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Strijkers GJ, Araujo EC, Azzabou N, Bendahan D, Blamire A, Burakiewicz J, Carlier PG, Damon B, Deligianni X, Froeling M, Heerschap A, Hollingsworth KG, Hooijmans MT, Karampinos DC, Loudos G, Madelin G, Marty B, Nagel AM, Nederveen AJ, Nelissen JL, Santini F, Scheidegger O, Schick F, Sinclair C, Sinkus R, de Sousa PL, Straub V, Walter G, Kan HE. Exploration of New Contrasts, Targets, and MR Imaging and Spectroscopy Techniques for Neuromuscular Disease - A Workshop Report of Working Group 3 of the Biomedicine and Molecular Biosciences COST Action BM1304 MYO-MRI. J Neuromuscul Dis 2020; 6:1-30. [PMID: 30714967 PMCID: PMC6398566 DOI: 10.3233/jnd-180333] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Neuromuscular diseases are characterized by progressive muscle degeneration and muscle weakness resulting in functional disabilities. While each of these diseases is individually rare, they are common as a group, and a large majority lacks effective treatment with fully market approved drugs. Magnetic resonance imaging and spectroscopy techniques (MRI and MRS) are showing increasing promise as an outcome measure in clinical trials for these diseases. In 2013, the European Union funded the COST (co-operation in science and technology) action BM1304 called MYO-MRI (www.myo-mri.eu), with the overall aim to advance novel MRI and MRS techniques for both diagnosis and quantitative monitoring of neuromuscular diseases through sharing of expertise and data, joint development of protocols, opportunities for young researchers and creation of an online atlas of muscle MRI and MRS. In this report, the topics that were discussed in the framework of working group 3, which had the objective to: Explore new contrasts, new targets and new imaging techniques for NMD are described. The report is written by the scientists who attended the meetings and presented their data. An overview is given on the different contrasts that MRI can generate and their application, clinical needs and desired readouts, and emerging methods.
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Affiliation(s)
| | - Ericky C.A. Araujo
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology & NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Noura Azzabou
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology & NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | | | - Andrew Blamire
- Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, UK
| | - Jedrek Burakiewicz
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Pierre G. Carlier
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology & NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Bruce Damon
- Vanderbilt University Medical Center, Nashville, USA
| | - Xeni Deligianni
- Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland & Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | | | - Arend Heerschap
- Radboud University Medical Center, Nijmegen, the Netherlands
| | | | | | | | | | | | - Benjamin Marty
- NMR Laboratory, Neuromuscular Investigation Center, Institute of Myology & NMR Laboratory, CEA/DRF/IBFJ/MIRCen, Paris, France
| | - Armin M. Nagel
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany & Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | | | | | - Francesco Santini
- Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland & Department of Biomedical Engineering, University of Basel, Basel, Switzerland
| | - Olivier Scheidegger
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Switzerland
| | - Fritz Schick
- University of Tübingen, Section on Experimental Radiology, Tübingen, Germany
| | | | | | | | - Volker Straub
- Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, UK
| | | | - Hermien E. Kan
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
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Schuijf JD, Ambale-Venkatesh B, Kassai Y, Kato Y, Kasuboski L, Ota H, Caruthers SD, Lima JAC. Cardiovascular ultrashort echo time to map fibrosis-promises and challenges. Br J Radiol 2019; 92:20190465. [PMID: 31356106 PMCID: PMC6849674 DOI: 10.1259/bjr.20190465] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2019] [Revised: 07/23/2019] [Accepted: 07/24/2019] [Indexed: 12/13/2022] Open
Abstract
Increased collagen, or fibrosis, is an important marker of disease and may improve identification of patients at risk. In addition, fibrosis imaging may play an increasing role in guiding therapy and monitoring its effectiveness. MRI is the most frequently used modality to detect, visualize and quantify fibrosis non-invasively. However, standard MRI techniques used to phenotype cardiac fibrosis such as delayed enhancement and extracellular volume determination by T1 mapping, require the administration of gadolinium-based contrast and are particularly difficult to use in patients with cardiac devices such as pacemakers and automatic defibrillators. Therefore, such methods are limited in the serial evaluation of cardiovascular fibrosis as part of chronic disease monitoring. A method to directly measure collagen amount could be of great clinical benefit. In the current review we will discuss the potential of a novel MR technique, ultrashort echo time (UTE) MR, for fibrosis imaging. Although UTE imaging is successfully applied in other body areas such as musculoskeletal applications, there is very limited experience so far in the heart. We will review the established methods and currently available literature, discuss the technical considerations and challenges, show preliminary in vivo images and provide a future outlook on potential applications of cardiovascular UTE.
