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

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.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/4588
Primary Topic
Fetal and Pediatric Neurological Disorders
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Reagan Tompkins, Eric Schrauben, Pim van Ooij, Lorna P. Browne et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Fetal and Pediatric Neurological Disorders
article

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

Reagan Tompkins, Eric Schrauben, Pim van Ooij, Lorna P. Browne, Alex J. Barker, Erin K. Englund, Takashi Fujiwara
article en

Abstract

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.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 65%
Fetal and Pediatric Neurological Disorders
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Fetal 4D flow bulk motion estimation – k-space versus image-based surrogates — Reagan Tompkins, Eric Schrauben, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS