A 72-channel receive array coil allows whole-heart cine MRI in two breath holds

Springer Science and Business Media LLC - Tập 6 - Trang 1-13 - 2022
Hugo Klarenberg1, Mark Gosselink2, Bram F. Coolen1, Tim Leiner2, Aart J. Nederveen3, Adrianus J. Bakermans3, Hildo J. Lamb4, S. Matthijs Boekholdt5, Martijn Froeling2, Gustav J. Strijkers1
1Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, Amsterdam Cardiovascular Sciences, University of Amsterdam, Amsterdam, The Netherlands
2Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
3Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, The Netherlands
4Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
5Department of Cardiology, Amsterdam University Medical Centers, Amsterdam Cardiovascular Sciences, University of Amsterdam, Amsterdam, The Netherlands

Tóm tắt

A new 72-channel receive array coil and sensitivity encoding, compressed (C-SENSE) and noncompressed (SENSE), were investigated to decrease the number of breath-holds (BHs) for cardiac magnetic resonance (CMR). Three-T CMRs were performed using the 72-channel coil with SENSE-2/4/6 and C-SENSE-2/4/6 accelerated short-axis cine two-dimensional balanced steady-state free precession sequences. A 16-channel coil with SENSE-2 served as reference. Ten healthy subjects were included. BH-time was kept under 15 s. Data were compared in terms of image quality, biventricular function, number of BHs, and scan times. BHs decreased from 7 with C-SENSE-2 (scan time 70 s, 2 slices/BH) to 3 with C-SENSE-4 (scan time 42 s, 4–5 slices/BH) and 2 with C-SENSE-6 (scan time 28 s, 7 slices/BH). Compared to reference, image sharpness was similar for SENSE-2/4/6, slightly inferior for C-SENSE-2/4/6. Blood-to-myocardium contrast was unaffected. C-SENSE-4/6 was given lower qualitative median scores, but images were considered diagnostically adequate to excellent, with C-SENSE-6 suboptimal. Biventricular end-diastolic (EDV), end-systolic (ESV) and stroke volumes, ejection fractions (EF), cardiac outputs, and left ventricle (LV)-mass were similar for SENSE-2/4/6 with no systematic bias and clinically appropriate limits of agreements. C-SENSE slightly underestimated LV-EDV (-6.38 ± 6.0 mL, p < 0.047), LV-ESV (-7.94 ± 6.0 mL, p < 0.030) and overestimated LV-EF (3.16 ± 3.10%; p < 0.047) with C-SENSE-4. Bland-Altman analyses revealed minor systematic biases in these variables with C-SENSE-2/4/6 and for LV-mass with C-SENSE-6. Using the 72-channel coil, short-axis CMR for quantifying biventricular function was feasible in two BHs where SENSE slightly outperformed C-SENSE.