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Affiliation(s)
- Joanne D Schuijf
- Global RDC, Canon Medical Systems Europe BV, Zoetermeer, The Netherlands
| | | | - Yoshimori Kassai
- CT-MR Solution Planning Department, CT-MR Division, Canon Medical Systems, Otawara, Japan
| | - Yoko Kato
- Department of Cardiology, Johns Hopkins Hospital and School of Medicine, Baltimore, MD, USA
| | | | - Hideki Ota
- Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Miyagi, Japan
| | | | - João AC Lima
- Department of Cardiology, Johns Hopkins Hospital and School of Medicine, Baltimore, MD, USA
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3
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Wang L, Chen Y, Zhang B, Chen W, Wang C, Song L, Xu Z, Zheng J, Gao F. Self-Gated Late Gadolinium Enhancement at 7T to Image Rats with Reperfused Acute Myocardial Infarction. Korean J Radiol 2018. [PMID: 29520182 PMCID: PMC5840053 DOI: 10.3348/kjr.2018.19.2.247] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Objective A failed electrocardiography (ECG)-trigger often leads to a long acquisition time (TA) and deterioration in image quality. The purpose of this study was to evaluate and optimize the technique of self-gated (SG) cardiovascular magnetic resonance (CMR) for cardiac late gadolinium enhancement (LGE) imaging of rats with myocardial infarction/reperfusion. Materials and Methods Cardiovascular magnetic resonance images of 10 rats were obtained using SG-LGE or ECG with respiration double-gating (ECG-RESP-gating) method at 7T to compare differences in image interference and TA between the two methods. A variety of flip angles (FA: 10°-80°) and the number of repetitions (NR: 40, 80, 150, and 300) were investigated to determine optimal scan parameters of SG-LGE technique based on image quality score and contrast-to-noise ratio (CNR). Results Self-gated late gadolinium enhancement allowed successful scan in 10 (100%) rats. However, only 4 (40%) rats were successfully scanned with the ECG-RESP-gating method. TAs with SG-LGE varied depending on NR used (TA: 41, 82, 154, and 307 seconds, corresponding to NR of 40, 80, 150, and 300, respectively). For the ECG-RESP-gating method, the average TA was 220 seconds. For SG-LGE images, CNR (42.5 ± 5.5, 43.5 ± 7.5, 54 ± 9, 59.5 ± 8.5, 56 ± 13, 54 ± 8, and 41 ± 9) and image quality score (1.85 ± 0.75, 2.20 ± 0.83, 2.85 ± 0.37, 3.85 ± 0.52, 2.8 ± 0.51, 2.45 ± 0.76, and 1.95 ± 0.60) were achieved with different FAs (10°, 15°, 20°, 25°, 30°, 35°, and 40°, respectively). Optimal FAs of 20°-30° and NR of 80 were recommended. Conclusion Self-gated technique can improve image quality of LGE without irregular ECG or respiration gating. Therefore, SG-LGE can be used an alternative method of ECG-RESP-gating.
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Affiliation(s)
- Lei Wang
- Molecular Imaging Center, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Yushu Chen
- Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Bing Zhang
- Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Wei Chen
- Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Chunhua Wang
- Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Li Song
- Molecular Imaging Center, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Ziqian Xu
- Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Jie Zheng
- Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, MO 63110, USA
| | - Fabao Gao
- Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, China
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Holst K, Ugander M, Sigfridsson A. Left ventricular volume measurements with free breathing respiratory self-gated 3-dimensional golden angle radial whole-heart cine imaging - Feasibility and reproducibility. Magn Reson Imaging 2017; 43:48-55. [PMID: 28687216 DOI: 10.1016/j.mri.2017.07.002] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Revised: 06/28/2017] [Accepted: 07/02/2017] [Indexed: 11/28/2022]
Abstract
PURPOSE To develop and evaluate a free breathing respiratory self-gated isotropic resolution technique for left ventricular (LV) volume measurements. METHODS A 3D radial trajectory with double golden-angle ordering was used for free-running data acquisition during free breathing in 9 healthy volunteers. A respiratory self-gating signal was extracted from the center of k-space and used with the electrocardiogram to bin all data into 3 respiratory and 25 cardiac phases. 3D image volumes were reconstructed and the LV endocardial border was segmented. LV volume measurements and reproducibility from 3D free breathing cine were compared to conventional 2D breath-held cine. RESULTS No difference was found between 3D free breathing cine and 2D breath-held cine with regards to LV ejection fraction, stroke volume, end-systolic volume and end-diastolic volume (P<0.05 for all). The test-retest differences did not differ between 3D free breathing cine and 2D breath-held cine (P<0.05 for all). CONCLUSION 3D free breathing cine and conventional 2D breath-held cine showed similar values and test-retest repeatability for LV volumes in healthy volunteers. 3D free breathing cine enabled retrospective sorting and arbitrary angulation of isotropic data, and could correctly measure LV volumes during free breathing acquisition.
