Comparison of centric and reverse-centric trajectories for highly accelerated three-dimensional saturation recovery cardiac perfusion imaging
Corresponding Author
Haonan Wang
Department of Electrical & Computer Engineering, Brigham Young University, Provo, Utah, USA
Correspondence to: Haonan Wang, Brigham Young University, Provo, UT 84602. E-mail: [email protected]Search for more papers by this authorNeal K. Bangerter
Department of Electrical & Computer Engineering, Brigham Young University, Provo, Utah, USA
Department of Radiology, University of Utah, Salt Lake City, Utah, USA
Search for more papers by this authorDaniel J. Park
Department of Electrical & Computer Engineering, Brigham Young University, Provo, Utah, USA
Search for more papers by this authorGanesh Adluru
Department of Radiology, University of Utah, Salt Lake City, Utah, USA
Search for more papers by this authorEugene G. Kholmovski
Department of Radiology, University of Utah, Salt Lake City, Utah, USA
Search for more papers by this authorEdward DiBella
Department of Radiology, University of Utah, Salt Lake City, Utah, USA
Search for more papers by this authorCorresponding Author
Haonan Wang
Department of Electrical & Computer Engineering, Brigham Young University, Provo, Utah, USA
Correspondence to: Haonan Wang, Brigham Young University, Provo, UT 84602. E-mail: [email protected]Search for more papers by this authorNeal K. Bangerter
Department of Electrical & Computer Engineering, Brigham Young University, Provo, Utah, USA
Department of Radiology, University of Utah, Salt Lake City, Utah, USA
Search for more papers by this authorDaniel J. Park
Department of Electrical & Computer Engineering, Brigham Young University, Provo, Utah, USA
Search for more papers by this authorGanesh Adluru
Department of Radiology, University of Utah, Salt Lake City, Utah, USA
Search for more papers by this authorEugene G. Kholmovski
Department of Radiology, University of Utah, Salt Lake City, Utah, USA
Search for more papers by this authorEdward DiBella
Department of Radiology, University of Utah, Salt Lake City, Utah, USA
Search for more papers by this authorAbstract
Purpose
Highly undersampled three-dimensional (3D) saturation-recovery sequences are affected by k-space trajectory since the magnetization does not reach steady state during the acquisition and the slab excitation profile yields different flip angles in different slices. This study compares centric and reverse-centric 3D cardiac perfusion imaging.
Methods
An undersampled (98 phase encodes) 3D ECG-gated saturation-recovery sequence that alternates centric and reverse-centric acquisitions each time frame was used to image phantoms and in vivo subjects. Flip angle variation across the slices was measured, and contrast with each trajectory was analyzed via Bloch simulation.
Results
Significant variations in flip angle were observed across slices, leading to larger signal variation across slices for the centric acquisition. In simulation, severe transient artifacts were observed when using the centric trajectory with higher flip angles, placing practical limits on the maximum flip angle used. The reverse-centric trajectory provided less contrast, but was more robust to flip angle variations.
Conclusion
Both of the k-space trajectories can provide reasonable image quality. The centric trajectory can have higher CNR, but is more sensitive to flip angle variation. The reverse-centric trajectory is more robust to flip angle variation. Magn Reson Med 74:1070–1076, 2015. © 2014 Wiley Periodicals, Inc.
Supporting Information
Additional Supporting Information may be found in the online version of this article.
| Filename | Description |
|---|---|
| mrm25478-sup-0001-suppinfo.docx734.3 KB | Supplementary Information |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
REFERENCES
- 1 Shin T, Hu HH, Pohost GM, Nayak KS. Three dimensional first-pass myocardial perfusion imaging at 3T: feasibility study. J Cardiovasc Magn Reson 2008; 10: 57.
- 2 Wolff SD, Schwitter J, Coulden R, et al. Myocardial first-pass perfusion magnetic resonance imaging: a multicenter dose-ranging study. Circulation 2004; 110: 732–737.
