Using mathematics in MRI data management for glioma assesment.
Differential equations
In silico models
MRI imaging
Models
NMR data
Review
Statistics
Journal
Journal of neuroradiology = Journal de neuroradiologie
ISSN: 0150-9861
Titre abrégé: J Neuroradiol
Pays: France
ID NLM: 7705086
Informations de publication
Date de publication:
Jun 2021
Jun 2021
Historique:
received:
11
07
2019
revised:
25
10
2019
accepted:
26
11
2019
pubmed:
8
12
2019
medline:
26
11
2021
entrez:
8
12
2019
Statut:
ppublish
Résumé
Our aim is to review the mathematical tools usefulness in MR data management for glioma diagnosis and treatment optimization. MRI does not give access to organs variations in hours or days. However a lot of multiparametric data are generated. Mathematics could help to override this paradox, the aim of this article is to show how. We first make a review on mathematical modelling using equations. Afterwards we present statistical analysis. We provide detailed examples in both sections. We finally conclude, giving some clues on in silico models.
Identifiants
pubmed: 31811826
pii: S0150-9861(19)30469-9
doi: 10.1016/j.neurad.2019.11.004
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
282-290Informations de copyright
Copyright © 2019 Elsevier Masson SAS. All rights reserved.