A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Dilatation of Lateral Ventricles with Brain Volumes in Infants with 3D Transfontanelle US
[article]
2018
arXiv
pre-print
Preserved Fulltext
Automatically extracted volumes from 3D US show a high correlation and no statistically significant difference when compared to ground truth measurements. ...
Validation was performed on a cohort of 12 infants, ranging from 2 to 8.5 months old, where 3D US and MRI were used to compare brain volumes and segmented lateral ventricles. ...
The authors would like to thank Inga Sophia Knoth and Caroline Dupont from Sainte-Justine Hospital for patient recruitement. ...
arXiv:1806.02305v1
fatcat:74zk4efvhvewjfdpgcomtr27fq
Quantification of cerebral ventricle volume change of preterm neonates using 3D ultrasound images
2015
Medical Imaging 2015: Ultrasonic Imaging and Tomography
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
The technique is evaluated using manual segmentations from 3D US images acquired in two imaging sessions. ...
In this work, we report on the development and application of a method used to analyze local surface change of the ventricles of preterm neonates with IVH from 3D US images. ...
First, manual segmentation of the 3D ventricular images of neonates is labor intensive and has been shown to associate with high segmentation variability. 14 Although a semi-automatic algorithm has been ...
doi:10.1117/12.2081470
fatcat:p7lssdarybem5jivsqam2siq3y
3D MR ventricle segmentation in pre-term infants with post-hemorrhagic ventricle dilation
2015
Medical Imaging 2015: Image Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
This paper proposes an segmentation algorithm to extract the cerebral ventricles from 3D T1weighted MR images of pre-term infants with PHVD. ...
The proposed segmentation algorithm makes use of the convex optimization technique combined with the learned priors of image intensities and label probabilistic map, which is built from a multi-atlas registration ...
This paper proposes a segmentation algorithm to extract the cerebral ventricles from 3D T1-weighted MR images of pre-term infants with PHVD. ...
doi:10.1117/12.2081467
dblp:conf/miip/QiuYKCRCF15
fatcat:au3e7yrdtndjffaiyutml4ei4m
Front Matter: Volume 9413
2015
Medical Imaging 2015: Image Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Numbers in the index correspond to the last two digits of the six-digit citation identifier (CID) article numbering system used in Proceedings of SPIE. ...
cortical surfaces [9413-34] SESSION 8 SEGMENTATION: BRAIN 9413 10 3D MR ventricle segmentation in pre-term infants with post-hemorrhagic ventricle dilation [9413-35] 9413 11 Automatic
tissue segmentation ...
of neonate brain MR Images with subject-specific atlases [9413-36] 9413 12 Shape-
based multi-region segmentation framework: application to 3D infants MRI data [9413-37] 9413 13 LOGISMOS-B for primates ...
doi:10.1117/12.2194368
fatcat:lbd4hy3s2rbodfhutf34bmarhu
3D MR ventricle segmentation in pre-term infants with post-hemorrhagic ventricle dilatation (PHVD) using multi-phase geodesic level-sets
2015
NeuroImage
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2015; you can also visit the original URL.
The file type is application/pdf.
This paper proposes an accurate multiphase geodesic level-set segmentation algorithm for the extraction of the cerebral ventricle system of pre-term PHVD neonates from 3D T1 weighted MR images. ...
Keywords: Ventricle segmentation 3D pre-term neonatal MR with IVH Multi-phase geodesic level-sets Multi-atlas initialization Convex optimization Intraventricular hemorrhage (IVH) or bleed within the cerebral ...
Acknowledgments The authors are grateful for the funding support from the Canadian Institutes of Health Research (CIHR) and Academic Medical Organization of Southwestern Ontario (AMOSO). ...
doi:10.1016/j.neuroimage.2015.05.099
pmid:26070262
fatcat:ynal2iy7ojdpfde6zckwhjekta
3D Ultrasound image segmentation: A Survey
[article]
2016
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Three-dimensional Ultrasound image segmentation methods are surveyed in this paper. ...
We select the studies that have addressed the problem of medical three-dimensional Ultrasound image segmentation utilizing their proposed techniques. ...
[83] used a semi-automatic 3D US data segmentation of cerebral ventricles in preterm neonates for diagnosis of intra-ventricular hemorrhage which an convex optimization algorithm attempts to find the ...
arXiv:1611.09811v1
fatcat:gwpegdj7ifhztidyksxy7e6h2q
Volumetric and surface-based 3D MRI analyses of fetal isolated mild ventriculomegaly
2012
Brain Structure and Function
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The brain images were automatically segmented into cortical plate, cerebral mantle, deep gray nuclei, and ventricles. Volumes were compared between IMVM and control subjects. ...
Surfaces were extracted from the segmentations for local mean surface curvature measurement on the inner cortical plate and the ventricles. ...
First, tissue maps extracted from automatic segmentations were smoothed using 2 mm full width at half-maximum (FWHM) Gaussian kernel and linearly registered to a reference anatomy. ...
doi:10.1007/s00429-012-0418-1
pmid:22547094
fatcat:ypv3o6ucxzcrlhy4shls4ftrq4
Bedside functional monitoring of the dynamic brain connectivity in human neonates
2021
Nature Communications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Here we present a pioneering bedside deep brain resting-state functional connectivity imaging at 250-μm resolution on human neonates using functional ultrasound. ...
By characterizing neonatal functional cerebral networks, resting-state functional connectivity is envisioned to provide early markers of cognitive impairments. ...
