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Abstract #3212

Unsupervised motion correction for real-time free-breathing flow acquisitions: high SNR, single heart-beat, pseudo-breathheld flow images easy to quantify

Haris Saybasili1 and Ning Jin2

1MR R&D, Siemens Healthcare USA, Inc., Chicago, IL, United States, 2MR R&D, Siemens Healthcare USA, Inc., Columbus, OH, United States

Flow quantification on uncooperative patients that cannot hold their breath may be performed by real-time free-breathing flow acquisitions that generally cover multiple heart-beats. However, heart-rate fluctuations, low SNR, and respiratory motion associated with such acquisitions may impede flow quantification process. In this study, we are extending our unsupervised motion correction method for real-time free-breathing cine imaging to flow imaging, and comparing the results with gold standard ECG gated, breath-held, segmented flow acquisition. Preliminary results indicate net forward volumes in agreement with the reference, with comparable image quality.

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