Tài liệu tham khảo

Constantine G, Shan K, Flamm SD, Sivananthan MU (2004) Role of MRI in clinical cardiology. Lancet. 363:2162–2171. https://doi.org/10.1016/S0140-6736(04)16509-4 White HD, Norris RM, Brown MA, Brandt PWT, Whitlock RML, Wild CJ (1987) Left-Ventricular End-Systolic Volume as the Major Determinant of Survival after Recovery from Myocardial-Infarction. Circulation. 76:44–51. https://doi.org/10.1161/01.Cir.76.1.44 Sechtem U, Pflugfelder PW, White RD, et al (1987) Cine MR imaging: potential for the evaluation of cardiovascular function. AJR Am J Roentgenol. 148:239–246. https://doi.org/10.2214/ajr.148.2.239 Pontone G, Guaricci AI, Andreini D, et al (2017) Prognostic Stratification of Patients With ST-Segment-Elevation Myocardial Infarction (PROSPECT): A Cardiac Magnetic Resonance Study. Circ Cardiovasc Imaging. 10. https://doi.org/10.1161/CIRCIMAGING.117.006428 Curtis JP, Sokol SI, Wang YF, et al (2003) The association of left ventricular ejection fraction, mortality, and cause of death in stable outpatients with heart failure. J Am Coll Cardiol. 42:736–742. https://doi.org/10.1016/S0735-1097(03)00789-7 Kramer CM, Barkhausen J, Bucciarelli-Ducci C, Flamm SD, Kim RJ, Nagel E (2020) Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update. J Cardiovasc Magn Reson. 22:17. https://doi.org/10.1186/s12968-020-00607-1 Plein S, Bloomer TN, Ridgway JP, Jones TR, Bainbridge GJ, Sivananthan MU (2001) Steady-state free precession magnetic resonance imaging of the heart: Comparison with segmented K-space gradient-echo imaging. J Magnet Reson Imaging. 14:230–236. https://doi.org/10.1002/jmri.1178 Thiele H, Nagel E, Paetsch I, et al (2001) Functional cardiac MR imaging with steady-state free precession (SSFP) significantly improves endocardial border delineation without contrast agents. J Magnet Reson Imaging. 14:362–367. https://doi.org/10.1002/jmri.1195 Alfakih K, Thiele H, Plein S, Bainbridge GJ, Ridgway JP, Sivananthan MU (2002) Comparison of right ventricular volume measurement between segmented K-space gradient-echo and steady-state free precession magnetic resonance Imaging. J Magnet Reson Imaging. 16:253–258. https://doi.org/10.1002/jmri.10164 Schar M, Kozerke S, Fischer SE, Boesiger P (2004) Cardiac SSFP imaging at 3 tesla. Magn Reson Med. 51:799–806. https://doi.org/10.1002/mrm.20024 Pruessmann KP, Weiger M, Scheidegger MB, Boesiger P (1999) SENSE: Sensitivity encoding for fast MRI. Magn Reson Med. 42:952–962. https://doi.org/10.1002/(Sici)1522-2594(199911)42:5<952::Aid-Mrm16>3.3.Co;2-J Wintersperger BJ, Bauner K, Reeder SB, et al (2006) Cardiac steady-state free precession CINE magnetic resonance imaging at 3.0 tesla: impact of parallel imaging acceleration on volumetric accuracy and signal parameters. Invest Radiol. 41:141–147. https://doi.org/10.1097/01.rli.0000192419.08733.37 Lustig M, Donoho D, Pauly JM (2007) Sparse MRI: The application of compressed sensing for rapid MR imaging. Magn Reson Med. 58:1182–1195. https://doi.org/10.1002/mrm.21391 Goebel J, Nensa F, Schemuth HP, et al (2016) Compressed sensing cine imaging with high spatial or high temporal resolution for analysis of left ventricular function. J Magn Reson Imaging. 44:366–374. https://doi.org/10.1002/jmri.25162 Kocaoglu M, Pednekar AS, Wang H, Alsaied T, Taylor MD, Rattan MS (2020) Breath-hold and free-breathing quantitative assessment of biventricular volume and function using compressed SENSE: a clinical validation in children and young adults. J Cardiovasc Magn Reson. 22. https://doi.org/10.1186/s12968-020-00642-y Lin ACW, Strugnell W, Riley R, et al (2017) Higher resolution cine imaging with compressed sensing for accelerated clinical left ventricular evaluation. J Magn Reson Imaging. 