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Affiliation(s)
- Karen Holst
- Department of Clinical Physiology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Martin Ugander
- Department of Clinical Physiology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Andreas Sigfridsson
- Department of Clinical Physiology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden.
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Schwitter J, Gold MR, Al Fagih A, Lee S, Peterson M, Ciuffo A, Zhang Y, Kristiansen N, Kanal E, Sommer T. Image Quality of Cardiac Magnetic Resonance Imaging in Patients With an Implantable Cardioverter Defibrillator System Designed for the Magnetic Resonance Imaging Environment. Circ Cardiovasc Imaging 2017; 9:CIRCIMAGING.115.004025. [PMID: 27151268 DOI: 10.1161/circimaging.115.004025] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Accepted: 04/04/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND Recently, magnetic resonance (MR)-conditional implantable cardioverter defibrillator (ICD) systems have become available. However, associated cardiac MR image (MRI) quality is unknown. The goal was to evaluate the image quality performance of various cardiac MR sequences in a multicenter trial of patients implanted with an MR-conditional ICD system. METHODS AND RESULTS The Evera-MRI trial enrolled 275 patients in 42 centers worldwide. There were 263 patients implanted with an Evera-MRI single- or dual-chamber ICD and randomized to controls (n=88) and MRI (n=175), 156 of whom underwent a protocol-required MRI (9-12 weeks post implant). Steady-state-free-precession (SSFP) and fast-gradient-echo (FGE) sequences were acquired in short-axis and horizontal long-axis orientations. Qualitative and quantitative assessment of image quality was performed by using a 7-point scale (grades 1-3: good quality, grades 6-7: nondiagnostic) and measuring ICD- and lead-related artifact size. Good to moderate image quality (grades 1-5) was obtained in 53% and 74% of SSFP and FGE acquisitions, respectively, covering the left ventricle, and in 69% and 84%, respectively, covering the right ventricle. Odds for better image quality were greater for right ventricle versus left ventricle (odds ratio, 1.8; 95% confidence interval, 1.5-2.2; P<0.0001) and greater for FGE versus SSFP (odds ratio, 3.5; 95% confidence interval, 2.5-4.8; P<0.0001). Compared with SSFP, ICD-related artifacts on FGE were smaller (141±65 versus 75±57 mm, respectively; P<0.0001). Lead artifacts were much smaller than ICD artifacts (P<0.0001). CONCLUSIONS FGE yields good to moderate quality in 74% of left ventricle and 84% of right ventricle acquisitions and performs better than SSFP in patients with an MRI-conditional ICD system. In these patients, cardiac MRI can offer diagnostic information in most cases. CLINICAL TRIAL REGISTRATION URL: http://www.clinicaltrials.gov. Unique identifier: NCT02117414.
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Affiliation(s)
- Juerg Schwitter
- From the Division of Cardiology and Director of the Cardiac Magnetic Resonance Center, University Hospital Lausanne, Switzerland (J.S.); Division of Cardiology, Medical University of South Carolina, Charleston (M.R.G.); Department of Adult Cardiology, Prince Sultan Cardiac Center, Riyadh, Saudi Arabia (A.A.F.); Departments of Cardiovascular Disease and Clinical Cardiac Electrophysiology, Washington Hospital Center, Washington, DC (S.L.); United Heart and Vascular Clinic, Minneapolis, MN (M.P.); Sentara Norfolk General Hospital, VA (A.C.); Cardiac Rhythm and Heart Failure Management, Medtronic, Minneapolis, MN (Y.Z.); Cardiac Rhythm and Heart Failure Management, Medtronic, Maastricht, The Netherlands (N.K.); Department of Radiology and Neuroradiology, University of Pittsburgh Medical Center, PA (E.K.); and Department of Diagnostic and Interventional Radiology and Nuclear Medicine, German Red Cross Hospital, Neuwied, Germany (T.S.).
