Meeting Banner
Abstract #4572

Quantifying motion and temporal SNR in fetal functional MRI within a large cohort

Saige Rutherford1 and Melissa Haskell2
1Psychiatry, University of Michigan, Ann Arbor, MI, United States, 2Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States

In this work we leverage a large dataset consisting of 535 fMRI sessions from 248 unique subjects to assess the data quality of fetal resting state functional MRI. Our main goal is to describe the quality of fetal resting state fMRI after image post-processing. We quantify how much motion is present, apply a range of motion censoring thresholds to show how much data remains post-censoring, and evaluate the temporal signal to noise ratio of the time-series pre and post motion correction. Our results show very low average tSNR (2.7-3.7) and high percentages (40-95%) of discarded data.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here