基于表面的形态测量学：3T与7T高分辨磁共振结构成像受试者内比较

doi:10.24920/J1001-9294.2017.031

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This study compared the reliability of 3T and 7T MRI system on depicting characteristics of cortical structures of normal brains. The results confirmed that inconsistency of brain structural attribute existed between 3T and 7T, which raised cautiousness for researchers who investigate brain structural changes using ultrahigh field MR system.

Abstract

Objective

High resolution structural MR imaging can reveal structural characteristics of cerebral cortex and provide an insight into normal brain development and neuropsychological diseases. The aim of this study was to compare cortical structural characteristics of normal human brain between 3T and 7T MRI systems using surface-based morphometry based on high resolution structural MR imaging.

Methods

Twelve healthy volunteers were scanned by both 3T with 3D T1-weighted fast spoiled gradient recalled echo (3D T1-FSPGR) sequence and 7T with 3D T1-weighted magnetization-prepared rapid gradient echo (3D T1-MPRAGE) sequence. MRI data were processed with FreeSurfer. The cortical thickness, white and gray matter surface area, convexity, and curvature from data of 3T and 7T were measured and compared by paired t-test.

Results

Measurements of mean cortical thickness, total white matter surface area and gray matter surface area of 3T were larger than those of 7T (left hemisphere: P=0.000, 0.006, 0.020 respectively; right hemisphere: P=0.000, 0.000, 0.000 respectively). Surface-based morphometry over the whole brain demonstrated both reduced and increased measurements of cortical thickness, white and gray surface area, convexity, and curvature at 7T compared to 3T.

Conclusions

Inconsistency of brain structural attribute between 3T and 7T was confirmed, and researchers should be cautious about data when using ultrahigh field MR system to investigate brain structural changes.

Key words: MRI, ultra high field, morphometry, brain, cortex

Chen Zhiye, Liu Mengqi, Ma Lin. Surface-Based Morphometry of Human Brain: Intra-Individual Comparison Between 3T and 7T High Resolution Structural MR Imaging^△[J].Chinese Medical Sciences Journal, 2017, 32(4): 226-231.

Figures/Tables 5

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Table 1

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References 18.