| | - Michael R Gold
- From the Division of Cardiology and Director of the Cardiac Magnetic Resonance Center, University Hospital Lausanne, Switzerland (J.S.); Division of Cardiology, Medical University of South Carolina, Charleston (M.R.G.); Department of Adult Cardiology, Prince Sultan Cardiac Center, Riyadh, Saudi Arabia (A.A.F.); Departments of Cardiovascular Disease and Clinical Cardiac Electrophysiology, Washington Hospital Center, Washington, DC (S.L.); United Heart and Vascular Clinic, Minneapolis, MN (M.P.); Sentara Norfolk General Hospital, VA (A.C.); Cardiac Rhythm and Heart Failure Management, Medtronic, Minneapolis, MN (Y.Z.); Cardiac Rhythm and Heart Failure Management, Medtronic, Maastricht, The Netherlands (N.K.); Department of Radiology and Neuroradiology, University of Pittsburgh Medical Center, PA (E.K.); and Department of Diagnostic and Interventional Radiology and Nuclear Medicine, German Red Cross Hospital, Neuwied, Germany (T.S.)
| | - Ahmed Al Fagih
- From the Division of Cardiology and Director of the Cardiac Magnetic Resonance Center, University Hospital Lausanne, Switzerland (J.S.); Division of Cardiology, Medical University of South Carolina, Charleston (M.R.G.); Department of Adult Cardiology, Prince Sultan Cardiac Center, Riyadh, Saudi Arabia (A.A.F.); Departments of Cardiovascular Disease and Clinical Cardiac Electrophysiology, Washington Hospital Center, Washington, DC (S.L.); United Heart and Vascular Clinic, Minneapolis, MN (M.P.); Sentara Norfolk General Hospital, VA (A.C.); Cardiac Rhythm and Heart Failure Management, Medtronic, Minneapolis, MN (Y.Z.); Cardiac Rhythm and Heart Failure Management, Medtronic, Maastricht, The Netherlands (N.K.); Department of Radiology and Neuroradiology, University of Pittsburgh Medical Center, PA (E.K.); and Department of Diagnostic and Interventional Radiology and Nuclear Medicine, German Red Cross Hospital, Neuwied, Germany (T.S.)
| | - Sung Lee
- From the Division of Cardiology and Director of the Cardiac Magnetic Resonance Center, University Hospital Lausanne, Switzerland (J.S.); Division of Cardiology, Medical University of South Carolina, Charleston (M.R.G.); Department of Adult Cardiology, Prince Sultan Cardiac Center, Riyadh, Saudi Arabia (A.A.F.); Departments of Cardiovascular Disease and Clinical Cardiac Electrophysiology, Washington Hospital Center, Washington, DC (S.L.); United Heart and Vascular Clinic, Minneapolis, MN (M.P.); Sentara Norfolk General Hospital, VA (A.C.); Cardiac Rhythm and Heart Failure Management, Medtronic, Minneapolis, MN (Y.Z.); Cardiac Rhythm and Heart Failure Management, Medtronic, Maastricht, The Netherlands (N.K.); Department of Radiology and Neuroradiology, University of Pittsburgh Medical Center, PA (E.K.); and Department of Diagnostic and Interventional Radiology and Nuclear Medicine, German Red Cross Hospital, Neuwied, Germany (T.S.)
| | - Michael Peterson
- From the Division of Cardiology and Director of the Cardiac Magnetic Resonance Center, University Hospital Lausanne, Switzerland (J.S.); Division of Cardiology, Medical University of South Carolina, Charleston (M.R.G.); Department of Adult Cardiology, Prince Sultan Cardiac Center, Riyadh, Saudi Arabia (A.A.F.); Departments of Cardiovascular Disease and Clinical Cardiac Electrophysiology, Washington Hospital Center, Washington, DC (S.L.); United Heart and Vascular Clinic, Minneapolis, MN (M.P.); Sentara Norfolk General Hospital, VA (A.C.); Cardiac Rhythm and Heart Failure Management, Medtronic, Minneapolis, MN (Y.Z.); Cardiac Rhythm and Heart Failure Management, Medtronic, Maastricht, The Netherlands (N.K.); Department of Radiology and Neuroradiology, University of Pittsburgh Medical Center, PA (E.K.); and Department of Diagnostic and Interventional Radiology and Nuclear Medicine, German Red Cross Hospital, Neuwied, Germany (T.S.)
