Neuroimaging at 1.5 T and 3.0 T: Comparison of oxygenation‐sensitive magnetic resonance imaging

Noise properties, the signal‐to‐noise ratio (SNR), contrast‐to‐noise ratio (CNR), and signal responses were compared during functional activation of the human brain at 1.5 and 3.0 T. At the higher field spiral gradient‐echo (GRE) brain images revealed an average gain in SNR of 1.7 in fully relaxed and 2.2 in images with a repetition time (TR) of 1.5 sec. The tempered gain at longer TRs reflects the fact that the physiological noise depends on the signal strength and becomes a larger fraction of the total noise at 3.0 T. Activation of the primary motor and visual cortex resulted in a 36% and 44% increase of “activated pixels” at 3.0 T, which reflects a greater sensitivity for the detection of activated gray matter at the higher field. The gain in the CNR exhibited a dependency on the underlying tissue, i.e., an increase of 1.8× in regions of particular high activation‐induced signal changes (presumably venous vessels) and of 2.2× in the average activated areas. These results demonstrate that 3.0 T provides a clear advantage over 1.5 T for neuroimaging of homogeneous brain tissue, although stronger physiological noise contributions, more complicated signal features in the proximity of strong susceptibility gradients, and changes in the intrinsic relaxation times may mediate the enhancement. Magn Reson Med 45:595–604, 2001. © 2001 Wiley‐Liss, Inc.

[1]  T. Foster,et al.  A review of normal tissue hydrogen NMR relaxation times and relaxation mechanisms from 1-100 MHz: dependence on tissue type, NMR frequency, temperature, species, excision, and age. , 1984, Medical physics.

[2]  C N Chen,et al.  The field dependence of NMR imaging. II. Arguments concerning an optimal field strength , 1986, Magnetic resonance in medicine.

[3]  W. Edelstein,et al.  The intrinsic signal‐to‐noise ratio in NMR imaging , 1986, Magnetic resonance in medicine.

[4]  V. Haughton,et al.  T1 and T2 measurements on a 1.5-T commercial MR imager. , 1989, Radiology.

[5]  Y Van Haverbeke,et al.  The uncommon longitudinal relaxation dispersion of human brain white matter , 1989, Magnetic resonance in medicine.

[6]  S. Riederer,et al.  Analysis of T2 limitations and off‐resonance effects on spatial resolution and artifacts in echo‐planar imaging , 1990, Magnetic resonance in medicine.

[7]  B. Rosen,et al.  MR Contrast Due to Microscopically Heterogeneous Magnetic Susceptibility: Numerical Simulations and Applications to Cerebral Physiology , 1991, Magnetic resonance in medicine.

[8]  Bob S. Hu,et al.  Fast Spiral Coronary Artery Imaging , 1992, Magnetic resonance in medicine.

[9]  R. Turner,et al.  Functional mapping of the human visual cortex at 4 and 1.5 tesla using deoxygenation contrast EPI , 1993, Magnetic resonance in medicine.

[10]  Ravi S. Menon,et al.  Functional brain mapping by blood oxygenation level-dependent contrast magnetic resonance imaging. A comparison of signal characteristics with a biophysical model. , 1993, Biophysical journal.

[11]  D. Tank,et al.  4 Tesla gradient recalled echo characteristics of photic stimulation‐induced signal changes in the human primary visual cortex , 1993 .

[12]  A. Kleinschmidt,et al.  Brain or veinoxygenation or flow? On signal physiology in functional MRI of human brain activation , 1994, NMR in biomedicine.

[13]  J H Duyn,et al.  Inflow versus deoxyhemoglobin effects in bold functional MRI using gradient echoes at 1.5 T , 1994, NMR in biomedicine.

[14]  Mark S. Cohen,et al.  Localization of brain function using magnetic resonance imaging , 1994, Trends in Neurosciences.

[15]  R S Balaban,et al.  MR relaxation times in human brain: measurement at 4 T. , 1996, Radiology.

[16]  G H Glover,et al.  Decomposition of inflow and blood oxygen level‐dependent (BOLD) effects with dual‐echo spiral gradient‐recalled echo (GRE) fMRI , 1996, Magnetic resonance in medicine.

[17]  P. Basser,et al.  Diffusion tensor MR imaging of the human brain. , 1996, Radiology.

[18]  K. Uğurbil,et al.  Experimental determination of the BOLD field strength dependence in vessels and tissue , 1997, Magnetic resonance in medicine.

[19]  G. Glover,et al.  Self‐navigated spiral fMRI: Interleaved versus single‐shot , 1998, Magnetic resonance in medicine.

[20]  R. Buxton,et al.  Dynamics of blood flow and oxygenation changes during brain activation: The balloon model , 1998, Magnetic resonance in medicine.

[21]  M S Cohen,et al.  Stability, repeatability, and the expression of signal magnitude in functional magnetic resonance imaging , 1999, Journal of magnetic resonance imaging : JMRI.

[22]  S. Holland,et al.  NMR relaxation times in the human brain at 3.0 tesla , 1999, Journal of magnetic resonance imaging : JMRI.

[23]  G. Glover,et al.  Simultaneous monitoring of dynamic changes in cerebral blood flow and oxygenation during sustained activation of the human visual cortex. , 1999, Neuroreport.

[24]  G H Glover,et al.  Simple analytic spiral K‐space algorithm , 1999, Magnetic resonance in medicine.

[25]  J. Frahm,et al.  Does stimulus quality affect the physiologic MRI responses to brief visual activation? , 1999, Neuroreport.

[26]  Jeff H. Duyn,et al.  Comparison of 3D BOLD Functional MRI with Spiral Acquisition at 1.5 and 4.0 T , 1999, NeuroImage.