biostudies-literatureUnknown37(11)Storelli L<h4>Background and purpose</h4>The automatic segmentation of MS lesions could reduce time required for image processing together with inter- and intraoperator variability for research and clinical trials. A multicenter validation of a proposed semiautomatic method for hyperintense MS lesion segmentation on dual-echo MR imaging is presented.<h4>Materials and methods</h4>The classification technique used is based on a region-growing approach starting from manual lesion identification by an expert observer with a final segmentation-refinement step. The method was validated in a cohort of 52 patients with relapsing-remitting MS, with dual-echo images acquired in 6 different European centers.<h4>Results</h4>We found a mathematic expression that made the optimization of the method independent ofAJNR. American journal of neuroradiology2043-2049https://www.ebi.ac.uk/biostudies/studies/S-EPMC7963767biostudies-literatureA Semiautomatic Method for Multiple Sclerosis Lesion Segmentation on Dual-Echo MR Imaging: Application in a Multicenter Context.PMC7963767Enzinger CPreziosa PPagani EFilippi MThomas DLRopele SStorelli LBisecco ADe Stefano NBattaglini MRocca MAHorsfield MAGallo AVrenken HMancini LfalseA Semiautomatic Method for Multiple Sclerosis Lesion Segmentation on Dual-Echo MR Imaging: Application in a Multicenter Context.<h4>Background and purpose</h4>The automatic segmentation of MS lesions could reduce time required for image processing together with inter- and intraoperator variability for research and clinical trials. A multicenter validation of a proposed semiautomatic method for hyperintense MS lesion segmentation on dual-echo MR imaging is presented.<h4>Materials and methods</h4>The classification technique used is based on a region-growing approach starting from manual lesion identification by an expert observer with a final segmentation-refinement step. The method was validated in a cohort of 52 patients with relapsing-remitting MS, with dual-echo images acquired in 6 different European centers.<h4>Results</h4>We found a mathematic expression that made the optimization of the method independent of2016-01-01T00:00:00Z2016 Nov2025-04-05T15:24:23.648Z2025-04-05T15:24:23.648ZS-EPMC79637672744493810.3174/ajnr.a487410.3174/ajnr.A4874