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Abstract #0985

Towards Robust Reproducibility Study for MRSI via Fully Automated Reproducible Imaging Positioning

Wei Bian 1 , Yan Li 1 , Jason C. Crane 1 , and Sarah J. Nelson 1

1 Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States

Repeatable volume positioning holds the key toward a robust reproducibility study for MRSI. In this study the repeatability of an atlas-based fully automated MRSI positioning method was evaluated. Our results showed that the method was highly reproducible with high percentage of overlap of target volume between serial scans. Also the reproducibility and reliability of metabolite ratios assessed respectively by the coefficient of variance and intraclass correlation coefficient showed no significant difference between intra- and inter-scans. This atlas-based method may provide a standard pipeline for assessing MRSI reproducibility, from the image acquisition to presentation of results on a template image space.

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