A Semiautomatic Method for Multiple Sclerosis Lesion Segmentation on Dual-Echo MR Imaging: Application in a Multicenter Context.

ABSTRACT:

Background and purpose

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.

Materials and methods

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.

Results

We found a mathematic expression that made the optimization of the method independent of

SUBMITTER: Storelli L 

PROVIDER: S-EPMC7963767 | biostudies-literature | 2016 Nov

REPOSITORIES: biostudies-literature