Abstract
Objective
This study investigates the field dependence of the distribution of in vivo, whole-brain T1 values, and its usefulness for white matter/grey matter segmentation. Results on T1 values are presented on 12 healthy volunteers. T2 and T *2 distributions and their field dependence have been measured on the same cohort of volunteers. In this paper, however, only the T2 and T *2 results on a single volunteer are presented. The reported field dependence of T2 and T *2 values should, therefore, be given less weight than that of T1 times.
Materials and methods
Relaxation times were measured in vivo on 12 healthy volunteers, using three nearly identical whole-body scanners, operating at field strengths of 1.5, 3, and 4 T and employing nearly identical software platforms and very similar hardware. T1 mapping was performed using TAPIR, a sequence based on the Look–Locker method. T *2 mapping was performed with a multi-slice, multi-echo, gradient echo sequence. A multi-slice, multi-echo T2 mapping sequence based on the Carr–Purcell–Meiboom–Gill (CPMG) method was used to map T2. For each volunteer, the global distribution of T1 relaxation times was described as the superposition of three Gaussian distributions. The field and age-dependence of the centroids and widths of the three Gaussians was investigated. The segmentation of the brain in white and grey matter was performed separately for each field strength. Using the T1 segmentation and the fact that all maps were coregistered, we investigated the distribution of T2 and T *2 values separately for the white and grey matter and described them with a Gaussian distribution in each case.
Results
Multi-slice quantitative maps were produced for the relaxation parameters T1 (near whole-brain coverage with 41 slices), T *2 (whole-brain coverage, 55 slices), and T2 (27 slices). A clear age dependence was identified for grey matter T1 values and correlated with similar behaviour observed in a separate study of the brain water content. The increase with field strength of the bulk white and grey matter T1 values was well reproduced by both Bottomley’s [1] and Fischer’s [2] formulae, with parameters taken from the literature. The separation between the centroids was, however, either overestimated or underestimated by the two formulae. The width of the T1 distributions was found to increase with increasing field.
Conclusions
The study of the field dependence of the NMR relaxation times is expected to allow for better differentiation between regions which are structurally different, provide a better insight into the microscopic structure of the brain and the molecular substrate of its function.
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References
Bottomley PA, Foster TH, Argersinger RE and Pfeifer LM (1984). 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. Med Phys 11: 425--448
Fischer HW, Rinck PA, Van Haverbeke Y and Muller RN (1990). Nuclear relaxation of human brain gray and white matter: analysis of field dependence and implications for MRI. Magn Reson Med 16: 317--334
Li TQ, Merkle H, Talagala L, Koretsky AP, Duyn J and Gelderen P (2006). Extensive heterogeneity in white matter intensity in high-resolution T *2 -weighted MRI of the human brain at 7.0 T. NeuroImage 32: 1032--1040
Duyn JH, Li TQ, Koretsky AP, Fukunaga M, Gelderen P and Zwart JA (2007). High-field MRI of brain cortical substructure based on signal phase. PNAS 104: 11796--11801
Bloembergen N, Purcell EM and Pound RV (1947). Relaxation effects in nuclear magnetic resonance absorption. Phys Rev 73: 679--715
Koenig S (1996). Molecular basis of magnetic relaxation of water protons of tissue. Acad Radiol 3: 597--605
Bryant RG, Mendelson DA and Coolbaugh Lester C (1991). The magnetic field dependence of proton spin relaxation in tissues. Magn Reson Med 21: 117--126
Halle B, Denisov VP and Venu K (1999). Multinuclear relaxation dispersion studies of protein hydration. Biol Magn Reson 17: 419--449
Shah NJ, Zaitsev M, Steinhoff S and Zilles K (2001). A new method for fast multislice T1 mapping. NeuroImage 14: 1175--1185
Steinhoff S, Zaitsev M, Zilles K and Shah NJ (2001). Fast T1 mapping with volume coverage. Magn Reson Med 46: 131--140
Zaitsev M, Steinhoff S and Shah NJ (2003). Error reduction and parameter optimization of the TAPIR method for fast T1 mapping. Magn Reson Med 49: 1121--1132
Neeb H, Zilles K and Shah NJ (2006). A new method for fast quantitative mapping of absolute water content in vivo. NeuroImage 31: 1156--1168
Neeb H, Zilles K and Shah NJ (2006). Fully-automated detection of cerebral water content changes: study of age- and gender-related H2O patters with quantitative MRI. NeuroImage 29: 910--922
