Cargando…
Robustness of Automated Methods for Brain Volume Measurements across Different MRI Field Strengths
INTRODUCTION: Pooling of multicenter brain imaging data is a trend in studies on ageing related brain diseases. This poses challenges to MR-based brain segmentation. The performance across different field strengths of three widely used automated methods for brain volume measurements was assessed in...
Autores principales: | Heinen, Rutger, Bouvy, Willem H., Mendrik, Adrienne M., Viergever, Max A., Biessels, Geert Jan, de Bresser, Jeroen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5087903/ https://www.ncbi.nlm.nih.gov/pubmed/27798694 http://dx.doi.org/10.1371/journal.pone.0165719 |
Ejemplares similares
-
Evaluation of a deep learning approach for the segmentation of brain tissues and white matter hyperintensities of presumed vascular origin in MRI
por: Moeskops, Pim, et al.
Publicado: (2017) -
White matter hyperintensity shape and location feature analysis on brain MRI; proof of principle study in patients with diabetes
por: de Bresser, Jeroen, et al.
Publicado: (2018) -
The cumulative effect of small vessel disease lesions is reflected in structural brain networks of memory clinic patients
por: Heinen, Rutger, et al.
Publicado: (2018) -
Semi-Automated Detection of Cerebral Microbleeds on 3.0 T MR Images
por: Kuijf, Hugo J., et al.
Publicado: (2013) -
Quantification of deep medullary veins at 7 T brain MRI
por: Kuijf, Hugo J., et al.
Publicado: (2016)