Automatic quantification of white matter hyperintensities on T2-weighted fluid attenuated inversion recovery magnetic resonance imaging

Igwe, K. C., Lao, P. J., Vorburger, R. S., Banerjee, A., Rivera, A., Chesebro, A., Laing, K., Manly, J. J., & Brickman, A. M. (2022). Automatic quantification of white matter hyperintensities on T2-weighted fluid attenuated inversion recovery magnetic resonance imaging. Magnetic Resonance Imaging, 85, 71–79. https://doi.org/10.1016/j.mri.2021.10.007
Authors:
Kay C. Igwe
Patrick J. Lao
Robert S. Vorburger
Arit Banerjee
Andres Rivera
Anthony Chesebro
Krystal Laing
Jennifer J. Manly
Adam M. Brickman
Affiliated Authors:
Kay C. Igwe
Patrick J. Lao
Arit Banerjee
Andres Rivera
Anthony Chesebro
Krystal Laing
Jennifer J. Manly
Adam M. Brickman
Columbia Affiliation:
Author Keywords:
automated segmentation
half gaussian mixture model
mixture model
small vessel cerebrovascular disease
white matter hyperintensity
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Publication Type:
Article
Unique ID:
10.1016/j.mri.2021.10.007
PMID:
34662699
DOI:
10.1016/j.mri.2021.10.007
Journal:
Magnetic Resonance Imaging
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record

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