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

• Published in: NeuroImage (Orlando, Fla.) Vol. 141; pp. 191 - 205
• Main Authors: 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
• Language: English
• Published: United States Elsevier Inc 01.11.2016; Elsevier Limited; Academic Press
• Subjects: 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

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...