Watch me move: Generalizable Fetal Brain Segmentations for Automatic Fetal Head Motion Tracking throughout an MRI Scan

Motivation: Quantifying fetal movement allows first fascinating views into early human development. Fetal MRI is well suited, but isolated individually analyzed contrasts do not allow continuous assessment. Goal(s): Providing quantification of fetal motion for the whole duration of fetal MRI scans and analyzing patterns to obtain insights into time-scale, sequence, gestational age and time point of birth. Approach: A contrast, field-strength and age agnostic network was trained on nearly 3000 fetal MRI scans, providing continuous information, analyzed with a range of automatic measurements. Results: Isolated bursts of activities are replaced by continuous phases of activity across gestation. Impact: First emerging signatures of human neurological development can be systematically and automatically assessed retro- and prospectively on fetal MRI. Signatures of fetal activity and their correlation to fetal health can offer new opportunities for research and future clinical application.

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/10.58530/2025/3797
Primary Topic
Fetal and Pediatric Neurological Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Watch me move: Generalizable Fetal Brain Segmentations for Automatic Fetal Head Motion Tracking throughout an MRI Scan

Serena J. Counsell, Megan Hall, Daniel Cromb, Jana Hutter 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

Watch me move: Generalizable Fetal Brain Segmentations for Automatic Fetal Head Motion Tracking throughout an MRI Scan

Serena J. Counsell, Megan Hall, Daniel Cromb, Jana Hutter, Kelly Payette, Jordina Aviles Verdera, Mary Rutherford, Joseph V. Hajnal, Raphaël Tomi‐Tricot, Lisa Story, Kamilah St Clair, Sara Neves Silva, Simi Bansal
article en

Abstract

Motivation: Quantifying fetal movement allows first fascinating views into early human development. Fetal MRI is well suited, but isolated individually analyzed contrasts do not allow continuous assessment. Goal(s): Providing quantification of fetal motion for the whole duration of fetal MRI scans and analyzing patterns to obtain insights into time-scale, sequence, gestational age and time point of birth. Approach: A contrast, field-strength and age agnostic network was trained on nearly 3000 fetal MRI scans, providing continuous information, analyzed with a range of automatic measurements. Results: Isolated bursts of activities are replaced by continuous phases of activity across gestation. Impact: First emerging signatures of human neurological development can be systematically and automatically assessed retro- and prospectively on fetal MRI. Signatures of fetal activity and their correlation to fetal health can offer new opportunities for research and future clinical application.

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
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Watch me move: Generalizable Fetal Brain Segmentations for Automatic Fetal Head Motion Tracking throughout an MRI Scan — Serena J. Counsell, Megan Hall, 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