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Abstract #4588

Fetal 4D flow bulk motion estimation – k-space versus image-based surrogates

Eric M. Schrauben1, Reagan Tompkins1, Erin K Englund2, Takashi Fujiwara2, Lorna P Browne2, Pim van Ooij1, and Alex J Barker2
1Radiology and Nuclear Medicine, Amsterdam UMC, Amsterdam, Netherlands, 2Radiology, Section of Pediatric Radiology, University of Colorado Anschutz Medical Campus, Denver, CO, United States

Synopsis

Keywords: Motion Correction, Motion Correction

Motivation: As motion is inevitable during longer fetal 4D flow acquisitions, detecting and correcting sporadic bulk motion is necessary to ensure adequate image quality.

Goal(s): To develop automated k-space-based motion navigation for maternal respiration and fetal bulk motion, and compare it with an image-based surrogate for bulk motion.

Approach: Maternal respiration and fetal bulk motion are simultaneously extracted through principal component analysis of all k0 readouts and edge filtering for detection of bulk motion events.

Results: K-space-based detection and correction of fetal bulk motion is feasible. No significant differences were found in image quality or quantitative analysis across reconstruction types.

Impact: Automating detection of fetal bulk motion over longer (e.g. 4D flow) scans allows for more robust motion rejection.

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Keywords