45:1693–1699. https://doi.org/10.1002/jmri.25525 Ma Y, Hou Y, Ma Q, Wang X, Sui S, Wang B (2019) Compressed SENSE single-breath-hold and free-breathing cine imaging for accelerated clinical evaluation of the left ventricle. Clin Radiol. 74:e9–e17. https://doi.org/10.1016/j.crad.2018.12.012 Vincenti G, Monney P, Chaptinel J, et al (2014) Compressed sensing single-breath-hold CMR for fast quantification of LV function, volumes, and mass. JACC Cardiovasc Imaging. 7:882–892. https://doi.org/10.1016/j.jcmg.2014.04.016 Gruber B, Hendriks AD, Alborahal CBD (2017) The potential of a 256-channel receive-only array coil for accelerated cardiac imaging at 3T. ISMRM 25th Annual Meeting & Exhibition Gruber B, Froeling M, Leiner T, Klomp DWJ (2018) RF coils: A practical guide for nonphysicists. J Magn Reson Imaging. https://doi.org/10.1002/jmri.26187 Schmitt M, Potthast A, Sosnovik DE, et al (2008) A 128-channel receive-only cardiac coil for highly accelerated cardiac MRI at 3 tesla. Magn Reson Med. 59:1431–1439. https://doi.org/10.1002/mrm.21598 Zhang T, Grafendorfer T, Cheng JY, et al (2016) A Semiflexible 64-Channel Receive-Only Phased Array for Pediatric Body MRI at 3T. Magn Reson Med. 76:1015–1021. https://doi.org/10.1002/mrm.25999 Gosselink M, Klarenberg H, Lamb HJ, et al (2019) Highly accelerated cardiac imaging using a high-density 72 channel local receiver array at 3 Tesla. ISMRM 27th annual meeting & exhibition Kawel-Boehm N, Hetzel SJ, Ambale-Venkatesh B, et al (2020) Reference ranges (“normal values”) for cardiovascular magnetic resonance (CMR) in adults and children: 2020 update. J Cardiovasc Magn Reson. 22. https://doi.org/10.1186/s12968-020-00683-3 Bland JM, Altman DG (1986) Statistical Methods for Assessing Agreement between Two Methods of Clinical Measurement. Lancet. 1:307–310. https://doi.org/10.1016/s0140-6736(86)90837-8 Giavarina D (2015) Understanding Bland Altman analysis. Biochem Med (Zagreb). 25:141–151. https://doi.org/10.11613/BM.2015.015 Medcalc manual. (Accessed 1 Aug 2021.) Available at: http://www.medcalc.org/manual/t-distibution.php Benjamini Y, Hochberg Y (1995) Controlling the False Discovery Rate - a Practical and Powerful Approach to Multiple Testing. J R Stat Soc Series B-Statistical Methodol. 57:289–300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x Danilouchkine MG, Westenberg JJM, de Roos A, Reiber JHC, Lelieveldt BPF (2005) Operator induced variability in cardiovascular MR: left ventricular measurements and their reproducibility. J Cardiovasc Magn Reson. 7:447–457. https://doi.org/10.1081/Jcmr-200053578 Gomez-Talavera S, Fernandez-Jimenez R, Fuster V, et al (2021) Clinical Validation of a 3-Dimensional Ultrafast Cardiac Magnetic Resonance Protocol Including Single Breath-Hold 3-Dimensional Sequences. JACC Cardiovasc Imaging. https://doi.org/10.1016/j.jcmg.2021.02.031 Wetzl J, Schmidt M, Pontana F, et al (2018) Single-breath-hold 3-D CINE imaging of the left ventricle using Cartesian sampling. MAGMA. 31:19–31. https://doi.org/10.1007/s10334-017-0624-1 Wech T, Pickl W, Tran-Gia J, et al (2014) Whole-heart cine MRI in a single breath-hold--a compressed sensing accelerated 3D acquisition technique for assessment of cardiac function. Rofo. 186:37–41. https://doi.org/10.1055/s-0033-1350521 Hamilton J, Franson D, Seiberlich N (2017) Recent advances in parallel imaging for MRI. Prog Nucl Magn Reson Spectrosc. 101:71–95. https://doi.org/10.1016/j.pnmrs.2017.04.002 Ferreira PF, Gatehouse PD, Mohiaddin RH, Firmin DN (2013) Cardiovascular magnetic resonance artefacts. J Cardiovasc Magn Reson. 15:41. https://doi.org/10.1186/1532-429X-15-41