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 …

[HTML][HTML] Review on deep learning fetal brain segmentation from Magnetic Resonance images

T Ciceri, L Squarcina, A Giubergia, A Bertoldo… - Artificial intelligence in …, 2023 - Elsevier
Brain segmentation is often the first and most critical step in quantitative analysis of the brain
for many clinical applications, including fetal imaging. Different aspects challenge the …

[HTML][HTML] Anatomically constrained tractography of the fetal brain

C Calixto, C Jaimes, MD Soldatelli, SK Warfield… - NeuroImage, 2024 - Elsevier
Abstract Diffusion-weighted Magnetic Resonance Imaging (dMRI) is increasingly used to
study the fetal brain in utero. An important computation enabled by dMRI is streamline …

[Retracted] An Automated Deep Learning Model for the Cerebellum Segmentation from Fetal Brain Images

R Sreelakshmy, A Titus, N Sasirekha… - BioMed Research …, 2022 - Wiley Online Library
Cerebellum measures taken from routinely obtained ultrasound (US) images have been
frequently employed to determine gestational age and identify developing central nervous …

[HTML][HTML] BOUNTI: Brain vOlumetry and aUtomated parcellatioN for 3D feTal MRI

AU Uus, V Kyriakopoulou, A Makropoulos… - bioRxiv, 2023 - ncbi.nlm.nih.gov
Fetal MRI is widely used for quantitative brain volumetry studies. However, currently, there is
a lack of universally accepted protocols for fetal brain parcellation and segmentation …

Learning to segment fetal brain tissue from noisy annotations

D Karimi, CK Rollins, C Velasco-Annis, A Ouaalam… - Medical image …, 2023 - Elsevier
Automatic fetal brain tissue segmentation can enhance the quantitative assessment of brain
development at this critical stage. Deep learning methods represent the state of the art in …

[HTML][HTML] nnU-Net deep learning method for segmenting parenchyma and determining liver volume from computed tomography images

RW Pettit, BB Marlatt, SJ Corr, J Havelka… - Annals of Surgery …, 2022 - journals.lww.com
Background: Recipient donor matching in liver transplantation can require precise
estimations of liver volume. Currently utilized demographic-based organ volume estimates …

A spatio-temporal atlas of the developing fetal brain with spina bifida aperta

L Fidon, E Viola, N Mufti, AL David… - Open Research …, 2022 - pmc.ncbi.nlm.nih.gov
Background: Spina bifida aperta (SBA) is a birth defect associated with severe anatomical
changes in the developing fetal brain. Brain magnetic resonance imaging (MRI) atlases are …

Longitudinal MRI evaluation of brain development in fetuses with congenital diaphragmatic hernia around the time of fetal endotracheal occlusion

D Emam, M Aertsen… - American Journal …, 2023 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Congenital diaphragmatic hernia is associated with high
mortality and morbidity, including evidence suggesting neurodevelopmental comorbidities …

Advances in fetal brain imaging

C Calixto, A Taymourtash, D Karimi… - Magnetic …, 2024 - mri.theclinics.com
Sonography has been widely used to assess fetal growth and identify fetal anomalies, 1 and
although fetal neurosonography can analyze brain surface anatomy and maturation, 2 it has …