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Research ArticleADULT BRAIN
Open Access

Brain Injury Lesion Imaging Using Preconditioned Quantitative Susceptibility Mapping without Skull Stripping

S. Soman, Z. Liu, G. Kim, U. Nemec, S.J. Holdsworth, K. Main, B. Lee, S. Kolakowsky-Hayner, M. Selim, A.J. Furst, P. Massaband, J. Yesavage, M.M. Adamson, P. Spincemallie, M. Moseley and Y. Wang
American Journal of Neuroradiology April 2018, 39 (4) 648-653; DOI: https://doi.org/10.3174/ajnr.A5550
S. Soman
aFrom the Departments of Radiology (S.S., G.K., B.L.)
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Z. Liu
cDepartment of Biomedical Engineering (Z.L., Y.W.), Cornell University, New York, New York
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G. Kim
aFrom the Departments of Radiology (S.S., G.K., B.L.)
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U. Nemec
dDepartment of Biomedical Imaging and Image-Guided Therapy (U.N.), Medical University of Vienna, Vienna, Austria
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S.J. Holdsworth
eDepartments of Radiology (S.J.H., P.M., M.M.)
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K. Main
hResearch Division, Defense and Veterans Brain Injury Center (K.M.), General Dynamics Health Solutions, Silver Spring, Maryland
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B. Lee
aFrom the Departments of Radiology (S.S., G.K., B.L.)
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S. Kolakowsky-Hayner
iDepartment of Rehabilitation Medicine (S.K.-H.), Icahn School of Medicine at Mount Sinai, New York, New York
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M. Selim
bNeurology (M.S.), Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
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A.J. Furst
fPsychiatry and Behavioral Sciences (A.J.F., J.Y., M.M.A.)
jDepartments of Psychiatry (A.J.F., J.Y.)
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P. Massaband
eDepartments of Radiology (S.J.H., P.M., M.M.)
kRadiology (P.M.)
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J. Yesavage
fPsychiatry and Behavioral Sciences (A.J.F., J.Y., M.M.A.)
jDepartments of Psychiatry (A.J.F., J.Y.)
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M.M. Adamson
fPsychiatry and Behavioral Sciences (A.J.F., J.Y., M.M.A.)
gNeurosurgery (M.M.A.), Stanford University, Stanford, California
lDefense and Veterans Brain Injury Center (M.M.A.), VA Palo Alto Health Care System, Palo Alto, California
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P. Spincemallie
mDepartment of Radiology (P.S., Y.W.), Weil Cornell Medical College, New York, New York.
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M. Moseley
eDepartments of Radiology (S.J.H., P.M., M.M.)
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Y. Wang
cDepartment of Biomedical Engineering (Z.L., Y.W.), Cornell University, New York, New York
mDepartment of Radiology (P.S., Y.W.), Weil Cornell Medical College, New York, New York.
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    Fig 1.

    Paramagnetic right temporal hemorrhage is hypointense on magnitude 3D GRE (TE = 17.3 ms) (A) and hyperintense on mQSM (B) and pQSM (C) images (white dashed arrows). The diamagnetic calcification in bone (white solid arrows) is mostly hypointense on 3D GRE (A) and pQSM (C) and not present on mQSM (B) secondary to masking. Some areas of hyperintensity within the bone may represent diamagnetic structures, such as veins or artifacts. Left temporal lobe parenchyma next to hemorrhage is eroded on the mQSM (B), but preserved on magnitude and pQSM (C) images (white circles).

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    Fig 2.

    Right cerebellar hemorrhage is hypointense on magnitude 3D GRE (TE = 14.3 ms) (A). This part of the cerebellar parenchyma has been eroded on mQSM (B) and so is not visible due to masking. The same anatomy is preserved on pQSM (C), and hemorrhage is demonstrated (white solid arrows and circles). Additionally, an absent section of the right temporal brain parenchyma on mQSM (B) is partially preserved on the pQSM (C) relative to the 3D GRE image (A) (white dashed arrows and dashed circles). Note areas of black pixels within the white dashed circles on the mQSM and pQSM images (B and C) that correspond to brain tissue seen on 3D GRE image (A) indicate areas of nonvisualized brain.