| | - Allen Ciuffo
- From the Division of Cardiology and Director of the Cardiac Magnetic Resonance Center, University Hospital Lausanne, Switzerland (J.S.); Division of Cardiology, Medical University of South Carolina, Charleston (M.R.G.); Department of Adult Cardiology, Prince Sultan Cardiac Center, Riyadh, Saudi Arabia (A.A.F.); Departments of Cardiovascular Disease and Clinical Cardiac Electrophysiology, Washington Hospital Center, Washington, DC (S.L.); United Heart and Vascular Clinic, Minneapolis, MN (M.P.); Sentara Norfolk General Hospital, VA (A.C.); Cardiac Rhythm and Heart Failure Management, Medtronic, Minneapolis, MN (Y.Z.); Cardiac Rhythm and Heart Failure Management, Medtronic, Maastricht, The Netherlands (N.K.); Department of Radiology and Neuroradiology, University of Pittsburgh Medical Center, PA (E.K.); and Department of Diagnostic and Interventional Radiology and Nuclear Medicine, German Red Cross Hospital, Neuwied, Germany (T.S.)
| | - Yan Zhang
- From the Division of Cardiology and Director of the Cardiac Magnetic Resonance Center, University Hospital Lausanne, Switzerland (J.S.); Division of Cardiology, Medical University of South Carolina, Charleston (M.R.G.); Department of Adult Cardiology, Prince Sultan Cardiac Center, Riyadh, Saudi Arabia (A.A.F.); Departments of Cardiovascular Disease and Clinical Cardiac Electrophysiology, Washington Hospital Center, Washington, DC (S.L.); United Heart and Vascular Clinic, Minneapolis, MN (M.P.); Sentara Norfolk General Hospital, VA (A.C.); Cardiac Rhythm and Heart Failure Management, Medtronic, Minneapolis, MN (Y.Z.); Cardiac Rhythm and Heart Failure Management, Medtronic, Maastricht, The Netherlands (N.K.); Department of Radiology and Neuroradiology, University of Pittsburgh Medical Center, PA (E.K.); and Department of Diagnostic and Interventional Radiology and Nuclear Medicine, German Red Cross Hospital, Neuwied, Germany (T.S.)
| | - Nina Kristiansen
- From the Division of Cardiology and Director of the Cardiac Magnetic Resonance Center, University Hospital Lausanne, Switzerland (J.S.); Division of Cardiology, Medical University of South Carolina, Charleston (M.R.G.); Department of Adult Cardiology, Prince Sultan Cardiac Center, Riyadh, Saudi Arabia (A.A.F.); Departments of Cardiovascular Disease and Clinical Cardiac Electrophysiology, Washington Hospital Center, Washington, DC (S.L.); United Heart and Vascular Clinic, Minneapolis, MN (M.P.); Sentara Norfolk General Hospital, VA (A.C.); Cardiac Rhythm and Heart Failure Management, Medtronic, Minneapolis, MN (Y.Z.); Cardiac Rhythm and Heart Failure Management, Medtronic, Maastricht, The Netherlands (N.K.); Department of Radiology and Neuroradiology, University of Pittsburgh Medical Center, PA (E.K.); and Department of Diagnostic and Interventional Radiology and Nuclear Medicine, German Red Cross Hospital, Neuwied, Germany (T.S.)
| | - Emanuel Kanal
- From the Division of Cardiology and Director of the Cardiac Magnetic Resonance Center, University Hospital Lausanne, Switzerland (J.S.); Division of Cardiology, Medical University of South Carolina, Charleston (M.R.G.); Department of Adult Cardiology, Prince Sultan Cardiac Center, Riyadh, Saudi Arabia (A.A.F.); Departments of Cardiovascular Disease and Clinical Cardiac Electrophysiology, Washington Hospital Center, Washington, DC (S.L.); United Heart and Vascular Clinic, Minneapolis, MN (M.P.); Sentara Norfolk General Hospital, VA (A.C.); Cardiac Rhythm and Heart Failure Management, Medtronic, Minneapolis, MN (Y.Z.); Cardiac Rhythm and Heart Failure Management, Medtronic, Maastricht, The Netherlands (N.K.); Department of Radiology and Neuroradiology, University of Pittsburgh Medical Center, PA (E.K.); and Department of Diagnostic and Interventional Radiology and Nuclear Medicine, German Red Cross Hospital, Neuwied, Germany (T.S.)
