Optimizing parameter choice for FSL-Brain Extraction Tool (BET) on 3D T1 images in multiple sclerosis

Valeriu Popescu; M Battaglini; W S Hoogstrate; S C J Verfaillie; I C Sluimer; R A van Schijndel; B W van Dijk; K S Cover; D L Knol; M Jenkinson; F Barkhof; N de Stefano; H Vrenken; MAGNIMS Study Group; Jette Lautrup Battistini Frederiksen

doi:10.1016/j.neuroimage.2012.03.074

Optimizing parameter choice for FSL-Brain Extraction Tool (BET) on 3D T1 images in multiple sclerosis

Valeriu Popescu, M Battaglini, W S Hoogstrate, S C J Verfaillie, I C Sluimer, R A van Schijndel, B W van Dijk, K S Cover, D L Knol, M Jenkinson, F Barkhof, N de Stefano, H Vrenken, MAGNIMS Study Group, Jette Lautrup Battistini Frederiksen

Afdeling for Hjerne- og Nervesygdomme NEU

148 Citationer (Scopus)

Abstract

Brain atrophy studies often use FSL-BET (Brain Extraction Tool) as the first step of image processing. Default BET does not always give satisfactory results on 3DT1 MR images, which negatively impacts atrophy measurements. Finding the right alternative BET settings can be a difficult and time-consuming task, which can introduce unwanted variability.

Originalsprog	Engelsk
Tidsskrift	NeuroImage
Vol/bind	61
Udgave nummer	4
Sider (fra-til)	1484-94
Antal sider	11
ISSN	1053-8119
DOI	https://doi.org/10.1016/j.neuroimage.2012.03.074
Status	Udgivet - 2012

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Popescu, V., Battaglini, M., Hoogstrate, W. S., Verfaillie, S. C. J., Sluimer, I. C., van Schijndel, R. A., van Dijk, B. W., Cover, K. S., Knol, D. L., Jenkinson, M., Barkhof, F., de Stefano, N., Vrenken, H., MAGNIMS Study Group, & Frederiksen, J. L. B. (2012). Optimizing parameter choice for FSL-Brain Extraction Tool (BET) on 3D T1 images in multiple sclerosis. NeuroImage, 61(4), 1484-94. https://doi.org/10.1016/j.neuroimage.2012.03.074

Popescu, V, Battaglini, M, Hoogstrate, WS, Verfaillie, SCJ, Sluimer, IC, van Schijndel, RA, van Dijk, BW, Cover, KS, Knol, DL, Jenkinson, M, Barkhof, F, de Stefano, N, Vrenken, H, MAGNIMS Study Group & Frederiksen, JLB 2012, 'Optimizing parameter choice for FSL-Brain Extraction Tool (BET) on 3D T1 images in multiple sclerosis', NeuroImage, bind 61, nr. 4, s. 1484-94. https://doi.org/10.1016/j.neuroimage.2012.03.074

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title = "Optimizing parameter choice for FSL-Brain Extraction Tool (BET) on 3D T1 images in multiple sclerosis",

abstract = "Brain atrophy studies often use FSL-BET (Brain Extraction Tool) as the first step of image processing. Default BET does not always give satisfactory results on 3DT1 MR images, which negatively impacts atrophy measurements. Finding the right alternative BET settings can be a difficult and time-consuming task, which can introduce unwanted variability.",

keywords = "Adult, Atrophy, Brain, Female, Humans, Image Interpretation, Computer-Assisted, Imaging, Three-Dimensional, Magnetic Resonance Imaging, Male, Middle Aged, Multiple Sclerosis",

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year = "2012",

doi = "10.1016/j.neuroimage.2012.03.074",

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AU - Popescu, Valeriu

AU - Battaglini, M

AU - Hoogstrate, W S

AU - Verfaillie, S C J

AU - Sluimer, I C

AU - van Schijndel, R A

AU - van Dijk, B W

AU - Cover, K S

AU - Knol, D L

AU - Jenkinson, M

AU - Barkhof, F

AU - de Stefano, N

AU - Vrenken, H

AU - MAGNIMS Study Group

AU - Frederiksen, Jette Lautrup Battistini

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AB - Brain atrophy studies often use FSL-BET (Brain Extraction Tool) as the first step of image processing. Default BET does not always give satisfactory results on 3DT1 MR images, which negatively impacts atrophy measurements. Finding the right alternative BET settings can be a difficult and time-consuming task, which can introduce unwanted variability.

KW - Adult

KW - Atrophy

KW - Brain

KW - Female

KW - Humans

KW - Image Interpretation, Computer-Assisted

KW - Imaging, Three-Dimensional

KW - Magnetic Resonance Imaging

KW - Male

KW - Middle Aged

KW - Multiple Sclerosis

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DO - 10.1016/j.neuroimage.2012.03.074

M3 - Journal article

C2 - 22484407

SN - 1053-8119

VL - 61

SP - 1484

EP - 1494

JO - NeuroImage

JF - NeuroImage

IS - 4

ER -

Optimizing parameter choice for FSL-Brain Extraction Tool (BET) on 3D T1 images in multiple sclerosis

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