Cited by 48Advanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and ApplicationsMedical Image Segmentation Techniques

Voxel-based morphometry at ultra-high fields. A comparison of 7T and 3T MRI data

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Seiger, Rene, Hahn, Andreas, Hummer, Allan, Kranz, Georg S., Ganger, Sebastian, Küblböck, Martin, Kraus, Christoph, Sladky, Ronald +3 more·2015·NeuroImage

Abstract

Recent technological progress enables MRI recordings at ultra-high fields of 7 T and above leading to brain images of higher resolution and increased signal-to-noise ratio. Despite these benefits, imaging at 7 T exhibits distinct challenges due to B1 field inhomogeneities, causing decreased image quality and problems in data analysis. Although several strategies have been proposed, a systematic investigation of bias-corrected 7 T data for voxel-based morphometry (VBM) is still missing and it is an ongoing matter of debate if VBM at 7 T can be carried out properly. Here, an optimized VBM study was conducted, evaluating the impact of field strength (3T vs. 7 T) and pulse sequence (MPRAGE vs. MP2RAGE) on gray matter volume (GMV) estimates. More specifically, twenty-two participants were measured under the conditions 3T MPRAGE, 7 T MPRAGE and 7 T MP2RAGE. Due to the fact that 7 T MPRAGE data exhibited strong intensity inhomogeneities, an alternative preprocessing pipeline was proposed and applied for that data. VBM analysis revealed higher GMV estimates for 7 T predominantly in superior cortical areas, caudate nucleus, cingulate cortex and the hippocampus. On the other hand, 3T yielded higher estimates especially in inferior cortical areas of the brain, cerebellum, thalamus and putamen compared to 7 T. Besides minor exceptions, these results were observed for 7 T MPRAGE as well for the 7 T MP2RAGE measurements. Results gained in the inferior parts of the brain should be taken with caution, as native GM segmentations displayed misclassifications in these regions for both 7 T sequences. This was supported by the test-retest measurements showing highest variability in these inferior regions of the brain for 7 T and also for the advanced MP2RAGE sequence. Hence, our data support the use of 7 T MRI for VBM analysis in cortical areas, but direct comparison between field strengths and sequences requires careful assessment. Similarly, analysis of the inferior cortical regions, cerebellum and subcortical regions still remains challenging at 7 T even if the advanced MP2RAGE sequence is used.

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Crossref · 10.1016/j.neuroimage.2015.03.019

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  • Recent advances in ultra-high resolution with 7 T allow, with certain restrictions to several brain areas, a minimal resolution below 1 mm3.

    “While high resolution structural MRI at field strengths of 3 T and computerized volumetric analyses are the current state-of-the-art techniques in vivo to quantify gray matter microstructure at a minimal resolution around 1 mm 3 (Lenglet et al., 2012) recent advances ultra-high resolution with 7 T allow, with certain restrictions to several brain areas, a minimal resolution below 1 mm 3 (Seiger et”

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Authors
Seiger, R., Hahn, A., Hummer, A., Kranz, G. S., Ganger, S., Küblböck, M., Kraus, C., Sladky, R., Kasper, S., Windischberger, C., & Lanzenberger, R.
Affiliations
Medical University of Vienna (AT)
Corresponding author
Lanzenberger, Rupert
Venue
NeuroImage
Publisher
Elsevier BV
Published
2015-06
Volume
113
Pages
207-216
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2063399989
Cited by
48
References
34
Citations by year
2026: 6 · 2025: 4 · 2024: 3 · 2022: 1 · 2021: 6 · 2020: 6 · 2019: 5 · 2018: 6 · 2017: 5 · 2016: 3 · 2015: 3
FWCI
4.59
Type
journal article
Language
en
Open access
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
Austrian Science Fund (P23021)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
Keywords
voxel-based morphometry, 7T MRI, ultra-high field MRI, gray matter volume, B1 inhomogeneity, MP2RAGE, MPRAGE, bias correction, gray matter segmentation, test-retest variability, subcortical structures, cerebellum, hippocampus
MeSH terms
Adult, Algorithms, Brain, Brain Mapping, Electromagnetic Fields, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Reproducibility of Results, Whole Body Imaging, Young Adult, Signal-To-Noise Ratio

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