Retrospective motion correction in foetal MRI for clinical applications: existing methods, applications and integration into clinical practice

AU Uus, A Egloff Collado, TA Roberts… - The British journal of …, 2023 - academic.oup.com
Foetal MRI is a complementary imaging method to antenatal ultrasound. It provides
advanced information for detection and characterisation of foetal brain and body anomalies …

Total and regional brain volumes in fetuses with congenital heart disease

D Cromb, A Uus, MPM Van Poppel… - Journal of Magnetic …, 2024 - Wiley Online Library
Background Congenital heart disease (CHD) is common and is associated with impaired
early brain development and neurodevelopmental outcomes, yet the exact mechanisms …

Structural covariance networks in the fetal brain reveal altered neurodevelopment for specific subtypes of congenital heart disease

S Wilson, D Cromb, AF Bonthrone, A Uus… - Journal of the …, 2024 - ahajournals.org
Background Altered structural brain development has been identified in fetuses with
congenital heart disease (CHD), suggesting that the neurodevelopmental impairment …

Fully automated planning for anatomical fetal brain MRI on 0.55 T

S Neves Silva, S McElroy… - Magnetic …, 2024 - Wiley Online Library
Purpose Widening the availability of fetal MRI with fully automatic real‐time planning of
radiological brain planes on 0.55 T MRI. Methods Deep learning‐based detection of key …

Automated multi-class fetal cardiac vessel segmentation in aortic arch anomalies using t2-weighted 3D fetal MRI

P Ramirez Gilliland, A Uus, MPM van Poppel… - … Workshop on Preterm …, 2022 - Springer
Congenital heart disease (CHD) encompasses a range of cardiac malformations present
from birth, representing the leading congenital diagnosis. 3D volumetric reconstructions of …

Fully automated planning for anatomical fetal brain MRI on 0.55 T

SN Silva, S McElroy, JA Verdera, K Colford… - arXiv preprint arXiv …, 2024 - arxiv.org
Purpose: Widening the availability of fetal MRI with fully automatic real-time planning of
radiological brain planes on 0.55 T MRI. Methods: Deep learning-based detection of key …

AutOmatic floW planning for fetaL MRI (OWL)

SN Silva, T Woodgate, S McElroy, M Cleri… - arXiv preprint arXiv …, 2024 - arxiv.org
Two subsequent deep learning networks, one localizing the fetal chest and one identifying a
set of landmarks on a coronal whole-uterus balanced steady-state free precession scan …

Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI

P Ramirez, A Uus, MPM van Poppel… - Machine Learning …, 2023 - melba-journal.org
Abstract Congenital Heart Disease (CHD) is a group of cardiac malformations present
already during fetal life, representing the prevailing category of birth defects globally. Our …

Automated atlas-based multi-label fetal cardiac vessel segmentation in Congenital Heart Disease

PR Gilliland, A Uus, MPM Van Poppel, I Grigorescu… - bioRxiv, 2022 - biorxiv.org
Congenital heart disease (CHD) is the most commonly diagnosed birth defect. T2w black
blood MRI provides optimal vessel visualisation, aiding prenatal CHD diagnosis. Common …

Evaluation of dynamic 2D-EPI acquisitions for fetal brain tracking with neural networks

SN Silva, I Grigorescu, A Uus, J Steinweg, M Deprez… - archive.ismrm.org
Fetal MRI and MRS are often compromised due to unpredictable fetal motion and commonly
require multiple repetitions for diagnostic studies. To overcome these limitations, we are …