Automatic Disentanglement of Motion in Fetal Low Field MRI Scans

Kitzberger M, Silva SN, Verdera JA, Rojas DF, Uus A, Schulz-Heise S, Schmidt S, Schneider M, Story L, Uder M, Rutherford M, Hutter J (2025)

Publication Type: Conference contribution

Publication year: 2025

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: Springer Science and Business Media Deutschland GmbH

Book Volume: 14747 LNCS

Pages Range: 24-34

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: Marrakesh MA

ISBN: 9783031732591

DOI: 10.1007/978-3-031-73260-7_3

Abstract

Fetal dynamic MRI acquisitions allow insights into fetal motor behaviour, serving as a surrogate for fetal cognitive development. Systematic assessment of these highly temporally resolved 2D images might hence allow novel insights into both normal development and contain crucial information in pathology. Here, we present an automatic deep learning-based assessment for masking of the uterine and fetal structures and fetal and maternal motion quantification tool, applied to 61 low field 0.55T fetal cine MRI datasets acquired between 24 and 40 weeks gestational age at two sites using two different MR contrasts. The lack of cine labels was overcome by imitating cine acquisitions from high-resolution labelled static 3D anatomical balanced steady-state free precession datasets. Results illustrate high segmentation accuracy for the larger uterine structures (mean dice coefficient of 0.86 for the fetal body, 0.88 for the fetal head, 0.61 for the placenta) as well as the ability to detect fetal motion.

Authors with CRIS profile

Susanne Schulz-Heise Institute of Radiology Michael Schneider Department of Obstetrics and Gynaecology Michael Uder Lehrstuhl für Diagnostische Radiologie Jana Hutter Professur für Smart Imaging and Data Profiling (Heisenberg-Professur)

Involved external institutions

King’s College London GB United Kingdom (GB)

How to cite

APA:

Kitzberger, M., Silva, S.N., Verdera, J.A., Rojas, D.F., Uus, A., Schulz-Heise, S.,... Hutter, J. (2025). Automatic Disentanglement of Motion in Fetal Low Field MRI Scans. In Daphna Link-Sourani, Esra Abaci Turk, Christopher Macgowan, Jana Hutter, Andrew Melbourne, Jana Hutter, Roxane Licandro (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 24-34). Marrakesh, MA: Springer Science and Business Media Deutschland GmbH.

MLA:

Kitzberger, Michael, et al. "Automatic Disentanglement of Motion in Fetal Low Field MRI Scans." Proceedings of the 9th International Workshop on Perinatal, Preterm and Paediatric Image Analysis, PIPPI 2024, held in Conjunction with the 27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024, Marrakesh Ed. Daphna Link-Sourani, Esra Abaci Turk, Christopher Macgowan, Jana Hutter, Andrew Melbourne, Jana Hutter, Roxane Licandro, Springer Science and Business Media Deutschland GmbH, 2025. 24-34.

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