- 3 Plein S, Radjenovic A, Ridgway JP, Barmby D, Greenwood JP, Ball SG, Sivananthan MU. Coronary artery disease: myocardial perfusion MR imaging with sensitivity encoding versus conventional angiography. Radiology 2005; 235: 423–430.
- 4 Bernhardt P, Engels T, Levenson B, Haase K, Albrecht A, Strohm O. Prediction of necessity for coronary artery revascularization by adenosine contrast-enhanced magnetic resonance imaging. Int J Cardiol 2006; 112: 184–190.
- 5 Klem I, Heitner JF, Shah DJ, et al. Improved detection of coronary artery disease by stress perfusion cardiovascular magnetic resonance with the use of delayed enhancement infarction imaging. J Am Coll Cardiol 2006; 47: 1630–1638.
- 6 Otazo R, Kim D, Axel L, Sodickson DK. Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI. Magn Reson Med 2010; 64: 767–776.
- 7 Adluru G, Awate SP, Tasdizen T, Whitaker RT, Dibella EV. Temporally constrained reconstruction of dynamic cardiac perfusion MRI. Magn Reson Med 2007; 57: 1027–1036.
- 8 Plein S, Ryf S, Schwitter J, Radjenovic A, Boesiger P, Kozerke S. Dynamic contrast-enhanced myocardial perfusion MRI accelerated with k-t sense. Magn Reson Med 2007; 58: 777–785.
- 9 Kellman P, Zhang Q, Larson A, Simonetti O, McVeigh E, Arai A. Cardiac first-pass perfusion MRI using 3D TrueFISP parallel imaging using TSENSE. In Proceedings of the 12th Annual Meeting of ISMRM, Kyoto, Japan, 2004. p. 310.
- 10 Vitanis V, Manka R, Giese D, Pedersen H, Plein S, Boesiger P, Kozerke S. High resolution three-dimensional cardiac perfusion imaging using compartment-based k-t principal component analysis. Magn Reson Med 2011; 65: 575–587.
- 11 Kellman P, Arai AE. Imaging sequences for first pass perfusion—a review. J Cardiovasc Magn Reson 2007; 9: 525–537.
- 12 Holsinger AE, Riederer SJ. The importance of phase-encoding order in ultra-short TR snapshot MR imaging. Magn Reson Med 1990; 16: 481–488.
- 13 Chien D, Atkinson DJ, Edelman RR. Strategies to improve contrast in turboFLASH imaging: reordered phase encoding and k-space segmentation. J Magn Reson Imaging 1991; 1: 63–70.
- 14 Kholmovski EG, DiBella EV. Perfusion MRI with radial acquisition for arterial input function assessment. Magn Reson Med 2007; 57: 821–827.
- 15 Kim D. Influence of the k-space trajectory on the dynamic T1-weighted signal in quantitative first-pass cardiac perfusion MRI at 3T. Magn Reson Med 2008; 59: 202–208.
- 16 Gerber BL, Raman SV, Nayak K, Epstein FH, Ferreira P, Axel L, Kraitchman DL. Myocardial first-pass perfusion cardiovascular magnetic resonance: history, theory, and current state of the art. J Cardiovasc Magn Reson 2008; 10: 18.
- 17 Wang H, Bangerter N, Adluru G, Kholmovski E, Xu J, DiBella E. Centric and Reverse-Centric Trajectories for Undersampled 3D Saturation Recovery Cardiac Perfusion Imaging. In Proceedings of the 21th Annual Meeting of ISMRM, Salt Lake City, Utah, USA, 2013. p. 4575.
- 18 Lustig M, Donoho D, Pauly JM. Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn Reson Med 2007; 58: 1182–1195.
- 19 Feng L, Xu J, Kim D, Axel L, Sodickson D, Otazo R. Combination of compressed sensing, parallel imaging and partial Fourier for highly-accelerated 3D first-pass cardiac perfusion MRI. In Proceedings of the 19th Annual Meeting of ISMRM, Montreal, Quebec, Canada, 2011. p. 4368.
