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Dilatation of Lateral Ventricles with Brain Volumes in Infants with 3D Transfontanelle US [article]

Marc-Antoine Boucher, Sarah Lippe, Amelie Damphousse, Ramy El-Jalbout, Samuel Kadoury
2018 arXiv   pre-print
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

Yimin Chen, Jessica Kishimoto, Wu Qiu, Sandrine de Ribaupierre, Aaron Fenster, Bernard Chiu, Johan G. Bosch, Neb Duric
2015 Medical Imaging 2015: Ultrasonic Imaging and Tomography  
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

Wu Qiu, Jing Yuan, Jessica Kishimoto, Yimin Chen, Sandrine de Ribaupierre, Bernard Chiu, Aaron Fenster, Sébastien Ourselin, Martin A. Styner
2015 Medical Imaging 2015: Image Processing  
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  
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

Wu Qiu, Jing Yuan, Martin Rajchl, Jessica Kishimoto, Yimin Chen, Sandrine de Ribaupierre, Bernard Chiu, Aaron Fenster
2015 NeuroImage  
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]

Mohammad Hamed Mozaffari, WonSook Lee
2016 arXiv   pre-print
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

Julia A. Scott, Piotr A. Habas, Vidya Rajagopalan, Kio Kim, A. James Barkovich, Orit A. Glenn, Colin Studholme
2012 Brain Structure and Function  
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

Jerome Baranger, Charlie Demene, Alice Frerot, Flora Faure, Catherine Delanoë, Hicham Serroune, Alexandre Houdouin, Jerome Mairesse, Valerie Biran, Olivier Baud, Mickael Tanter
2021 Nature Communications  
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]

Matthieu Martin, Bruno Sciolla, Michaël Sdika, Philippe Quétin, Philippe Delachartre
2021 Computers in Biology and Medicine   accepted
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

Zhiyi Chen, Zhenyu Liu, Meng Du, Ziyao Wang
2021 Frontiers in Medicine  
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

Maria C. Autuori, Yun J. Pai, Daniel J. Stuckey, Dawn Savery, Anna M. Marconi, Valentina Massa, Mark F. Lythgoe, Andrew J. Copp, Anna L. David, Nicholas D.E. Greene
2017 Prenatal Diagnosis  
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

Piotr A. Habas, Kio Kim, Francois Rousseau, Orit A. Glenn, A. James Barkovich, Colin Studholme
2010 Human Brain Mapping  
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

Maria Luisa Tataranno, Daniel C. Vijlbrief, Jeroen Dudink, Manon J. N. L. Benders
2021 Frontiers in Pediatrics  
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

J. Scarella, C. Jimenez, J. Mocarquer
2021 Ultrasound in Obstetrics and Gynecology  
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

Maria Kuklisova-Murgasova, Amalia Cifor, Raffaele Napolitano, Aris Papageorghiou, Gerardine Quaghebeur, Mary A. Rutherford, Joseph V. Hajnal, J. Alison Noble, Julia A. Schnabel
2013 Medical Image Analysis  
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/ pmid:23969169 pmcid:PMC3807810 fatcat:ejtwatwlafgpfbskesiiplftem
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