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Abstract #7812

Image Analysis

Anastasia Yendiki1

1Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School and Massachusetts General Hospital

Combining MRI data collected at multiple sites allows researchers to achieve the large sample sizes required to detect subtle disease effects, although at the expense of increased inhomogeneity in the data due to differences in acquisition hardware and software. This presentation will address what is known about the reproducibility of biomarkers derived from structural, functional, and diffusion MRI data across scanners from different vendors, as well as image analysis strategies that have been proposed to mitigate the effects of scanner-related differences.

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