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Abstract #3758

Lesion simulation software LESIM: a robust and flexible tool for realistic simulation of white matter lesions

Merlin M. Weeda1, Alexandra de Sitter1, Iman Brouwer1, Mitchell M. de Boer1, Rick J. van Tuijl1, Petra J.W. Pouwels1, Frederik Barkhof1,2, and Hugo Vrenken1
1Radiology and Nuclear Medicine, Amsterdam UMC - Location VUmc, Amsterdam, Netherlands, 2Institutes of Neurology and Healthcare Engineering UCL, London, United Kingdom

Multiple sclerosis(MS) is characterized by white matter(WM) lesions and grey matter(GM) atrophy in the central nervous system. Software to measure GM atrophy is severely hindered by the presence of lesions. In order to facilitate development of accurate GM segmentation software in the presence of WM lesions, we present a novel, robust, flexible and open-source lesion simulation tool: LESIM. Initial analysis with 25 LESIM lesion simulated images shows natural-looking lesions in the correct locations, with correct signal-to-noise ratio and intensity compared to the rest of the image. Analysis with FSL-SIENAX confirms that GM segmentation is affected in HCs with simulated lesions.

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