Automated localization and segmentation techniques for B-mode ultrasound images: A review

KM Meiburger, UR Acharya, F Molinari - Computers in biology and …, 2018 - Elsevier
B-mode ultrasound imaging is used extensively in medicine. Hence, there is a need to have
efficient segmentation tools to aid in computer-aided diagnosis, image-guided interventions …

A review of image processing methods for fetal head and brain analysis in ultrasound images

HR Torres, P Morais, B Oliveira, C Birdir… - Computer methods and …, 2022 - Elsevier
Background and objective Examination of head shape and brain during the fetal period is
paramount to evaluate head growth, predict neurodevelopment, and to diagnose fetal …

Segmentation and classification in MRI and US fetal imaging: recent trends and future prospects

J Torrents-Barrena, G Piella, N Masoller… - Medical Image …, 2019 - Elsevier
Fetal imaging is a burgeoning topic. New advancements in both magnetic resonance
imaging and (3D) ultrasound currently allow doctors to diagnose fetal structural …

[HTML][HTML] BEAN: brain extraction and alignment network for 3D fetal neurosonography

F Moser, R Huang, BW Papież, AIL Namburete… - NeuroImage, 2022 - Elsevier
Brain extraction (masking of extra-cerebral tissues) and alignment are fundamental first
steps of most neuroimage analysis pipelines. The lack of automated solutions for 3D …

[HTML][HTML] Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning

LS Hesse, M Aliasi, F Moser, MC Haak, W Xie… - NeuroImage, 2022 - Elsevier
The quantification of subcortical volume development from 3D fetal ultrasound can provide
important diagnostic information during pregnancy monitoring. However, manual …

Medical image segmentation based on level set and isoperimetric constraint

L Gui, C Li, X Yang - Physica Medica, 2017 - Elsevier
Level set based methods are being increasingly used in image segmentation. In these
methods, various shape constraints can be incorporated into the energy functionals to obtain …

Three‐dimensional models of the segmented human fetal brain generated by magnetic resonance imaging

Y Yamaguchi, R Miyazaki, M Kamatani… - Congenital …, 2018 - Wiley Online Library
Recent advances in imaging technology have enabled us to obtain more detailed images of
the human fetus in a nondestructive and noninvasive manner. Through detailed images …

MR image segmentation and bias field estimation based on coherent local intensity clustering with total variation regularization

X Tu, J Gao, C Zhu, JZ Cheng, Z Ma, X Dai… - Medical & biological …, 2016 - Springer
Though numerous segmentation algorithms have been proposed to segment brain tissue
from magnetic resonance (MR) images, few of them consider combining the tissue …

Quantitative imaging: quantification of liver shape on CT using the statistical shape model to evaluate hepatic fibrosis

M Hori, T Okada, K Higashiura, Y Sato, YW Chen… - Academic radiology, 2015 - Elsevier
Rationale and Objectives To investigate the usefulness of the statistical shape model (SSM)
for the quantification of liver shape to evaluate hepatic fibrosis. Materials and Methods …

Multi-atlas segmentation and spatial alignment of the human embryo in first trimester 3D ultrasound

WAP Bastiaansen, M Rousian… - arXiv preprint arXiv …, 2022 - arxiv.org
Segmentation and spatial alignment of ultrasound (US) imaging data acquired in the in first
trimester are crucial for monitoring human embryonic growth and development throughout …