A fully flow-compensated multiecho susceptibility-weighted imaging sequence: The effects of acceleration and background field on flow compensation

Magnetic Resonance in Medicine

Volumn 76, Issue 2, 2016, Pages 478-489

  Wu, Dongmei ^a   Liu, Saifeng ^b   Buch, Sagar ^c   Ye, Yongquan ^d   Dai, Yongming ^e   Haacke, E Mark ^a,b,c,d,e  

^a EAST CHINA NORMAL UNIVERSITY   (China)

^b MRI Institute for Biomedical Research   (Canada)

^c MCMASTER UNIVERSITY   (Canada)

^d WAYNE STATE UNIVERSITY   (United States)

^e MRI Institute for Biomedical Research   (United States)

Author keywords

background field gradient; flow acceleration; flow compensation; multiecho; quantitative susceptibility mapping; susceptibility weighted imaging

Indexed keywords

ACCELERATION; ARTERIAL BLOOD; BRAIN; CLINICAL ARTICLE; COMPENSATION; ERROR; HUMAN; MAGNETIC RESONANCE ANGIOGRAPHY; MASKING; PULSE WAVE; QUANTITATIVE STUDY; SUSCEPTIBILITY WEIGHTED IMAGING; THEORETICAL MODEL; VOLUNTEER;

EID: 84978405378     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.25878     Document Type: Article

References (31)

