[HTML][HTML] What's new and what's next in diffusion MRI preprocessing

CMW Tax, M Bastiani, J Veraart, E Garyfallidis… - NeuroImage, 2022 - Elsevier
Diffusion MRI (dMRI) provides invaluable information for the study of tissue microstructure
and brain connectivity, but suffers from a range of imaging artifacts that greatly challenge the …

A review on automatic fetal and neonatal brain MRI segmentation

A Makropoulos, SJ Counsell, D Rueckert - NeuroImage, 2018 - Elsevier
In recent years, a variety of segmentation methods have been proposed for automatic
delineation of the fetal and neonatal brain MRI. These methods aim to define regions of …

NeSVoR: implicit neural representation for slice-to-volume reconstruction in MRI

J Xu, D Moyer, B Gagoski, JE Iglesias… - IEEE transactions on …, 2023 - ieeexplore.ieee.org
Reconstructing 3D MR volumes from multiple motion-corrupted stacks of 2D slices has
shown promise in imaging of moving subjects, eg, fetal MRI. However, existing slice-to …

[HTML][HTML] An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI

M Ebner, G Wang, W Li, M Aertsen, PA Patel… - NeuroImage, 2020 - Elsevier
High-resolution volume reconstruction from multiple motion-corrupted stacks of 2D slices
plays an increasing role for fetal brain Magnetic Resonance Imaging (MRI) studies …

[HTML][HTML] Towards a comprehensive framework for movement and distortion correction of diffusion MR images: Within volume movement

JLR Andersson, MS Graham, I Drobnjak, H Zhang… - Neuroimage, 2017 - Elsevier
Most motion correction methods work by aligning a set of volumes together, or to a volume
that represents a reference location. These are based on an implicit assumption that the …

A normative spatiotemporal MRI atlas of the fetal brain for automatic segmentation and analysis of early brain growth

A Gholipour, CK Rollins, C Velasco-Annis… - Scientific reports, 2017 - nature.com
Longitudinal characterization of early brain growth in-utero has been limited by a number of
challenges in fetal imaging, the rapid change in size, shape and volume of the develo** …

[HTML][HTML] Reconstruction of fetal brain MRI with intensity matching and complete outlier removal

M Kuklisova-Murgasova, G Quaghebeur… - Medical image …, 2012 - Elsevier
We propose a method for the reconstruction of volumetric fetal MRI from 2D slices,
comprising super-resolution reconstruction of the volume interleaved with slice-to-volume …

An automatic multi-tissue human fetal brain segmentation benchmark using the fetal tissue annotation dataset

K Payette, P de Dumast, H Kebiri, I Ezhov, JC Paetzold… - Scientific data, 2021 - nature.com
It is critical to quantitatively analyse the develo** human fetal brain in order to fully
understand neurodevelopment in both normal fetuses and those with congenital disorders …

Brain volume and metabolism in fetuses with congenital heart disease: evaluation with quantitative magnetic resonance imaging and spectroscopy

C Limperopoulos, W Tworetzky, DB McElhinney… - Circulation, 2010 - ahajournals.org
Background—Adverse neurodevelopmental outcome is an important source of morbidity in
children with congenital heart disease (CHD). A significant proportion of newborns with …

Slice-to-volume medical image registration: A survey

E Ferrante, N Paragios - Medical image analysis, 2017 - Elsevier
During the last decades, the research community of medical imaging has witnessed
continuous advances in image registration methods, which pushed the limits of the state-of …