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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