1. Reichenbach JR, Venkatesan R, Schillinger DJ, Kido DK, Haacke EM. Small vessels in the human brain: MR venography with deoxyhemoglobin as an intrinsic contrast agent. Radiology 1997;204:272–277.
2. Haacke EM, Lai S, Reichenbach JR, Kuppusamy K, Hoogenraad FG, Takeichi H, Lin W. In vivo measurement of blood oxygen saturation using magnetic resonance imaging: a direct validation of the blood oxygen level-dependent concept in functional brain imaging. Hum Brain Mapp 1997;5:341–346.
3. Reichenbach JR, Essig M, Haacke EM, Lee BC, Przetak C, Kaiser WA, Schad LR. High-resolution venography of the brain using magnetic resonance imaging. MAGMA 1998;6:62–69.
4. Haacke EM, Xu Y, Cheng YN, Reichenbach JR. Susceptibility weighted imaging (SWI). Magn Reson Med 2004;52:612–618.
5. Haacke EM, Reichenbach JR, editors. Susceptibility weighted imaging in MRI: basic concepts and clinical applications. 1st edition. Hoboken, NJ: Wiley-Blackwell; 2011. 776 p.
6. Reichenbach JR. The future of susceptibility contrast for assessment of anatomy and function. NeuroImage 2012;62:1311–1315.
7. Wang Y, Liu T. Quantitative susceptibility mapping (QSM): decoding MRI data for a tissue magnetic biomarker. Magn Reson Med 2015;73:82–101.
8. Haacke EM, Liu S, Buch S, Zheng W, Wu D, Ye Y. Quantitative susceptibility mapping: current status and future directions. Magn Reson Imaging 2015;33:1–25.
9. Du YP, Jin Z. Simultaneous acquisition of MR angiography and venography (MRAV). Magn Reson Med 2008;59:954–958.
10. Deistung A, Dittrich E, Sedlacik J, Rauscher A, Reichenbach JR. ToF-SWI: simultaneous time of flight and fully flow compensated susceptibility weighted imaging. J Magn Reson Imaging 2009;29:1478–1484.
11. Ye Y, Hu J, Wu D, Haacke EM. Noncontrast-enhanced magnetic resonance angiography and venography imaging with enhanced angiography. J Magn Reson Imaging 2013;38:1539–1548.
12. Du YP, Jin Z, Hu Y, Tanabe J. Multi-echo acquisition of MR angiography and venography of the brain at 3 Tesla. J Magn Reson Imaging 2009;30:449–454.
13. Denk C, Rauscher A. Susceptibility weighted imaging with multiple echoes. J Magn Reson Imaging 2010;31:185–191.
14. Feng W, Neelavalli J, Haacke EM. Catalytic multiecho phase unwrapping scheme (CAMPUS) in multiecho gradient echo imaging: removing phase wraps on a voxel-by-voxel basis. Magn Reson Med 2013;70:117–126.
15. Xu B, Liu T, Spincemaille P, Prince M, Wang Y. Flow compensated quantitative susceptibility mapping for venous oxygenation imaging. Magn Reson Med 2014;72:438–445.
16. Haacke EM, Brown RW, Thompson MR, Venkatesan R. Magnetic resonance imaging: physical principles and sequence design. 1st edition. Hoboken, NJ: Wiley-Liss; 1999. 1008 p.
17. Staehle F, Jung BA, Bauer S, Leupold J, Bock J, Lorenz R, Föll D, Markl M. Three-directional acceleration phase mapping of myocardial function. Magn Reson Med 2011;65:1335–1345.
18. Barker AJ, Staehle F, Bock J, Jung BA, Markl M. Analysis of complex cardiovascular flow with three-component acceleration-encoded MRI. Magn Reson Med 2012;67:50–61.
19. Liu T, Khalidov I, de Rochefort L, Spincemaille P, Liu J, Tsiouris AJ, Wang Y. A novel background field removal method for MRI using projection onto dipole fields (PDF). NMR Biomed 2011;24:1129–1136.
20. Schweser F, Deistung A, Lehr BW, Reichenbach JR. Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism? NeuroImage 2011;54:2789–2807.
21. Reichenbach JR, Venkatesan R, Yablonskiy DA, Thompson MR, Lai S, Haacke EM. Theory and application of static field inhomogeneity effects in gradient-echo imaging. J Magn Reson Imaging 1997;7:266–279.
22. Abdul-Rahman HS, Gdeisat MA, Burton DR, Lalor MJ, Lilley F, Moore CJ. Fast and robust three-dimensional best path phase unwrapping algorithm. Appl Opt 2007;46:6623–6635.
23. Aaslid R, Markwalder TM, Nornes H. Noninvasive transcranial Doppler ultrasound recording of flow velocity in basal cerebral arteries. J Neurosurg 1982;57:769–774.
24. Hennerici M, Rautenberg W, Sitzer G, Schwartz A. Transcranial Doppler ultrasound for the assessment of intracranial arterial flow velocity—Part 1. Examination technique and normal values. Surg Neurol 1987;27:439–448.
25. Kofke WA, Brauer P, Policare R, Penthany S, Barker D, Horton J. Middle cerebral artery blood flow velocity and stable xenon-enhanced computed tomographic blood flow during balloon test occlusion of the internal carotid artery. Stroke 1995;26:1603–1606.
26. Blaber AP, Bondar RL, Stein F, Dunphy PT, Moradshahi P, Kassam MS, Freeman R. Complexity of middle cerebral artery blood flow velocity: effects of tilt and autonomic failure. Am J Physiol 1997;273:H2209–H2216.
27. Valdueza JM, Balzer JO, Villringer A, Vogl TJ, Kutter R, Einhäupl KM. Changes in blood flow velocity and diameter of the middle cerebral artery during hyperventilation: assessment with MR and transcranial Doppler sonography. AJNR Am J Neuroradiol 1997;18:1929–1934.
28. Weisskoff RM, Kiihne S. MRI susceptometry: image-based measurement of absolute susceptibility of MR contrast agents and human blood. Magn Reson Med 1992;24:375–383.
29. Spees WM, Yablonskiy DA, Oswood MC, Ackerman JJ. Water proton MR properties of human blood at 1.5 Tesla: magnetic susceptibility, T(1), T(2), T*(2), and non-Lorentzian signal behavior. Magn Reson Med 2001;45:533–542.
30. Tang J, Liu S, Neelavalli J, Cheng YCN, Buch S, Haacke EM. Improving susceptibility mapping using a threshold-based K-space/image domain iterative reconstruction approach. Magn Reson Med 2013;69:1396–1407.
31. Zhao JM, Clingman CS, Närväinen MJ, Kauppinen RA, van Zijl PCM. Oxygenation and hematocrit dependence of transverse relaxation rates of blood at 3T. Magn Reson Med 2007;58:592–597.