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Research ArticleAdult Brain
Open Access

Clinical Feasibility of Synthetic MRI in Multiple Sclerosis: A Diagnostic and Volumetric Validation Study

T. Granberg, M. Uppman, F. Hashim, C. Cananau, L.E. Nordin, S. Shams, J. Berglund, Y. Forslin, P. Aspelin, S. Fredrikson and M. Kristoffersen-Wiberg
American Journal of Neuroradiology June 2016, 37 (6) 1023-1029; DOI: https://doi.org/10.3174/ajnr.A4665
T. Granberg
aFrom the Departments of Clinical Science, Intervention and Technology (T.G., M.U., F.H., L.E.N., S.S., J.B., Y.F., P.A., M.K.-W.)
cDepartments of Radiology (T.G., F.H., C.C., S.S., Y.F., P.A., M.K.-W)
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M. Uppman
aFrom the Departments of Clinical Science, Intervention and Technology (T.G., M.U., F.H., L.E.N., S.S., J.B., Y.F., P.A., M.K.-W.)
dDiagnostic Medical Physics (M.U., L.E.N., J.B.)
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F. Hashim
aFrom the Departments of Clinical Science, Intervention and Technology (T.G., M.U., F.H., L.E.N., S.S., J.B., Y.F., P.A., M.K.-W.)
cDepartments of Radiology (T.G., F.H., C.C., S.S., Y.F., P.A., M.K.-W)
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C. Cananau
cDepartments of Radiology (T.G., F.H., C.C., S.S., Y.F., P.A., M.K.-W)
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L.E. Nordin
aFrom the Departments of Clinical Science, Intervention and Technology (T.G., M.U., F.H., L.E.N., S.S., J.B., Y.F., P.A., M.K.-W.)
dDiagnostic Medical Physics (M.U., L.E.N., J.B.)
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  • ORCID record for L.E. Nordin
S. Shams
aFrom the Departments of Clinical Science, Intervention and Technology (T.G., M.U., F.H., L.E.N., S.S., J.B., Y.F., P.A., M.K.-W.)
cDepartments of Radiology (T.G., F.H., C.C., S.S., Y.F., P.A., M.K.-W)
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J. Berglund
aFrom the Departments of Clinical Science, Intervention and Technology (T.G., M.U., F.H., L.E.N., S.S., J.B., Y.F., P.A., M.K.-W.)
dDiagnostic Medical Physics (M.U., L.E.N., J.B.)
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Y. Forslin
aFrom the Departments of Clinical Science, Intervention and Technology (T.G., M.U., F.H., L.E.N., S.S., J.B., Y.F., P.A., M.K.-W.)
cDepartments of Radiology (T.G., F.H., C.C., S.S., Y.F., P.A., M.K.-W)
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P. Aspelin
aFrom the Departments of Clinical Science, Intervention and Technology (T.G., M.U., F.H., L.E.N., S.S., J.B., Y.F., P.A., M.K.-W.)
cDepartments of Radiology (T.G., F.H., C.C., S.S., Y.F., P.A., M.K.-W)
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S. Fredrikson
bClinical Neuroscience (S.F.), Karolinska Institutet, Stockholm, Sweden
eNeurology (S.F.), Karolinska University Hospital, Stockholm, Sweden.
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M. Kristoffersen-Wiberg
aFrom the Departments of Clinical Science, Intervention and Technology (T.G., M.U., F.H., L.E.N., S.S., J.B., Y.F., P.A., M.K.-W.)
cDepartments of Radiology (T.G., F.H., C.C., S.S., Y.F., P.A., M.K.-W)
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Abstract

BACKGROUND AND PURPOSE: Quantitative MR imaging techniques are gaining interest as methods of reducing acquisition times while additionally providing robust measurements. This study aimed to implement a synthetic MR imaging method on a new scanner type and to compare its diagnostic accuracy and volumetry with conventional MR imaging in patients with MS and controls.

MATERIALS AND METHODS: Twenty patients with MS and 20 healthy controls were enrolled after ethics approval and written informed consent. Synthetic MR imaging was implemented on a Siemens 3T scanner. Comparable conventional and synthetic proton-density–, T1-, and T2-weighted, and FLAIR images were acquired. Diagnostic accuracy, lesion detection, and artifacts were assessed by blinded neuroradiologic evaluation, and contrast-to-noise ratios, by manual tracing. Volumetry was performed with synthetic MR imaging, FreeSurfer, FMRIB Software Library, and Statistical Parametric Mapping. Repeatability was quantified by using the coefficient of variance.

RESULTS: Synthetic proton-density–, T1-, and T2-weighted images were of sufficient or good quality and were acquired in 7% less time than with conventional MR imaging. Synthetic FLAIR images were degraded by artifacts. Lesion counts and volumes were higher in synthetic MR imaging due to differences in the contrast of dirty-appearing WM but did not affect the radiologic diagnostic classification or lesion topography (P = .50–.77). Synthetic MR imaging provided segmentations with the shortest processing time (16 seconds) and the lowest repeatability error for brain volume (0.14%), intracranial volume (0.12%), brain parenchymal fraction (0.14%), and GM fraction (0.56%).

CONCLUSIONS: Synthetic MR imaging can be an alternative to conventional MR imaging for generating diagnostic proton-density–, T1-, and T2-weighted images in patients with MS and controls while additionally delivering fast and robust volumetric measurements suitable for MS studies.

ABBREVIATIONS:

BPF
brain parenchymal fraction
BV
brain volume
CoV
coefficient of variance
GMF
gray matter fraction
ICV
intracranial volume
PD
proton density
SPM
statistical parametric mapping
SyMRI
synthetic MR imaging
WMF
white matter fraction
  • © 2016 by American Journal of Neuroradiology

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American Journal of Neuroradiology: 37 (6)
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T. Granberg, M. Uppman, F. Hashim, C. Cananau, L.E. Nordin, S. Shams, J. Berglund, Y. Forslin, P. Aspelin, S. Fredrikson, M. Kristoffersen-Wiberg
Clinical Feasibility of Synthetic MRI in Multiple Sclerosis: A Diagnostic and Volumetric Validation Study
American Journal of Neuroradiology Jun 2016, 37 (6) 1023-1029; DOI: 10.3174/ajnr.A4665

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Clinical Feasibility of Synthetic MRI in Multiple Sclerosis: A Diagnostic and Volumetric Validation Study
T. Granberg, M. Uppman, F. Hashim, C. Cananau, L.E. Nordin, S. Shams, J. Berglund, Y. Forslin, P. Aspelin, S. Fredrikson, M. Kristoffersen-Wiberg
American Journal of Neuroradiology Jun 2016, 37 (6) 1023-1029; DOI: 10.3174/ajnr.A4665
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