| | - Torsten Sommer
- From the Division of Cardiology and Director of the Cardiac Magnetic Resonance Center, University Hospital Lausanne, Switzerland (J.S.); Division of Cardiology, Medical University of South Carolina, Charleston (M.R.G.); Department of Adult Cardiology, Prince Sultan Cardiac Center, Riyadh, Saudi Arabia (A.A.F.); Departments of Cardiovascular Disease and Clinical Cardiac Electrophysiology, Washington Hospital Center, Washington, DC (S.L.); United Heart and Vascular Clinic, Minneapolis, MN (M.P.); Sentara Norfolk General Hospital, VA (A.C.); Cardiac Rhythm and Heart Failure Management, Medtronic, Minneapolis, MN (Y.Z.); Cardiac Rhythm and Heart Failure Management, Medtronic, Maastricht, The Netherlands (N.K.); Department of Radiology and Neuroradiology, University of Pittsburgh Medical Center, PA (E.K.); and Department of Diagnostic and Interventional Radiology and Nuclear Medicine, German Red Cross Hospital, Neuwied, Germany (T.S.)
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Krämer M, Motaal AG, Herrmann KH, Löffler B, Reichenbach JR, Strijkers GJ, Hoerr V. Cardiac 4D phase-contrast CMR at 9.4 T using self-gated ultra-short echo time (UTE) imaging. J Cardiovasc Magn Reson 2017; 19:39. [PMID: 28359292 PMCID: PMC5374606 DOI: 10.1186/s12968-017-0351-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Accepted: 03/02/2017] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Time resolved 4D phase contrast (PC) cardiovascular magnetic resonance (CMR) in mice is challenging due to long scan times, small animal ECG-gating and the rapid blood flow and cardiac motion of small rodents. To overcome several of these technical challenges we implemented a retrospectively self-gated 4D PC radial ultra-short echo-time (UTE) acquisition scheme and assessed its performance in healthy mice by comparing the results with those obtained with an ECG-triggered 4D PC fast low angle shot (FLASH) sequence. METHODS Cardiac 4D PC CMR images were acquired at 9.4 T in healthy mice using the proposed self-gated radial center-out UTE acquisition scheme (TE/TR of 0.5 ms/3.1 ms) and a standard Cartesian 4D PC imaging sequence (TE/TR of 2.1 ms/5.0 ms) with a four-point Hadamard flow encoding scheme. To validate the proposed UTE flow imaging technique, experiments on a flow phantom with variable pump rates were performed. RESULTS The anatomical images and flow velocity maps of the proposed 4D PC UTE technique showed reduced artifacts and an improved SNR (left ventricular cavity (LV): 8.9 ± 2.5, myocardium (MC): 15.7 ± 1.9) compared to those obtained using a typical Cartesian FLASH sequence (LV: 5.6 ± 1.2, MC: 10.1 ± 1.4) that was used as a reference. With both sequences comparable flow velocities were obtained in the flow phantom as well as in the ascending aorta (UTE: 132.8 ± 18.3 cm/s, FLASH: 134.7 ± 13.4 cm/s) and pulmonary artery (UTE: 78.5 ± 15.4 cm/s, FLASH: 86.6 ± 6.2 cm/s) of the animals. Self-gated navigator signals derived from information of the oversampled k-space center were successfully extracted for all animals with a higher gating efficiency of time spent on acquiring gated data versus total measurement time (UTE: 61.8 ± 11.5%, FLASH: 48.5 ± 4.9%). CONCLUSIONS The proposed self-gated 4D PC UTE sequence enables robust and accurate flow velocity mapping of the mouse heart in vivo at high magnetic fields. At the same time SNR, gating efficiency, flow artifacts and image quality all improved compared to the images obtained using the well-established, ECG-triggered, 4D PC FLASH sequence.
