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Abstract #2720

Reproducibility of SIENAX volumetric outputs over intra-session, inter-session and inter-scanner acquisitions

Guillem Garcia1, David Moreno-Dominguez1, Matt Rowe1, Vesna Prckovska1, and Paulo Rodrigues1

1QMENTA Inc., Barcelona, Spain

Automatic tissue segmentation tools are common in the neuroimaging field. Evaluating their reliability is necessary to validate the findings of studies that use these tools. We conducted a reliability analysis for SIENAX in a test-retest dataset and a multi-site dataset. The results were analysed and compared with other automatic segmentation tools. The volumetric outputs of SIENAX show low coefficients of variance for the test-retest dataset in both grey matter (1.11%) and white matter (0.69%). In the multi-site data the results were to 3.95% and 6.47% respectively, suggesting a possible need for data harmonization in multi-site studies.

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