A0294
Title: Modern neuroimaging data harmonization methods for multi-center studies
Authors: Russell Shinohara - University of Pennsylvania (United States) [presenting]
Abstract: While magnetic resonance imaging (MRI) studies are critical for the diagnosis, monitoring, and study of a wide variety of diseases, their use in quantitative analysis can be complex. An increasingly recognized issue involves the differences between MRI scanners that are used in large multi-center studies. To address this, the current state of the art is to "regress out'' or "adjust for'' scanner differences. The field has found these methods to be insufficient, and recent developments are explored to address unique imaging data structures and analytic goals for which specialized harmonization methods are crucial. Available tools are further compared and contrasted for several common neuroimaging data settings.
