A two-compartment gel phantom for optimization and quality assurance in clinical BOLD fMRI

Magnetic Resonance Imaging

Volumn 26, Issue 2, 2008, Pages 279-286

  Olsrud, Johan ^a   Nilsson, Anders ^a,b   Mannfolk, Peter ^a,b   Waites, Anthony ^c   Ståhlberg, Freddy ^b  

^a LUND UNIVERSITY HOSPITAL   (Sweden)

^b LUND UNIVERSITY   (Sweden)

^c FLOREY INSTITUTE OF NEUROSCIENCE AND MENTAL HEALTH   (Australia)

Author keywords

Agarose gel; BOLD; fMRI; Optimization; Phantom

Indexed keywords

AGAROSE;

ARTICLE; CALCULATION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GEOMETRY; IMAGE ANALYSIS; PRIORITY JOURNAL; QUALITY CONTROL; REPRODUCIBILITY;

EQUIPMENT DESIGN; GELS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; NICKEL; PHANTOMS, IMAGING; POLYMETHYL METHACRYLATE; QUALITY ASSURANCE, HEALTH CARE; SEPHAROSE;

EID: 38349146109     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mri.2007.06.010     Document Type: Article

References (31)

1. Cabeza R., and Nyberg L. Imaging cognition II: an empirical review of 275 PET and fMRI studies. J Cogn Neurosci 12 (2000) 1-47
2. Berman M.G., Jonides J., and Nee D.E. Studying mind and brain with fMRI. Soc Cogn Affect Neurosci 1 (2006) 158-161
3. Krings T., Reinges M.H., Erberich S., Kemeny S., Rohde V., Spetzger U., et al. Functional MRI for presurgical planning: problems, artefacts, and solution strategies. J Neurol Neurosurg Psychiatry 70 (2001) 749-760
4. Lehericy S., Cohen L., Bazin B., Samson S., Giacomini E., Rougetet R., et al. Functional MR evaluation of temporal and frontal language dominance compared with the Wada test. Neurology 54 (2000) 1625-1633
5. Van Westen D., Skagerberg G., Olsrud J., Fransson P., and Larsson E.-M. Functional magnetic resonance imaging at 3T as a clinical tool in patients with intracranial tumors. Acta Radiol 46 (2005) 599-609
6. Saunert S. Presurgical planning for tumor resectioning. J Magn Reson Imaging 23 (2006) 887-905
7. Jezzard P., and Buxton R.B. The clinical potential of functional magnetic resonance imaging. J Magn Reson Imaging 23 (2006) 787-793
8. Detre A.J. Clinical applicability of functional MRI. J Magn Reson Imaging 23 (2006) 808-815
9. 0 field variations. Magn Reson Med 34 (1995) 65-73
10. Deichmann R., Josephs C., Hutton C., Corfield D.R., and Turner R. Compensation of susceptibility-induced BOLD sensitivity losses in echo planar fMRI imaging. Neuroimage 15 (2002) 120-135
11. Friedman L., and Glover G.H. Report on a multicenter fMRI quality assurance protocol. J Magn Reson Imaging 23 (2006) 827-839
12. Bandettini P.A., Wong E.C., Jesmanowicz A., Hinks R.S., and Hyde J.S. Spin-echo and gradient-echo EPI of human brain activation using BOLD contrast: a comparative study at 1.5 T. NMR Biomed 7 (1994) 12-20
13. Posse S., Weise S., Gembris D., Mathiak K., Kessler C., Grosse-Ruyken M.-L., et al. Enhancement of BOLD contrast-sensitivity by single-shot multi-echo functional MR imaging. Magne Reson Med 42 (1999) 87-97
14. Krüger G., Kastrup A., and Glover G.H. Neuroimaging at 1.5T and 3.0T: Comparison of oxygenation-sensitive magnetic resonance imaging. Magn Reson Med 45 (2001) 595-604
15. Sorensen J.A., and Wang X. ROC methods for evaluation of fMRI techniques. Magn Reson Med 36 (1996) 737-744
16. Constable R.T., Skudlarski P., Mencl E., Pugh K.R., Fulbright R.K., Lacadie C., et al. Quantifying and comparing region-of-interest activation patterns in functional brain MR imaging: methodology considerations. Magn Reson Imaging 18 (1998) 289-300
17. Zhao Q., Duensing G., and Fitzsimmons J. Development of smart-phantom for characterizing fMRI informatics tools. Proc Intl Soc Magn Reson Med 11 (2003) 1834
18. Cheng H., Zhao Q., Duensing G.R., Edelstein W.A., Spencer D., Browne N., et al. SmartPhanton - an fMRI simulator. Magn Reson Imaging 24 (2006) 301-313
19. Zhao Q., and White K.D. Calibration of fMRI by simulating BOLD contrast in the living human brain. Proc Intl Soc Magn Reson Med 14 (2006) 2832
20. Renvall V., Joensuu R., and Hari R. Functional phantom for fMRI: a feasibility study. Magn Reson Imaging 24 (2006) 315-320
21. Ogawa S., Lee T.M., Kay A.R., and Tank D.W. Brain magnetic resonance imaging with contrast dependent on blood oxygenation. Proc Natl Acad Sci U S A 87 (1990) 9868-9872
22. Ogawa S., Lee T.-M., Nayak A.S., and Glynn P. Oxygenation-sensitive contrast in magnetic resonance image of rodent brain at high magnetic fields. Magn Reson Med 14 (1990) 68-78
23. Mitchell M.D., Kundel H.L., Axel L., and Joseph P.M. Agarose as a tissue equivalent phantom for NMR imaging. Magn Reson Imaging 4 (1986) 263-266
24. Christoffersson J.O., Olsson L.E., and Sjöberg S. Nickel-doped agarose gel phantoms in MR imaging. Acta Radiol 32 (1991) 426-431
25. Macovski A. Noise in MRI. Magn Reson Med 36 (1996) 494-497
26. Parrish T.B., Gitelman D.R., LaBar K.S., and Mesulam M.M. Impact of signal-to-noise on functional MRI. Magn Reson Med 44 (2000) 925-932
27. Wansapura J.P., Holland S.K., Dunn R.S., and Ball W.S. NMR relaxation times in the human brain at 3.0 Tesla. J Magn Reson Imaging 9 (1999) 531-538
28. Stanisz G.J., Odrobina E.E., Pun J., Escaravage M., Graham S.J., Bronskill M.J., et al. T1, T2 and magnetization transfer in tissue at 3T. Magn Reson Med 54 (2005) 507-512
29. Weisskoff R.M. Simple measurement of scanner stability for functional NMR imaging of activation in the brain. Magn Reson Med 36 (1996) 643-645
30. Stöcker T., Schneider F., Klein M., Habel U., Kellermann T., Zilles K., et al. Automated quality assurance routines for fMRI data applied to a multicenter study. Hum Brain Mapp 25 (2005) 237-246
31. Chen N.K., Dickey C.C., Yoo S.S., Guttman C.R., and Panych L.P. Selection of voxel size and slice orientation for fMRI in the presence of susceptibility field gradients: application to imaging of the amygdala. Neuroimage 19 (2003) 817-825