- Hersh Chandarana
- Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University Grossman School of Medicine, 660 First Ave, New York, NY, 10016, USA.
| | - Barun Bagga
- Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University Grossman School of Medicine, 660 First Ave, New York, NY, 10016, USA
| | - Chenchan Huang
- Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University Grossman School of Medicine, 660 First Ave, New York, NY, 10016, USA
| | - Bari Dane
- Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University Grossman School of Medicine, 660 First Ave, New York, NY, 10016, USA
| | - Robert Petrocelli
- Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University Grossman School of Medicine, 660 First Ave, New York, NY, 10016, USA
| | - Mary Bruno
- Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University Grossman School of Medicine, 660 First Ave, New York, NY, 10016, USA
| | | | | | - Kai Tobias Block
- Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University Grossman School of Medicine, 660 First Ave, New York, NY, 10016, USA
| | - David Stoffel
- Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University Grossman School of Medicine, 660 First Ave, New York, NY, 10016, USA
| | - Daniel K Sodickson
- Department of Radiology, Center for Advanced Imaging Innovation and Research (CAI2R), New York University Grossman School of Medicine, 660 First Ave, New York, NY, 10016, USA
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26
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Holtackers RJ, Wildberger JE, Wintersperger BJ, Chiribiri A. Impact of Field Strength in Clinical Cardiac Magnetic Resonance Imaging. Invest Radiol 2021; 56:764-772. [PMID: 34261084 DOI: 10.1097/rli.0000000000000809] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
ABSTRACT Cardiac magnetic resonance imaging (MRI) is widely applied for the noninvasive assessment of cardiac structure and function, and for tissue characterization. For more than 2 decades, 1.5 T has been considered the field strength of choice for cardiac MRI. Although the number of 3-T systems significantly increased in the past 10 years and numerous new developments were made, challenges seem to remain that hamper a widespread clinical use of 3-T MR systems for cardiac applications. As the number of clinical cardiac applications is increasing, with each having their own benefits at both field strengths, no "holy grail" field strength exists for cardiac MRI that one should ideally use. This review describes the physical differences between 1.5 and 3 T, as well as the effect of these differences on major (routine) cardiac MRI applications, including functional imaging, edema imaging, late gadolinium enhancement, first-pass stress perfusion, myocardial mapping, and phase contrast flow imaging. For each application, the advantages and limitations at both 1.5 and 3 T are discussed. Solutions and alternatives are provided to overcome potential limitations. Finally, we briefly elaborate on the potential use of alternative field strengths (ie, below 1.5 T and above 3 T) for cardiac MRI and conclude with field strength recommendations for the future of cardiac MRI.
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27
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Guo R, Weingärtner S, Šiurytė P, T Stoeck C, Füetterer M, E Campbell-Washburn A, Suinesiaputra A, Jerosch-Herold M, Nezafat R. Emerging Techniques in Cardiac Magnetic Resonance Imaging. J Magn Reson Imaging 2021; 55:1043-1059. [PMID: 34331487 DOI: 10.1002/jmri.27848] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Revised: 07/08/2021] [Accepted: 07/09/2021] [Indexed: 11/10/2022] Open
Abstract
Cardiovascular disease is the leading cause of death and a significant contributor of health care costs. Noninvasive imaging plays an essential role in the management of patients with cardiovascular disease. Cardiac magnetic resonance (MR) can noninvasively assess heart and vascular abnormalities, including biventricular structure/function, blood hemodynamics, myocardial tissue composition, microstructure, perfusion, metabolism, coronary microvascular function, and aortic distensibility/stiffness. Its ability to characterize myocardial tissue composition is unique among alternative imaging modalities in cardiovascular disease. Significant growth in cardiac MR utilization, particularly in Europe in the last decade, has laid the necessary clinical groundwork to position cardiac MR as an important imaging modality in the workup of patients with cardiovascular disease. Although lack of availability, limited training, physician hesitation, and reimbursement issues have hampered widespread clinical adoption of cardiac MR in the United States, growing clinical evidence will ultimately overcome these challenges. Advances in cardiac MR techniques, particularly faster image acquisition, quantitative myocardial tissue characterization, and image analysis have been critical to its growth. In this review article, we discuss recent advances in established and emerging cardiac MR techniques that are expected to strengthen its capability in managing patients with cardiovascular disease. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Rui Guo
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Sebastian Weingärtner
- Department of Imaging Physics, Magnetic Resonance Systems Lab, Delft University of Technology, Delft, The Netherlands
| | - Paulina Šiurytė
- Department of Imaging Physics, Magnetic Resonance Systems Lab, Delft University of Technology, Delft, The Netherlands
| | - Christian T Stoeck
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Maximilian Füetterer
- Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland
| | - Adrienne E Campbell-Washburn
- Cardiovascular Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Avan Suinesiaputra
- Faculty of Engineering and Physical Sciences, University of Leeds, Leeds, UK
| | - Michael Jerosch-Herold
- Department of Radiology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Reza Nezafat
- Department of Medicine (Cardiovascular Division), Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
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28
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Evaluation of Myocardial Infarction by Cardiovascular Magnetic Resonance at 0.55-T Compared to 1.5-T. JACC Cardiovasc Imaging 2021; 14:1866-1868. [PMID: 34023254 DOI: 10.1016/j.jcmg.2021.02.024] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Revised: 02/23/2021] [Accepted: 02/25/2021] [Indexed: 02/03/2023]
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29
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Grosse-Wortmann L, Francois CJ, Sierra-Galan LM, Markl M, Sanz J, Carr J, Bucciarelli-Ducci C, Powell AJ. Highlights of the 2020 23rd Society for Cardiovascular Magnetic Resonance Scientific Sessions. J Cardiovasc Magn Reson 2020; 22:75. [PMID: 33121511 PMCID: PMC7596987 DOI: 10.1186/s12968-020-00672-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 09/10/2020] [Indexed: 11/10/2022] Open
Affiliation(s)
- Lars Grosse-Wortmann
- Division of Cardiology, Department of Pediatrics, Oregon Health and Science University, Portland, OR, USA.
- Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.
- Doernbecher Children's Hospital, CDRC, 707 SW Gaines Street, Portland, OR, 97239, USA.
| | | | | | - Michael Markl
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- Department of Biomedical Engineering, McCormick School of Engineering, Northwestern University, Evanston, IL, USA
| | - Javier Sanz
- Icahn School of Medicine At Mount Sinai, New York, NY, USA
| | - James Carr
- Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Chiara Bucciarelli-Ducci
- Clinical Research and Imaging Centre, University of Bristol, Bristol, UK
- NIHR Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Andrew J Powell
- Department of Cardiology, Boston Children's Hospital Department of Pediatrics, Harvard Medical School, Boston, MA, USA
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