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    Fig 3.

    Magnitude 3D GRE (TE = 14.3 ms) (A), mQSM (B), and pQSM (C) images demonstrating partial pQSM image depiction relative to mQSM. An area of the right inferior frontal lobe present on the 3D GRE image is present on the pQSM image and absent on mQSM image (black solid arrows). An adjacent inferior frontal lobe is present on the 3D GRE image, distorted on the pQSM image, and absent on the mQSM (white dashed arrows).

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    Fig 4.

    pQSM (C) demonstrates worse nonspecific diffuse low signal in the pons compared with mQSM (B), with no corresponding abnormality on the magnitude 3D GRE (TE = 41.8 ms) image (A) (white dashed arrows). Note that areas of hypointensity are in different positions within the pons.

Tables

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    Table 1:

    Subject demographics across Ohio TBI Scores23 (n = 56)

    Ohio TBI ScoreSexAge (yr)Blood on GRENonvisualized Brain
    MaleFemaleMean AgeSDAge Rangeon mQSMon pQSM
    All342242.114.4277820–7410315
        1 (none)13941.714.687820–741133
        2 (mild)2244.015.7162327–58130
        3 (mild)8547.014.9443430–71481
        4 (moderate)2145.713.5030932–59010
        5 (severe)9537.913.9662123–64451
    Correlation across TBI severityχ2 = 0.17, P = .98aANOVA F(3,52) = 0.74, P = .53P = .11bχ2 = 2.20, P = .53aP = .88b
    Correlation with blood products on 3D GREχ2 = 0.04, P = .86aP = .49c–χ2 = 2.99, P = .08aP = .10b
    • ↵a χ2 test.

    • ↵b Fisher exact test.

    • ↵c Student t test.

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    Table 2:

    3D GRE, mQSM, and pQSM image review results (n = 56)

    FeatureCount%
    Blood products
        3D GRE1018
        mQSM47
        pQSM1018
    Nonvisualized brain tissue on
        mQSM, pQSM visible3155
        mQSM and pQSM, less on pQSM59
        pQSM, mQSM visible00
    Pons probable artifacts, more visible on
        pQSM611
        mQSM00
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American Journal of Neuroradiology: 39 (4)
American Journal of Neuroradiology
Vol. 39, Issue 4
1 Apr 2018
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S. Soman, Z. Liu, G. Kim, U. Nemec, S.J. Holdsworth, K. Main, B. Lee, S. Kolakowsky-Hayner, M. Selim, A.J. Furst, P. Massaband, J. Yesavage, M.M. Adamson, P. Spincemallie, M. Moseley, Y. Wang
Brain Injury Lesion Imaging Using Preconditioned Quantitative Susceptibility Mapping without Skull Stripping
American Journal of Neuroradiology Apr 2018, 39 (4) 648-653; DOI: 10.3174/ajnr.A5550

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Brain Injury Lesion Imaging Using Preconditioned Quantitative Susceptibility Mapping without Skull Stripping
S. Soman, Z. Liu, G. Kim, U. Nemec, S.J. Holdsworth, K. Main, B. Lee, S. Kolakowsky-Hayner, M. Selim, A.J. Furst, P. Massaband, J. Yesavage, M.M. Adamson, P. Spincemallie, M. Moseley, Y. Wang
American Journal of Neuroradiology Apr 2018, 39 (4) 648-653; DOI: 10.3174/ajnr.A5550
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  • Quantitative Susceptibility Mapping for Staging Acute Cerebral Hemorrhages: Comparing the Conventional and Multiecho Complex Total Field Inversion magnetic resonance imaging MR Methods
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    Journal of Magnetic Resonance Imaging 2021 54 6
  • Quantitative susceptibility mapping improves cerebral microbleed detection relative to susceptibility‐weighted images
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  • Enhanced Reader Confidence and Differentiation of Calcification from Cerebral Microbleed Diagnosis Using QSM Relative to SWI
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