Accuracy and reproducibility of automated white matter hyperintensities segmentation with lesion segmentation tool: A European multi-site 3T study
- Ribaldi F.
- Altomare D.
- Jovicich J.
- Ferrari C.
- Picco A.
- Pizzini F. B.
- Soricelli A.
- Mega A.
- Ferretti A.
- Drevelegas A.
- Bosch B.
- Muller B. W.
- Marra C.
- Cavaliere C.
- Bartres-Faz D.
- Nobili F.
- Alessandrini F.
- Barkhof F.
- Gros-Dagnac H.
- Ranjeva J. -P.
- Wiltfang J.
- Kuijer J.
- Sein J.
- Hoffmann K. -T.
- Roccatagliata L.
- Parnetti L.
- Tsolaki M.
- Constantinidis M.
- Aiello M.
- Salvatore M.
- Montalti M.
- Caulo M.
- Didic M.
- Bargallo N.
- Blin O.
- Rossini P. M.
- Schonknecht P.
- Floridi P.
- Payoux P.
- Visser P. J.
- Bordet R.
- Lopes R.
- Tarducci R.
- Bombois S.
- Hensch T.
- Fiedler U.
- Richardson J. C.
- Frisoni G. B.
- Marizzoni M.
DOIAbstract
Brain vascular damage accumulate in aging and often manifest as white matter hyperintensities (WMHs) on MRI. Despite increased interest in automated methods to segment WMHs, a gold standard has not been achieved and their longitudinal reproducibility has been poorly investigated. The aim of present work is to evaluate accuracy and reproducibility of two freely available segmentation algorithms. A harmonized MRI protocol was implemented in 3T-scanners across 13 European sites, each scanning five volunteers twice (test-retest) using 2D-FLAIR. Automated segmentation was performed using Lesion segmentation tool algorithms (LST): the Lesion growth algorithm (LGA) in SPM8 and 12 and the Lesion prediction algorithm (LPA). To assess reproducibility...
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