Cross-sectional robustness of 6 freely available software packages for brain volume measurements in multiple sclerosis
David Rudolf van Nederpelt1, Houshang Amiri1,2, Amanda Mariyampillai1, Iman Brouwer1, Samantha Noteboom3, Frederik Barkhof1,4, Joost P.A. Kuijer1, and Hugo Vrenken1
1Radiology and nuclear medicine, Amsterdam UMC, location VUmc, Amsterdam, Netherlands, 2Neuroscience research center, Kerman University of Medical Sciences, Kerman, Iran (Islamic Republic of), 3Anatomy and Neurosciences, Amsterdam UMC, location VUmc, Amsterdam, Netherlands, 4Institutes of Neurology and Healthcare Engineering, UCL London, London, United Kingdom
Automated segmentation of brain MR images has paved the way for large cohort atrophy studies in multiple sclerosis (MS). A variety of automated software packages is available. Here we aimed to quantify brain volume differences measured by six freely available software packages on data from 21 MS patients all scanned thrice on three different MR scanners. While intra-class correlation coefficients were high, systematic differences between scanners were found for every software. This suggests that direct comparison of volumes acquired with different scanners is not possible and standardization is needed.
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