1.	Fischl B, Dale AM.Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc Natl Acad Sci USA 2000; 97:11050-5. doi: 10.1073/ pnas.200033797.
2.	Hutton C, De Vita E, Ashburner J, Deichmann R, Turner R.Voxel-based cortical thickness measurements in MRI. Neuroimage 2008; 40: 1701-10. doi: 10.1016/j. neuroimage.2008.01.027.
3.	Chen Z, Li L, Sun J, Ma L.Mapping the brain in type II diabetes: Voxel-based morphometry using DARTEL. Eur J Radiol 2012; 81: 1870-6. doi: 10.1016/j.ejrad.2011.04.025.
4.	Mainero C, Benner T, Radding A, van der Kouwe A, Jensen R, Rosen BR, et al. In vivo imaging of cortical pathology in multiple sclerosis using ultra-high field MRI. Neurology 2009; 73: 941-8. doi: 10.1212/WNL.0b013e3181b64bf7.
5.	Bluestein KT, Pitt D, Sammet S, Zachariah CR, Nagaraj U, Knopp MV, et al.Detecting cortical lesions in multiple sclerosis at 7T using white matter signal attenuation. Magn Reson Imaging 2012; 30: 907-15. doi: 10.1016/j.mri.2012.03.006.
6.	Beisteiner R, Robinson S, Wurnig M, Hilbert M, Merksa K, Rath J, et al.Clinical fMRI: evidence for a 7T benefit over 3T. Neuroimage 2011; 57: 1015-21. doi: 10.1016/j.neuroimage.2011.05.010.
7.	Lüsebrink F, Wollrab A, Speck O.Cortical thickness determination of the human brain using high resolution 3T and 7T MRI data. Neuroimage 2013; 70: 122-31. doi: 10.1016/j.neuroimage.2012.12.016.
8.	Pinkhardt EH, van Elst LT, Ludolph AC, Kassubek J. Amygdala size in amyotrophic lateral sclerosis without dementia: an in vivo study using MRI volumetry. BMC Neurol 2006; 6:48. doi: 10.1186/1471-2377-6-48.
9.	Ashburner J, Friston KJ.Voxel-based morphometry-the methods. Neuroimage 2000; 11(6 Pt 1): 805-21. doi: 10.1006/nimg.2000.0582.
10.	Turken AU, Herron TJ, Kang X, O'Connor LE, Sorenson DJ, Baldo JV, et al. Multimodal surface-based morphometry reveals diffuse cortical atrophy in traumatic brain injury. BMC Med Imaging 2009; 9: 20. doi: 10.1186/1471-2342-9-20.
11.	Van Essen DC, Drury HA.Structural and functional analyses of human cerebral cortex using a surface-based atlas. J Neurosci 1997; 17: 7079-102.
12.	Lebedev AV, Westman E, Beyer MK, Kramberger MG, Aguilar C, Pirtosek Z,et al.Multivariate classification of patients with Alzheimer's and dementia with Lewy bodies using high-dimensional cortical thickness measurements: an MRI surface-based morphometric study. J Neurol 2013; 260: 1104-15. doi: 10.1007/s00415-012-6768-z.
13.	Wang L, Goldstein FC, Veledar E, Levey AI, Lah JJ, Meltzer CC,et al.Alterations in cortical thickness and white matter integrity in mild cognitive impairment measured by whole-brain cortical thickness mapping and diffusion tensor imaging. AJNR Am J Neuroradiol 2009; 30: 893-9. doi: 10.3174/ajnr.A1484.
14.	Fischl B, Sereno MI, Tootell RB, Dale AM.High-resolution intersubject averaging and a coordinate system for the cortical surface. Hum Brain Mapp 1999; 8: 272-84. doi: 10.1002/(SICI)1097-0193(1999)8: 4<272: AID-HBM10> 3.0.CO;2-4.
15.	Fischl B, Sereno MI, Dale AM.Cortical surface-based analysis. Ⅱ: Inflation, flattening, and a surface-based coordinate system. Neuroimage 1999; 9:195-207. doi: 10.1006/nimg.1998.0396.
16.	Han X, Jovicich J, Salat D, van der Kouwe A, Quinn B, Czanner S, et al. Reliability of MRI-derived measurements of human cerebral cortical thickness: the effects of field strength, scanner upgrade and manufacturer. Neuroimage 2006; 32: 180-94. doi: 10.1016/j.neuroimage.2006.02.051.
17.	Dickerson BC, Fenstermacher E, Salat DH, Wolk DA, Maguire RP, Desikan R, et al.Detection of cortical thickness correlates of cognitive performance: Reliability across MRI scan sessions, scanners, and field strengths. Neuroimage 2008; 39: 10-8. doi: 10.1016/j.neuroimage.2007.08.042.
18.	Gronenschild EH, Habets P, Jacobs HI, Mengelers R, Rozendaal N, van Os J, et al. The effects of FreeSurfer version, workstation type, and Macintosh operating system version on anatomical volume and cortical thickness measurements. PLoS One 2012; 7: e38234. doi: 10.1371/journal.pone.0038234.

	Mean cortical thickness (mm)	Total white surface area (mm²)	Total gray surface area (mm²)	Mean convexity (mm^-1)	Mean curvature (mm^-1)
Left hemisphere
3T	2.468±0.088	0.080±0.008	0.096±0.010	0.481±0.012	0.147±0.002
7T	2.161±0.090	0.068±0.010	0.085±0.010	0.485±0.014	0.148±0.004
t	8.452	2.641	2.722	0.817	1.310
P value	0.000	0.006	0.020	0.461	0.134
Right hemisphere
3T	2.478±0.094	0.079±0.008	0.096±0.010	0.482±0.011	0.147±0.003
7T	2.130±0.084	0.060±0.007	0.075±0.008	0.469±0.021	0.154±0.005
t	9.570	4.462	5.715	1.836	4.350
P value	0.000	0.000	0.000	0.040	0.000

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