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Article

Magnetic Susceptibility Source Separation Solely from Gradient Echo Data: Histological Validation

1
Department of Radiology, Weill Cornell Medicine, New York, NY 10065, USA
2
Department of Neurology, Yale Medicine, New Haven, CT 06511, USA
3
Department of Neurology, Weill Cornell Medicine, New York, NY 10022, USA
4
Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Emilio Quaia
Tomography 2022, 8(3), 1544-1551; https://doi.org/10.3390/tomography8030127
Received: 22 May 2022 / Revised: 9 June 2022 / Accepted: 11 June 2022 / Published: 14 June 2022
(This article belongs to the Section Brain Imaging)
Quantitative susceptibility mapping (QSM) facilitates mapping of the bulk magnetic susceptibility of tissue from the phase of complex gradient echo (GRE) MRI data. QSM phase processing combined with an R2* model of magnitude of multiecho gradient echo data (R2*QSM) allows separation of dia- and para-magnetic components (e.g., myelin and iron) that contribute constructively to R2* value but destructively to the QSM value of a voxel. This R2*QSM technique is validated against quantitative histology—optical density of myelin basic protein and Perls’ iron histological stains of rim and core of 10 ex vivo multiple sclerosis lesions, as well as neighboring normal appearing white matter. We found that R2*QSM source maps are in good qualitative agreement with histology, e.g., showing increased iron concentration at the edge of the rim+ lesions and myelin loss in the lesions’ core. Furthermore, our results indicate statistically significant correlation between paramagnetic and diamagnetic tissue components estimated with R2*QSM and optical densities of Perls’ and MPB stains. These findings provide direct support for the use of R2*QSM magnetic source separation based solely on GRE complex data to characterize MS lesion composition. View Full-Text
Keywords: quantitative susceptibility mapping; susceptibility source separation; myelin quantification; iron quantification quantitative susceptibility mapping; susceptibility source separation; myelin quantification; iron quantification
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MDPI and ACS Style

Dimov, A.V.; Gillen, K.M.; Nguyen, T.D.; Kang, J.; Sharma, R.; Pitt, D.; Gauthier, S.A.; Wang, Y. Magnetic Susceptibility Source Separation Solely from Gradient Echo Data: Histological Validation. Tomography 2022, 8, 1544-1551. https://doi.org/10.3390/tomography8030127

AMA Style

Dimov AV, Gillen KM, Nguyen TD, Kang J, Sharma R, Pitt D, Gauthier SA, Wang Y. Magnetic Susceptibility Source Separation Solely from Gradient Echo Data: Histological Validation. Tomography. 2022; 8(3):1544-1551. https://doi.org/10.3390/tomography8030127

Chicago/Turabian Style

Dimov, Alexey V., Kelly M. Gillen, Thanh D. Nguyen, Jerry Kang, Ria Sharma, David Pitt, Susan A. Gauthier, and Yi Wang. 2022. "Magnetic Susceptibility Source Separation Solely from Gradient Echo Data: Histological Validation" Tomography 8, no. 3: 1544-1551. https://doi.org/10.3390/tomography8030127

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