Estimation of Multiple Sclerosis lesion age on magnetic resonance imaging

We introduce the first-ever statistical framework for estimating the age of Multiple Sclerosis (MS) lesions from magnetic resonance imaging (MRI). Estimating lesion age is an important step when studying the longitudinal behavior of MS lesions and can be used in applications such as studying the tem...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Jg. 225; S. 117451
Hauptverfasser:	Sweeney, Elizabeth M., Nguyen, Thanh D., Kuceyeski, Amy, Ryan, Sarah M., Zhang, Shun, Zexter, Lily, Wang, Yi, Gauthier, Susan A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Inc 15.01.2021 Elsevier Limited Elsevier
Schlagworte:	Adult Age Age determination Algorithms Brain - diagnostic imaging Contrast Media Female Gadolinium Humans Lesions Longitudinal studies Machine Learning Magnetic Resonance Imaging Male Middle Aged Multiple sclerosis Multiple Sclerosis - diagnostic imaging Patients Radiomics Reproducibility of Results Scanners Statistical analysis Time Factors
ISSN:	1053-8119, 1095-9572, 1095-9572
Online-Zugang:	Volltext
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