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Affiliation(s)
- M. Krämer
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Philosophenweg 3, D-07743 Jena, Germany
| | - A. G. Motaal
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
| | - K-H. Herrmann
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Philosophenweg 3, D-07743 Jena, Germany
| | - B. Löffler
- Institute of Medical Microbiology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
| | - J. R. Reichenbach
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Philosophenweg 3, D-07743 Jena, Germany
- Michael Stifel Center for Data-driven and Simulation Science Jena, Friedrich Schiller University Jena, Jena, Germany
- Abbe School of Photonics, Friedrich Schiller University Jena, Jena, Germany
- Center of Medical Optics and Photonics, Friedrich Schiller University Jena, Jena, Germany
| | - G. J. Strijkers
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands
- Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, Netherlands
| | - V. Hoerr
- Institute of Medical Microbiology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
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7
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Cardiovascular imaging 2015 in the International Journal of Cardiovascular Imaging. Int J Cardiovasc Imaging 2016; 32:697-709. [DOI: 10.1007/s10554-016-0877-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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8
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Trotier AJ, Castets CR, Lefrançois W, Ribot EJ, Franconi JM, Thiaudière E, Miraux S. USPIO-enhanced 3D-cine self-gated cardiac MRI based on a stack-of-stars golden angle short echo time sequence: Application on mice with acute myocardial infarction. J Magn Reson Imaging 2016; 44:355-65. [PMID: 26778077 DOI: 10.1002/jmri.25150] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2015] [Accepted: 12/23/2015] [Indexed: 12/17/2022] Open
Abstract
PURPOSE To develop and assess a 3D-cine self-gated method for cardiac imaging of murine models. MATERIALS AND METHODS A 3D stack-of-stars (SOS) short echo time (STE) sequence with a navigator echo was performed at 7T on healthy mice (n = 4) and mice with acute myocardial infarction (MI) (n = 4) injected with ultrasmall superparamagnetic iron oxide (USPIO) nanoparticles. In all, 402 spokes were acquired per stack with the incremental or the golden angle method using an angle increment of (360/402)° or 222.48°, respectively. A cylindrical k-space was filled and repeated with a maximum number of repetitions (NR) of 10. 3D cine cardiac images at 156 μm resolution were reconstructed retrospectively and compared for the two methods in terms of contrast-to-noise ratio (CNR). The golden angle images were also reconstructed with NR = 10, 6, and 3, to assess cardiac functional parameters (ejection fraction, EF) on both animal models. RESULTS The combination of 3D SOS-STE and USPIO injection allowed us to optimize the identification of cardiac peaks on navigator signal and generate high CNR between blood and myocardium (15.3 ± 1.0). The golden angle method resulted in a more homogeneous distribution of the spokes inside a stack (P < 0.05), enabling reducing the acquisition time to 15 minutes. EF was significantly different between healthy and MI mice (P < 0.05). CONCLUSION The method proposed here showed that 3D-cine images could be obtained without electrocardiogram or respiratory gating in mice. It allows precise measurement of cardiac functional parameters even on MI mice. J. Magn. Reson. Imaging 2016;44:355-365.
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Affiliation(s)
- Aurélien J Trotier
- Centre de Résonance Magnétique des Systèmes Biologiques, UMR 5536 Université de Bordeaux, Bordeaux, France
| | - Charles R Castets
- Centre de Résonance Magnétique des Systèmes Biologiques, UMR 5536 Université de Bordeaux, Bordeaux, France
| | - William Lefrançois
- Centre de Résonance Magnétique des Systèmes Biologiques, UMR 5536 Université de Bordeaux, Bordeaux, France
| | - Emeline J Ribot
- Centre de Résonance Magnétique des Systèmes Biologiques, UMR 5536 Université de Bordeaux, Bordeaux, France
| | - Jean-Michel Franconi
- Centre de Résonance Magnétique des Systèmes Biologiques, UMR 5536 Université de Bordeaux, Bordeaux, France
| | - Eric Thiaudière
- Centre de Résonance Magnétique des Systèmes Biologiques, UMR 5536 Université de Bordeaux, Bordeaux, France
| | - Sylvain Miraux
- Centre de Résonance Magnétique des Systèmes Biologiques, UMR 5536 Université de Bordeaux, Bordeaux, France
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Siu AG, Ramadeen A, Hu X, Morikawa L, Zhang L, Lau JYC, Liu G, Pop M, Connelly KA, Dorian P, Wright GA. Characterization of the ultrashort-TE (UTE) MR collagen signal. NMR IN BIOMEDICINE 2015; 28:1236-1244. [PMID: 26268158 DOI: 10.1002/nbm.3372] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2015] [Revised: 06/26/2015] [Accepted: 07/16/2015] [Indexed: 06/04/2023]
Abstract
Although current cardiovascular MR (CMR) techniques for the detection of myocardial fibrosis have shown promise, they nevertheless depend on gadolinium-based contrast agents and are not specific to collagen. In particular, the diagnosis of diffuse myocardial fibrosis, a precursor of heart failure, would benefit from a non-invasive imaging technique that can detect collagen directly. Such a method could potentially replace the need for endomyocardial biopsy, the gold standard for the diagnosis of the disease. The objective of this study was to measure the MR properties of collagen using ultrashort TE (UTE), a technique that can detect short T2* species. Experiments were performed in collagen solutions. Via a model of bi-exponential T2* with oscillation, a linear relationship (slope = 0.40 ± 0.01, R(2) = 0.99696) was determined between the UTE collagen signal fraction associated with these properties and the measured collagen concentration in solution. The UTE signal of protons in the collagen molecule was characterized as having a mean T2* of 0.75 ± 0.05 ms and a mean chemical shift of -3.56 ± 0.01 ppm relative to water at 7 T. The results indicated that collagen can be detected and quantified using UTE. A knowledge of the collagen signal properties could potentially be beneficial for the endogenous detection of myocardial fibrosis.
