First-pass myocardial perfusion MRI with reduced subendocardial dark-rim artifact using optimized Cartesian sampling

Journal of Magnetic Resonance Imaging

Volumn 45, Issue 2, 2017, Pages 542-555

  Zhou, Zhengwei ^a,b   Bi, Xiaoming ^c   Wei, Janet ^a   Yang, Hsin Jung ^a,b   Dharmakumar, Rohan ^a   Arsanjani, Reza ^a   Bairey Merz, C Noel ^a   Li, Debiao ^a,b   Sharif, Behzad ^a  

^a CEDARS SINAI MEDICAL CENTER   (United States)

^b Engineering IV   (United States)

^c Siemens Healthcare Diagnostics Inc   (United States)

Author keywords

dark rim artifact; first pass perfusion; Gibbs ringing; ischemic heart disease; myocardial perfusion; subendocardial ischemia

Indexed keywords

ADULT; AGED; ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; ARTIFACT; ARTIFACT REDUCTION; CARDIOVASCULAR MAGNETIC RESONANCE; CARTESIAN SAMPLING; CASE REPORT; CONTROLLED STUDY; CORONARY ARTERY DISEASE; DOG BREED; FEMALE; FIRST PASS PERFUSION MYOCARDIAL MAGNETIC RESONANCE IMAGING; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE RECONSTRUCTION; INTERMETHOD COMPARISON; MALE; NONHUMAN; NUMERICAL SIMULATION; PRIORITY JOURNAL; SAMPLING; SIGNAL NOISE RATIO; SIMULATION; SUBENDOCARDIAL DARK RIM ARTIFACT; ALGORITHM; ANIMAL; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; DOG; ENDOCARDIUM; IMAGE ENHANCEMENT; MAGNETIC RESONANCE ANGIOGRAPHY; MYOCARDIAL PERFUSION IMAGING; PROCEDURES; REPRODUCIBILITY; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

ALGORITHMS; ANIMALS; ARTIFACTS; CORONARY ARTERY DISEASE; DOGS; ENDOCARDIUM; FEMALE; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE ANGIOGRAPHY; MALE; MYOCARDIAL PERFUSION IMAGING; REPRODUCIBILITY OF RESULTS; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 85008970988     PISSN: 10531807     EISSN: 15222586     Source Type: Journal    
DOI: 10.1002/jmri.25400     Document Type: Article

References (40)