This research received funding from the Premup Foundation, the Chiesi Foundation Onlus and the European Union's Seventh Framework Program (FP7/2007-2013)/ERC Advanced Grant Agreement 339244-FUSIMAGINE. ...
doi:10.1038/s41467-021-21387-x
pmid:33597538
fatcat:4foiv6acrre47cpksxnl5eejbu
Automatic Segmentation and Location Learning of Neonatal Cerebral Ventricles in 3D Ultrasound Data Combining CNN and CPPN
[article]
2021
Computers in Biology and Medicine
accepted
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Preterm neonates are highly likely to suffer from ventriculomegaly, a dilation of the Cerebral Ventricular System (CVS). ...
A way to tackle this problem would be to develop automatic CVS segmentation algorithms for 3D US data. ...
We would like to thank Dr. Borhane Slama, the innovation and clinical research commission president of CH Avignon, and the CH Avignon direction for their support to this research. ...
doi:10.1016/j.compbiomed.2021.104268
pmid:33639351
arXiv:2012.03014v2
fatcat:ckgjm7im5vbbralbkcbbdmn7ni
Artificial Intelligence in Obstetric Ultrasound: An Update and Future Applications
2021
Frontiers in Medicine
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Nevertheless, in repetitive ultrasound examinations, such as those involving automatic positioning and identification of fetal structures, prediction of gestational age (GA), and real-time image quality ...
In this review, we outlined the benefits of AI technology in obstetric ultrasound diagnosis by optimizing image acquisition, quantification, segmentation, and location identification, which can be helpful ...
A total of 18 features were extracted from each ultrasound image and area of interest, and a prediction model of GA based on features from the cervical image was established through data segmentation, ...
doi:10.3389/fmed.2021.733468
pmid:34513890
pmcid:PMC8429607
fatcat:22pvxoxob5flpn656idcwnqcfe
Use of high-frequency ultrasound to study the prenatal development of cranial neural tube defects and hydrocephalus in Gldc -deficient mice
2017
Prenatal Diagnosis
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
From embryonic day 16.5 to 18.5, the lateral ventricle volume reduced in wild-type and heterozygous embryos but increased in homozygous Gldc-deficient embryos. ...
Objective We used non-invasive high-frequency ultrasound (HFUS) imaging to investigate embryonic brain development in a mouse model for neural tube defects (NTDs) and non-ketotic hyperglycinemia (NKH). ...
Manual segmentation and quantitative analysis of cerebral structures in three-dimensional HFUS images Offline examination of 3D volumes of brain structures was performed blind to genotype, using Vevo 2100 ...
doi:10.1002/pd.5004
pmid:28056489
pmcid:PMC5347903
fatcat:qq4sp73nrbf2biu43kipuy5eei
Atlas-based segmentation of developing tissues in the human brain with quantitative validation in young fetuses
2010
Human Brain Mapping
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper, we describe methodology for automatic atlas-based segmentation of individual tissue types in motion-corrected 3D volumes reconstructed from clinical MR scans of the fetal brain. ...
To generate anatomically correct automatic segmentations, we create a set of accurate manual delineations and build an in utero 3D statistical atlas of tissue distribution incorporating developing grey ...
Glenn and imaging studies were funded by NIH Grant K23 NS 52506. The authors thank Liz Quiroz, Addie Cuneo and Jim Corbett-Detig for help with data preparation and processing. ...
doi:10.1002/hbm.20935
pmid:20108226
pmcid:PMC3306251
fatcat:6wtokblzavazbhsr2c2662rmcu
Precision Medicine in Neonates: A Tailored Approach to Neonatal Brain Injury
2021
Frontiers in Pediatrics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Despite advances in neonatal care to prevent neonatal brain injury and neurodevelopmental impairment, predicting long-term outcome in neonates at risk for brain injury remains difficult. ...
A synergy of all these techniques and the use of automatic quantitative analysis might give clinicians the possibility to provide patient-targeted decision-making for individualized diagnosis, therapy, ...
For example, using 3D ultrasound measurements, ventricle volumes can be calculated to evaluate PHVD (81, 82) . ...
doi:10.3389/fped.2021.634092
pmid:34095022
pmcid:PMC8171663
fatcat:ovqivkc7xzc4hh5asr6n36e63e
VP24.07: Antenatal diagnosis of schizencephaly at 36 weeks
2021
Ultrasound in Obstetrics and Gynecology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Conclusions: The application of uterine activity extracted from electrophysiological maternal abdominal signal contributed to better diagnosing of the threatened preterm labour. ...
Objectives: The uterine activity separated from maternal abdominal signal could contribute to better diagnosing of threatened preterm birth. ...
For each subject, high-resolution 3D volume reconstruction and automatic segmentation was performed, and manually corrected with the ITK-SNAP software if necessary. ...
doi:10.1002/uog.24394
fatcat:myurf46e4fdttabkp3uqxtxdru
Registration of 3D fetal neurosonography and MRI
2013
Medical Image Analysis
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
This method, for the first time, allows the alignment of models of the fetal brain built from magnetic resonance images with 3D fetal brain ultrasound, opening possibilities to develop new, prior information ...
The reconstructed magnetic resonance volume is first segmented using a probabilistic atlas and a pseudo ultrasound image volume is simulated from the segmentation. ...
We thank the Intergrowth-21st Consortium for providing the 3D fetal brain US. ...
doi:10.1016/j.media.2013.07.004
pmid:23969169
pmcid:PMC3807810
fatcat:ejtwatwlafgpfbskesiiplftem
« Previous
Showing results 1 — 15 out of 476 results