Shah NJ, Zaitsev M, Steinhoff S, Wiese S, Zilles K (2000) Development of sequences for fMRI: keyhole imaging and relaxation time mapping. http://eenc.uni-leipzig.de/Shah.pdf
Dierkes T, Neeb H and Shah NJ (2004). Distortion correction in echo-planar imaging and quantitative T *2 mapping. Proceedings of the international workshop on quantitation in biomedical imaging with PET and MRI. Int Congr Ser 1265: 181--185
Dahnke H and Schaeffter T (2005). Limits of detection of SPIO at 3T using T *2 relaxometry. Magn Reson Med 53: 1202--1206
Smith SM (2002). Fast robust automated brain extraction. Human Brain Map 17(3): 143--155
Smith SM, Jenkinson M, Woolrich MW, Beckmann CF, Behrens TEJ, Johansen-Berg H, Bannister PR, De Luca M, Drobnjak I, Flitney DE, Niazy R, Saunders J, Vickers J, Zhang Y, De Stefano N, Brady JM and Matthews PM (2004). Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage 23: 208--219
Rooney WD, Johnson G, Li X, Cohen ER, Kim S-G, Ugurbil K and Springer CS Jr (2007). Magnetic field and tissue dependencies of human brain longitudinal 1H2O relaxation in vivo. Magn Reson Med 57: 308--318
Schenk JF (1995). Brain iron by magnetic resonance: T2 at different field strengths. J Neurol sci 134: 10--18
Kingsley PB, Ogg RJ, Reddick WE and Steen RG (1998). Correction of errors caused by imperfect inversion pulses in MR imaging measurement of T1 relaxation times. Magn Reson Imag 16: 1049--1055
Steen RG, Reddick WE and Ogg RJ (2000). More than meets the eye: significant regional heterogeneity in human cortical T1. Magn Reson Imag 18: 361--368
Vavasour IM, Clark CM, Li DK and Mackay AL (2006). Reproducibility and reliability of MR measurements in white matter: clinical implications. Neuroimage 32: 637--642
Gelman N, Ewing JR, Gorell JM, Spickler EM and Solomon EG (2001). Interregional variation of longitudinal relaxation rates in human brain at 3.0 T: relation to estimated iron and water contents. Magn Reson Med 45: 71--79
Jezzard P, Duewell S and Balaban RS (1996). MR relaxation times in human brain: measurement at 4 T. Radiology 199: 773--779
Lin C, Bernstein MA, Huston J, Fein SB (2001) In vivo and in vitro measurements of T1 relaxation at 3.0 T. Proc 9th Meeting of the Intl Soc Mag Reson Med 9:1391
Kim SG, Hu XP and Ugurbil K (1994). Accurate T1 determination from inversion-recovery images-application to human brain at 4-Tesla. Magn Reson Med 31: 445--449
Meara SJ and Barker GJ (2007). Impact of incidental magnetization transfer effects on inversion recovery sequences that use a fast spin-echo readout. Magn Reson Med 58(4): 825--829
Turner R, Oros-Peusquens AM, Romanzetti S, Zilles K and Shah NJ. Optimised in-vivo visualisation of cortical structures in the human brain at 3T using IR-TSE. Magn Reson Imag 2008, in print
Suzuki S, Sakai O and Jara H (2006). Combined volumetric T1, T2, and secular-T2 quantitative MRI of the brain: age-related changes: preliminary results. Magn Reson Imag 24: 877--887
Andersen C (1997). In vivo estimation of water content in cerebral white matter of brain tumour patients and normal individuals: towards a quantitative brain oedema definition. Acta Neurochir. (Wien) 139: 249--256
Cho S, Jones D, Reddick WE, Ogg RJ and Steen RG (1997). Establishing norms for age-related changes in proton T1 of human brain tissue in vivo. Magn Reson Imag 15: 1133--1143
Hallgren P and Sourander B (1958). The effect of age on the non-haemian iron in the human brain. J Neurochem 3: 41--51
Mansfield P, Morris D (1982) NMR imaging in biomedicine. Academic, New York, pp 10--32
Bartha R, Michaeli S, Merkle H, Adriany G, Andersen P, Chen W, Ugurbil K and Garwood M (2002). In vivo 1H2O T2+ measurement in the human occipital lobe at 4T and 7T by Carr--Purcell MRI: detection of microscopic susceptibility contrast. Magn Reson Med 47: 742--750
Majumdar S and Gore JC (1998). Studies of diffusion in random fields produced by variations in susceptibility. J Magn Reson 78: 41--55
Kennan RP, Zhong J and Gore JC (1994). Intravascular susceptibility contrast mechanisms in tissues. Magn Reson Med 31: 9--21
Gossuin Y, Muller RN and Gillis P (2004). Relaxation induced by ferritin: a better understanding for an improved MRI iron quantification. NMR Biomed 17: 427--432
Rooney WD, Li X, Springer CS, Telang FW, Coyle PK, Caparelli E, Ernst T, Chang L. Age and sex: effects on brain properties assessed by 1H2OT1 histograms. In: Proceedings of the 11th Annual Meeting of ISMRM,Toronto, Canada, 2003 (Abstract 1087)
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Oros-Peusquens, A.M., Laurila, M. & Shah, N.J. Magnetic field dependence of the distribution of NMR relaxation times in the living human brain. Magn Reson Mater Phy 21, 131 (2008). https://doi.org/10.1007/s10334-008-0107-5
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DOI: https://doi.org/10.1007/s10334-008-0107-5