1. Wilke NM, Jerosch Herold M, Zenovich A, Stillman AE. Magnetic resonance first-pass myocardial perfusion imaging: Clinical validation and future applications. J Magn Reson Imaging 1999;10:676–685.
2. Schwitter J, Nanz D, Kneifel S, et al. Assessment of myocardial perfusion in coronary artery disease by magnetic resonance. A comparison with positron emission tomography and coronary angiography. Circulation 2001;103:2230–2235.
3. Kellman P, Arai AE. Imaging sequences for first pass perfusion — a review. J Cardiovasc Magn Reson 2007;9:525–537.
4. Nagel E, Klein C, Paetsch I, et al. Magnetic resonance perfusion measurements for the noninvasive detection of coronary artery disease. Circulation 2003;108:432–437.
5. Di Bella EVR, Parker DL, Sinusas AJ. On the dark rim artifact in dynamic contrast-enhanced MRI myocardial perfusion studies. Magn Reson Med 2005;54:1295–1299.
6. Ferreira P, Gatehouse P, Kellman P, Bucciarelli-Ducci C, Firmin D. Variability of myocardial perfusion dark rim Gibbs artifacts due to sub-pixel shifts. J Cardiovasc Magn Reson 2009;11:17.
7. Lanza GA, Buffon A, Sestito A, et al. Relation between stress-induced myocardial perfusion defects on cardiovascular magnetic resonance and coronary microvascular dysfunction in patients with cardiac syndrome X. J Am Coll Cardiol 2008;51:466–472.
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. Lingala SG, DiBella E, Adluru G, McGann C, Jacob M. Accelerating free breathing myocardial perfusion MRI using multi coil radial k-t SLR. Phys Med Biol 2013;58:7309–7327.
10. 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.
11. Chen L, Adluru G, Schabel MC, McGann CJ, DiBella EVR. Myocardial perfusion MRI with an undersampled 3D stack-of-stars sequence. Med Phys 2012;39:5204–5211.
12. Pedersen H, Kozerke S, Ringgaard S, Nehrke K, Kim WY. k-t PCA: Temporally constrained k-t BLAST reconstruction using principal component analysis. Magn Reson Med 2009;62:706–716.
13. Meloni A, Al-Saadi N, Torheim G, et al. Myocardial first-pass perfusion: influence of spatial resolution and heart rate on the dark rim artifact. Magn Reson Med 2011;66:1731–1738.
14. Salerno M, Sica C, Kramer CM, Meyer CH. Improved first-pass spiral myocardial perfusion imaging with variable density trajectories. Magn Reson Med 2013;70:1369–1379.
15. Salerno M, Taylor A, Yang Y, et al. Adenosine stress cardiovascular magnetic resonance with variable-density spiral pulse sequences accurately detects coronary artery disease: initial clinical evaluation. Circ Cardiovasc Imaging 2014;7:639–646.
16. Sharif B, Dharmakumar R, LaBounty T, et al. Towards elimination of the dark-rim artifact in first-pass myocardial perfusion MRI: removing Gibbs ringing effects using optimized radial imaging. Magn Reson Med 2014;72:124–136.
17. Liang Z-P, Lauterbur PC. Principles of magnetic resonance imaging: a signal processing perspective. New York: Wiley-IEEE Press; 2000.
18. Griswold MA, Jakob PM, Heidemann RM, et al. Generalized autocalibrating partially parallel acquisitions (GRAPPA). Magn Reson Med 2002;47:1202–1210.
19. Breuer FA, Kellman P, Griswold MA, Jakob PM. Dynamic autocalibrated parallel imaging using temporal GRAPPA (TGRAPPA). Magn Reson Med 2005;53:981–985.
20. Sharif B, Dharmakumar R, Arsanjani R, et al. Non-ECG-gated myocardial perfusion MRI using continuous magnetization-driven radial sampling. Magn Reson Med 2014;72:1620–1628.
21. Harris FJ. On the use of windows for harmonic analysis with the discrete Fourier transform. Proc IEEE 1978;66:51–83.
22. Naylor DA, Tahic MK. Apodizing functions for Fourier transform spectroscopy. J Opt Soc Am A 2007;24:3644–3648.
23. Bracewell RN. The Fourier transform and its applications, 3rd ed. Boston: McGraw-Hill; 2000.
24. Rabolt JF, Bellar R. The nature of apodization in Fourier transform spectroscopy. Appl Spectrosc 1981;35:132–135.
25. Burden RL, Faires JD. Numerical analysis, 3rd ed. Boston: Prindle, Weber and Schmidt; 1985.
26. Goodman JW. Introduction to Fourier optics, 3rd ed. Englewood, CO: Roberts & Company; 2004.
27. Guerquin-Kern M, Lejeune L, Pruessmann KP, Unser M. Realistic analytical phantoms for parallel magnetic resonance imaging. IEEE Trans Med Imaging 2012;31:626–636.
28. Xue H, Zuehlsdorff S, Kellman P, et al. Unsupervised inline analysis of cardiac perfusion MRI. In: Medical image computing and computer-assisted intervention—MICCAI 2009. Berlin, Heidelberg: Springer; 2009. p 741–749.
29. Rosset A, Spadola L, Ratib O. OsiriX: an open-source software for navigating in multidimensional DICOM images. J Digit Imaging 2004;17:205–216.
30. Reeder SB, Wintersperger BJ, Dietrich O, et al. Practical approaches to the evaluation of signal-to-noise ratio performance with parallel imaging: application with cardiac imaging and a 32-channel cardiac coil. Magn Reson Med 2005;54:748–754.
31. Ripley DP, McDiarmid AK, Kidambi A, et al. Patient adaptive maximal resolution magnetic resonance myocardial stress perfusion imaging. J Magn Reson Imaging 2015;42:946–953.
32. Schulz-Menger J, Bluemke DA, Bremerich J, et al. Standardized image interpretation and post processing in cardiovascular magnetic resonance: Society for Cardiovascular Magnetic Resonance (SCMR) board of trustees task force on standardized post processing. J Cardiovasc Magn Reson 2013;15:35.
33. Cerqueira MD, Weissman NJ, Dilsizian V, Jacobs AK. Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart a statement for healthcare professionals from the cardiac imaging Committee of the Council on Clinical Cardiology of the American Heart Association. Circulation 2002;105:539–542.
34. Applegate KE, Tello R, Ying J. Hypothesis testing III: counts and medians. Radiology 2003;228:603–608.
35. Storey P, Chen Q, Li W, Edelman RR, Prasad PV. Band artifacts due to bulk motion. Magn Reson Med 2002;48:1028–1036.
36. Oppenheim AV, Schafer RW. Discrete-time signal processing. Upper Saddle River, NJ: Pearson Education; 2009.
37. Camici PG, Crea F. Coronary microvascular dysfunction. N Engl J Med 2007;356:830–840.
38. Panting JR, Gatehouse PD, Yang GZ, et al. Abnormal subendocardial perfusion in cardiac syndrome X detected by cardiovascular magnetic resonance imaging. N Engl J Med 2002;346:1948–1953.
39. Wei J, Mehta PK, Johnson BD, et al. Safety of coronary reactivity testing in women with no obstructive coronary artery disease: results from the NHLBI-sponsored WISE (Women's Ischemia Syndrome Evaluation) study. JACC Cardiovasc Intervent 2012;5:646–653.
40. Thomson LE, Wei J, Agarwal M, et al. Cardiac magnetic resonance myocardial perfusion reserve index is reduced in women with coronary microvascular dysfunction a national heart, lung, and blood institute-sponsored study from the Women's Ischemia Syndrome Evaluation. Circulation Cardiovasc Imaging 2015;8:e002481.