BIANCA (Brain Intensity AbNormality Classification Algorithm): A new tool for automated segmentation of white matter hyperintensities

Reliable quantification of white matter hyperintensities of presumed vascular origin (WMHs) is increasingly needed, given the presence of these MRI findings in patients with several neurological and vascular disorders, as well as in elderly healthy subjects. We present BIANCA (Brain Intensity AbNorm...

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Veröffentlicht in:	NeuroImage (Orlando, Fla.) Jg. 141; S. 191 - 205
Hauptverfasser:	Griffanti, Ludovica, Zamboni, Giovanna, Khan, Aamira, Li, Linxin, Bonifacio, Guendalina, Sundaresan, Vaanathi, Schulz, Ursula G., Kuker, Wilhelm, Battaglini, Marco, Rothwell, Peter M., Jenkinson, Mark
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Inc 01.11.2016 Elsevier Limited Academic Press
Schlagworte:	Aged Aged, 80 and over Aging Algorithms Automated segmentation Automation Brain - diagnostic imaging Brain - pathology Brain MRI Brain research Classification Datasets Dementia Diffusion Tensor Imaging Female Geriatrics Humans Hypertension Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Leukoaraiosis - diagnostic imaging Leukoaraiosis - pathology Localization Magnetic resonance imaging Male Methods Middle Aged Neurodegeneration Neurological diseases Pattern Recognition, Automated - methods Reproducibility of Results Segmentation Sensitivity and Specificity Studies Substantia alba Vascular pathology White Matter - diagnostic imaging White Matter - pathology White matter hyperintensities White matter hyperintensities Brain MRI Neurodegeneration Automated segmentation Vascular pathology
ISSN:	1053-8119, 1095-9572, 1095-9572
Online-Zugang:	Volltext
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