Myocardial perfusion cardiovascular magnetic resonance: optimized dual sequence and reconstruction for quantification

Journal of Cardiovascular Magnetic Resonance

Volumn 19, Issue 1, 2017, Pages

  Kellman, Peter ^a   Hansen, Michael S ^a   Nielles Vallespin, Sonia ^a   Nickander, Jannike ^b   Themudo, Raquel ^b   Ugander, Martin ^b   Xue, Hui ^a  

^a NATIONAL HEART LUNG AND BLOOD INSTITUTE   (United States)

^b KAROLINSKA UNIVERSITY HOSPITAL   (Sweden)

Author keywords

Arterial input function; Flow; Gadolinium; Myocardial perfusion; Perfusion quantification

Indexed keywords

ADENOSINE; GADOBUTROL; GADOTERATE MEGLUMINE; CONTRAST MEDIUM; VASODILATOR AGENT;

ADULT; ARTICLE; CARDIOVASCULAR MAGNETIC RESONANCE; CONTINUOUS INFUSION; CONTRAST ENHANCEMENT; CONTRAST TO NOISE RATIO; FEMALE; HEART MUSCLE BLOOD FLOW; HEART MUSCLE PERFUSION; HUMAN; HUMAN EXPERIMENT; IMAGE RECONSTRUCTION; MALE; MYOCARDIAL PERFUSION IMAGING; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE SCANNER; PHANTOM; PHARMACOLOGIC STRESS TESTING; SIGNAL NOISE RATIO; SIMULATION; AUTOMATION; BLOOD FLOW VELOCITY; COMPUTER ASSISTED DIAGNOSIS; CORONARY ARTERY BLOOD FLOW; DEVICES; IMAGING PHANTOM; NONLINEAR SYSTEM; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTIVE VALUE; PROCEDURES; REPRODUCIBILITY; VALIDATION STUDY;

ADENOSINE; AUTOMATION; BLOOD FLOW VELOCITY; CONTRAST MEDIA; CORONARY CIRCULATION; HEALTHY VOLUNTEERS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MYOCARDIAL PERFUSION IMAGING; NONLINEAR DYNAMICS; PHANTOMS, IMAGING; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; VASODILATOR AGENTS;

EID: 85018517011     PISSN: 10976647     EISSN: 1532429X     Source Type: Journal    
DOI: 10.1186/s12968-017-0355-5     Document Type: Article

References (31)