- 20 Adluru G, McGann C, Speier P, Kholmovski EG, Shaaban A, Dibella EV. Acquisition and reconstruction of undersampled radial data for myocardial perfusion magnetic resonance imaging. J Magn Reson Imaging 2009; 29: 466–473.
- 21 Larsson HB, Rosenbaum S, Fritz-Hansen T. Quantification of the effect of water exchange in dynamic contrast MRI perfusion measurements in the brain and heart. Magn Reson Med 2001; 46: 272–281.
- 22 Rohrer M, Bauer H, Mintorovitch J, Requardt M, Weinmann HJ. Comparison of magnetic properties of MRI contrast media solutions at different magnetic field strengths. Invest Radiol 2005; 40: 715–724.
- 23 Kim D, Axel L. Multislice, dual-imaging sequence for increasing the dynamic range of the contrast-enhanced blood signal and CNR of myocardial enhancement at 3T. J Magn Reson Imaging 2006; 23: 81–86.
- 24 Insko EK, Bolinger L. Mapping of the radiofrequency field. J Magn Reson A 1993; 103: 82–85.
- 25 Chen L, Adluru G, Schabel MC, McGann CJ, Dibella EV. Myocardial perfusion MRI with an undersampled 3D stack-of-stars sequence. Med Phys 2012; 39: 5204–5211.
- 26 DiBella EV, Chen L, Schabel MC, Adluru G, McGann CJ. Myocardial perfusion acquisition without magnetization preparation or gating. Magn Reson Med 2012; 67: 609–613.
- 27 Salerno M, Sica CT, Kramer CM, Meyer CH. Optimization of spiral-based pulse sequences for first-pass myocardial perfusion imaging. Magn Reson Med 2011; 65: 1602–1610.
- 28 Manka R, Jahnke C, Kozerke S, et al. Dynamic 3-dimensional stress cardiac magnetic resonance perfusion imaging: detection of coronary artery disease and volumetry of myocardial hypoenhancement before and after coronary stenting. J Am Coll Cardiol 2011; 57: 437–444.
- 29 Jogiya R, Kozerke S, Morton G, De Silva K, Redwood S, Perera D, Nagel E, Plein S. Validation of dynamic 3-dimensional whole heart magnetic resonance myocardial perfusion imaging against fractional flow reserve for the detection of significant coronary artery disease. J Am Coll Cardiol 2012; 60: 756–765.
- 30 Manka R, Paetsch I, Kozerke S, et al. Whole-heart dynamic three-dimensional magnetic resonance perfusion imaging for the detection of coronary artery disease defined by fractional flow reserve: determination of volumetric myocardial ischaemic burden and coronary lesion location. Eur Heart J 2012; 33: 2016–2024.
- 31 Shin T, Nayak KS, Santos JM, Nishimura DG, Hu BS, McConnell MV. Three-dimensional first-pass myocardial perfusion MRI using a stack-of-spirals acquisition. Magn Reson Med 2013; 69: 839–844.
- 32 Akcakaya M, Basha TA, Pflugi S, Foppa M, Kissinger KV, Hauser TH, Nezafat R. Localized spatio-temporal constraints for accelerated CMR perfusion. Magn Reson Med 2014; 72: 629–639.
- 33 Giri S, Xue H, Maiseyeu A, Kroeker R, Rajagopalan S, White RD, Zuehlsdorff S, Raman SV, Simonetti OP. Steady-state first-pass perfusion (SSFPP): a new approach to 3D first-pass myocardial perfusion imaging. Magn Reson Med 2014; 71: 133–144.
- 34 Schmidt JF, Wissmann L, Manka R, Kozerke S. Iterative k-t principal component analysis with nonrigid motion correction for dynamic three-dimensional cardiac perfusion imaging. Magn Reson Med 2014; 72: 68–79.
- 35 Motwani M, Kidambi A, Sourbron S, Fairbairn TA, Uddin A, Kozerke S, Greenwood JP, Plein S. Quantitative three-dimensional cardiovascular magnetic resonance myocardial perfusion imaging in systole and diastole. J Cardiovasc Magn Reson 2014; 16: 19.