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Affiliation(s)
- Adrienne G Siu
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Cardiovascular Sciences Collaborative Program, University of Toronto, Toronto, ON, Canada
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Andrew Ramadeen
- Keenan Research Center, Li Ka Shing Knowledge Institute, Toronto, ON, Canada
| | - Xudong Hu
- Keenan Research Center, Li Ka Shing Knowledge Institute, Toronto, ON, Canada
| | - Lily Morikawa
- Center for Modeling Human Disease, Toronto Center for Phenogenomics, Toronto, ON, Canada
| | - Li Zhang
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Justin Y C Lau
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Garry Liu
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Mihaela Pop
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Kim A Connelly
- Cardiovascular Sciences Collaborative Program, University of Toronto, Toronto, ON, Canada
- Keenan Research Center, Li Ka Shing Knowledge Institute, Toronto, ON, Canada
- Division of Cardiology, St. Michael's Hospital, Toronto, ON, Canada
| | - Paul Dorian
- Cardiovascular Sciences Collaborative Program, University of Toronto, Toronto, ON, Canada
- Keenan Research Center, Li Ka Shing Knowledge Institute, Toronto, ON, Canada
- Division of Cardiology, St. Michael's Hospital, Toronto, ON, Canada
| | - Graham A Wright
- Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada
- Cardiovascular Sciences Collaborative Program, University of Toronto, Toronto, ON, Canada
- Physical Sciences Platform, Sunnybrook Research Institute, Toronto, ON, Canada
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Bakermans AJ, Abdurrachim D, Moonen RPM, Motaal AG, Prompers JJ, Strijkers GJ, Vandoorne K, Nicolay K. Small animal cardiovascular MR imaging and spectroscopy. PROGRESS IN NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY 2015; 88-89:1-47. [PMID: 26282195 DOI: 10.1016/j.pnmrs.2015.03.001] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2014] [Revised: 03/09/2015] [Accepted: 03/09/2015] [Indexed: 06/04/2023]
Abstract
The use of MR imaging and spectroscopy for studying cardiovascular disease processes in small animals has increased tremendously over the past decade. This is the result of the remarkable advances in MR technologies and the increased availability of genetically modified mice. MR techniques provide a window on the entire timeline of cardiovascular disease development, ranging from subtle early changes in myocardial metabolism that often mark disease onset to severe myocardial dysfunction associated with end-stage heart failure. MR imaging and spectroscopy techniques play an important role in basic cardiovascular research and in cardiovascular disease diagnosis and therapy follow-up. This is due to the broad range of functional, structural and metabolic parameters that can be quantified by MR under in vivo conditions non-invasively. This review describes the spectrum of MR techniques that are employed in small animal cardiovascular disease research and how the technological challenges resulting from the small dimensions of heart and blood vessels as well as high heart and respiratory rates, particularly in mice, are tackled.
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Affiliation(s)
- Adrianus J Bakermans
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Desiree Abdurrachim
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Rik P M Moonen
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Abdallah G Motaal
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Jeanine J Prompers
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Gustav J Strijkers
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands; Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Katrien Vandoorne
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Klaas Nicolay
- Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
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