1. Wilke N, Simm C, Zhang J, Ellermann J, Ya X, Merkle H, et al. Contrast-enhanced first pass myocardial perfusion imaging: correlation between myocardial blood flow in dogs at rest and during hyperemia. Magn Reson Med. 1993;29:485-97.
2. Jerosch-Herold M, Wilke N, Stillman AE, Wilson RF. Magnetic resonance quantification of the myocardial perfusion reserve with a Fermi function model for constrained deconvolution. Med Phys. 1998;25:73.
3. Christian TF, Aletras AH, Arai AE. Estimation of absolute myocardial blood flow during first-pass MR perfusion imaging using a dual-bolus injection technique: comparison to single-bolus injection method. J Magn Reson Imaging. 2008;27:1271-7.
4. Gatehouse PD, Elkington AG, Ablitt NA, Yang G-Z, Pennell DJ, Firmin DN. Accurate assessment of the arterial input function during high-dose myocardial perfusion cardiovascular magnetic resonance. J Magn Reson Imaging. 2004;20:39-45.
5. Xue H, Hansen MS, Nielles-vallespin S, Arai AE, Kellman P. Inline quantitative myocardial perfusion flow mapping. JCMR/ISMRM Work. 2016;18:4-6.
6. Chow K, Kellman P, Spottiswoode BS, Nielles-Vallespin S, Arai AE, Salerno M, et al. Saturation pulse design for quantitative myocardial T1 mapping. J Cardiovasc Magn Reson. 2015;17:84.
7. Nielles-Vallespin S, Kellman P, Hsu L-Y, Arai AE. FLASH proton density imaging for improved surface coil intensity correction in quantitative and semi-quantitative SSFP perfusion cardiovascular magnetic resonance. J Cardiovasc Magn Reson. 2015;17:16.
8. Cernicanu A, Axel L. Theory-based signal calibration with single-point T1 measurements for first-pass quantitative perfusion MRI studies. Acad Radiol. 2006;13:686-93.
9. Sekihara K. Steady-state magnetizations in angles and short repetition intervals. IEEE Trans Med Imaging. 1987;MI-6:157-64.
10. Gatehouse P, Lyne J, Smith G, Pennell D, Firmin D. T2* effects in the dual-sequence method for high-dose first-pass myocardial perfusion. J Magn Reson Imaging. 2006;24:1168-71.
11. Sánchez-González J, Fernandez-Jiménez R, Nothnagel ND, López-Martín G, Fuster V, Ibañez B. Optimization of dual-saturation single bolus acquisition for quantitative cardiac perfusion and myocardial blood flow maps. J Cardiovasc Magn Reson. 2015;17:21.
12. de Bazelaire C, Rofsky NM, Duhamel G, Zhang J, Michaelson MD, George D, et al. Combined T2* and T1 measurements for improved perfusion and permeability studies in high field using dynamic contrast enhancement. Eur Radiol. 2006;16:2083-91.
13. Kellman P, McVeigh ER. Image reconstruction in SNR units: a general method for SNR measurement. Magn Reson Med. 2005;54:1439-47.
14. Xue H, Zuehlsdorff S, Kellman P, Arai A, Nielles-Vallespin S, Chefdhotel C, et al. Unsupervised inline analysis of cardiac perfusion MRI. Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics). 2009;5762 LNCS:741-9.
15. Breuer FA, Kellman P, Griswold MA, Jakob PM. Dynamic autocalibrated parallel imaging using temporal GRAPPA (TGRAPPA). Magn Reson Med. 2005;53:981-5.
16. Kim D. Influence of the k-space trajectory on the dynamic T1-weighted signal in quantitative first-pass cardiac perfusion MRI at 3 T. Magn Reson Med. 2008;59:202-8.
17. Elkington AG, He T, Gatehouse PD, Prasad SK, Firmin DN, Pennell DJ. Optimization of the arterial input function for myocardial perfusion cardiovascular magnetic resonance. J Magn Reson Imaging. 2005;21:354-9.
18. Zhao L, Salerno M, Kramer CM, Meyer CH. The contribution of cardiac motion to dark rim artifacts in myocardial perfusion scans. Proc ISMRM. 2010;18:3626.
19. Storey P, Chen Q, Li W, Edelman RR, Prasad PV. Band artifacts due to bulk motion. Magn Reson Med. 2002;48:1028-36.
20. Di Bella EVR, Parker DL, Sinusas AJ. On the dark rim artifact in dynamic contrast-enhanced MRI myocardial perfusion studies. Magn Reson Med. 2005;54:1295-9.
21. Hansen MS, Sørensen TS. Gadgetron: an open source framework for medical image reconstruction. Magn Reson Med. 2013;69:1768-76.
22. Chefd’Hotel C, Hermosillo G, Faugeras O. Flows of diffeomorphisms for multimodal image registration. IEEE Int Symp Biomed Imaging. 2002;753-756.
23. Bassingthwaighte JB, Wang CY, Chan IS. Blood-tissue exchange via transport and transformation by capillary endothelial cells. Circ Res. 1989;65:997-1020.
24. Zhou Z, Bi X, Wei J, Yang H-J, Dharmakumar R, Arsanjani R, et al. First-pass myocardial perfusion MRI with reduced subendocardial dark-rim artifact using optimized Cartesian sampling. J Magn Reson Imaging. 2017;45(2):542-55. doi:10.1002/jmri.25400.
25. Kellman P, Aletras AH, Hsu L-Y, McVeigh ER, Arai AE. T2* measurement during first-pass contrast-enhanced cardiac perfusion imaging. Magn Reson Med. 2006;56:1132-4.
26. Kalavagunta C, Michaeli S, Metzger GJ. In vitro Gd-DTPA relaxometry studies in oxygenated venous human blood and aqueous solution at 3 and 7 T. Contrast Media Mol Imaging. 2014;9:169-76.
27. Alessio A, Bassingthwaighte JB, Glenny R, Caldwell J. Validation of an axially distributed model for quantification of myocardial blood flow using 13 N-ammonia PET. J Nucl Cardiol. 2013;20:64-75.
28. Broadbent DA, Biglands JD, Larghat A, Sourbron SP, Radjenovic A, Greenwood JP, et al. Myocardial blood flow at rest and stress measured with dynamic contrast-enhanced MRI: comparison of a distributed parameter model with a Fermi function model. Magn Reson Med. 2013;70:1591-7.
29. Chung S, Shah B, Storey P, Iqbal S, Slater J, Axel L. Quantitative Perfusion Analysis of First-Pass Contrast Enhancement Kinetics: Application to MRI of Myocardial Perfusion in Coronary Artery Disease. PLoS One [Internet]. 2016;11:e0162067. Available from: http://dx.plos.org/10.1371/journal.pone.0162067
30. Kunze KP, Rischpler C, Hayes C, Ibrahim T, Laugwitz K-L, Haase A, et al. Measurement of extracellular volume and transit time heterogeneity using contrast-enhanced myocardial perfusion MRI in patients after acute myocardial infarction. Magn Reson Med. 2016. doi:10.1002/mrm.26320. [Epub ahead of print]
31. Hsu L-Y, Rhoads KL, Holly JE, Kellman P, Aletras AH, Arai AE. Quantitative myocardial perfusion analysis with a dual-bolus contrast-enhanced first-pass MRI technique in humans. J Magn Reson Imaging. 2006;23:315-22.