Abstract #1783

Comparison of Thalamus Segmentation Using Publicly Available Segmentation Methods in a Pediatric Population

Salem Hannoun¹, Rayyan Tutunji², Maria El Homsi², and Roula Hourany²

¹Nehme and Therese Tohme Multiple Sclerosis Center, American University of Beirut Medical Center, Beirut, Lebanon, ²Radiology Department, American University of Beirut Medical Center, Beirut, Lebanon

107 subjects were recruited between the ages of one month and 18 years. The study aimed to investigate the differences in the accuracy of five publicly available segmentation techniques on T1-enhanced and non-enhanced images compared to manual segmentation of the thalamus in a pediatric population. volBrain had the best outcomes in enhanced and non-enhanced images. Image segmentation using volBrain is the ideal methodology for thalamus segmentation. Gadolinium-enhancement negatively affects the outcomes of all the tested automated segmentation.

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