scholarly journals VP47.05: Automating the process of measuring the fetal brain using three‐dimensional fetal ultrasonography

2021 ◽  
Vol 58 (S1) ◽  
pp. 300-300
Author(s):  
Y. Nagayasu ◽  
D. Fujita ◽  
M. Omichi
Keyword(s):  
Three Dimensional ◽  
Fetal Brain ◽  
Fetal Ultrasonography

scholarly journals Quantitative analysis of normal fetal brain volume and flow by three-dimensional power Doppler ultrasound

2013 ◽  
Vol 76 (9) ◽  
pp. 504-509 ◽  
Author(s):  
Ju-Chun Hsu ◽  
Yi-Cheng Wu ◽  
Peng-Hui Wang ◽  
Hsing-I Wang ◽  
Chi-Mou Juang ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Doppler Ultrasound ◽  
Brain Volume ◽  
Power Doppler ◽  
Three Dimensional ◽  
Fetal Brain ◽  
Power Doppler Ultrasound

Three-dimensional HDlive Thick-Slice Silhouette of Fetal Brain

2016 ◽  
Vol 10 (1) ◽  
pp. 1-2
Author(s):  
Ritsuko K Pooh
Keyword(s):  
Obstet Gynecol ◽  
Three Dimensional ◽  
Fetal Brain ◽  
Normal Brain ◽  
Fetal Anomalies ◽  
High Definition ◽  
Brain Image ◽  
Great Achievement ◽  
4D Ultrasound

ABSTRACT Three-dimensional (3D) and four-dimensional (4D) ultrasound have improved our knowledge regarding the development of the embryo and fetus and of a great number of fetal anomalies. The great achievement in the field of 3D/4D ultrasound is high definition live (HDlive) technology and HDlive silhouette/flow technology. HDlive silhouette emphasizes the borderlines between organs with different echogenicity and it can be appropriately named as ‘see-through fashion’. However, it occasionally appears to demonstrate too many inner structures overlapping one another to understand their relations. The author has cut the volume dataset with a rectangle cube and rendered the cut slice with silhouette ultrasound and called as ‘thick-slice silhouette’. Normal brain image in the coronal cutting section by thick-slice silhouette imaging is the picture of the month. This method is useful to identify the inner structure of the organs. How to cite this article Pooh RK. Three-dimensional HDlive Thick-Slice Silhouette of Fetal Brain. Donald School J Ultrasound Obstet Gynecol 2016;10(1):1-2.

scholarly journals OP03.11: Evaluation of fetal brain malformations by three-dimensional ultrasonography and magnetic resonance imaging

2011 ◽  
Vol 38 (S1) ◽  
pp. 65-66
Author(s):  
W. Hisaba ◽  
P. Soares ◽  
P. M. Nowak ◽  
H. Figuinha ◽  
T. Kawanami ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Three Dimensional ◽  
Fetal Brain ◽  
Resonance Imaging ◽  
Brain Malformations

scholarly journals OP03.09: Three-dimensional ultrasonographic depiction of fetal brain blood vessels

2011 ◽  
Vol 38 (S1) ◽  
pp. 65-65
Author(s):  
L. Gindes ◽  
E. Danon ◽  
D. H. Pretorius ◽  
R. Achiron
Keyword(s):  
Blood Vessels ◽  
Three Dimensional ◽  
Fetal Brain

scholarly journals Three-dimensional sonographic measurement of normal fetal brain volume during the second half of pregnancy

2004 ◽  
Vol 190 (1) ◽  
pp. 275-280 ◽  
Author(s):  
Nanette M Roelfsema ◽  
Wim C.J Hop ◽  
Simona M.E Boito ◽  
Juriy W Wladimiroff
Keyword(s):  
Brain Volume ◽  
Three Dimensional ◽  
Fetal Brain

scholarly journals Using three-dimensional regulatory chromatin interactions from adult and fetal cortex to interpret genetic results for psychiatric disorders and cognitive traits

2018 ◽  
Author(s):  
Paola MD Giusti-Rodriguez ◽  
Patrick F Sullivan
Keyword(s):  
Psychiatric Disorders ◽  
Association Studies ◽  
Three Dimensional ◽  
Fetal Brain ◽  
Autism Spectrum ◽  
Open Chromatin ◽  
Genome Wide Association Studies ◽  
Genetic Associations ◽  
3D Genome ◽  
Cognitive Traits

Genome-wide association studies have identified hundreds of genetic associations for complex psychiatric disorders and cognitive traits. However, interpretation of most of these findings is complicated by the presence of many significant and highly correlated genetic variants located in non-coding regions. Here, we address this issue by creating a high-resolution map of the three-dimensional (3D) genome organization by applying Hi-C to adult and fetal brain cortex with concomitant RNA-seq, open chromatin (ATAC-seq), and ChIP-seq data (H3K27ac, H3K4me3, and CTCF). Extensive analyses established the quality, information content, and salience of these new Hi-C data. We used these data to connect 938 significant genetic loci for schizophrenia, intelligence, ADHD, alcohol dependence, Alzheimer's disease, anorexia nervosa, autism spectrum disorder, bipolar disorder, major depression, and educational attainment to 8,595 genes (with 42.1% of these genes implicated more than once). We show that assigning genes to traits based on proximity provides a limited view of the complexity of GWAS findings and that gene set analyses based on functional genomic data provide an expanded view of the biological processes involved in the etiology of schizophrenia and other complex brain traits.

scholarly journals Three-dimensional Ultrasound of the Fetal Brain

2007 ◽  
Vol 1 (3) ◽  
pp. 17-25
Author(s):  
Armando Pintucci ◽  
FNU Vincenzo ◽  
D Addario ◽  
Vincenzo Pinto ◽  
Luca Di Cagno
Keyword(s):  
Ultrasound Imaging ◽  
Power Doppler ◽  
Three Dimensional ◽  
Fetal Brain ◽  
Surface Rendering ◽  
Contrast Imaging ◽  
Routine Examination ◽  
Volume Calculation ◽  
Tomographic Ultrasound Imaging ◽  
Color And Power Doppler

Abstract Three-dimensional ultrasound is the most innovating and attracting modality in the field of ultrasound imaging and represents a superb tool to perform an accurate fetal neuroscan. Once the fetal brain has been scanned, it is then possible to “navigate” in the stored volume choosing among the multiple scanning planes on the three orthogonal spatial axes. Last generation 3D equipments have multiple software facilities which are extremely useful to correctly evaluate the fetal brain such as the multiplanar view, the tomographic ultrasound imaging (TUI), the volume contrast imaging in the C plane (VCI-C plane), the volume calculation, the surface rendering, the 3D color and power Doppler. Thanks to these imaging modalities it is possible to evaluate the finest anatomical details of the developing brain and to increase the diagnostic accuracy when an abnormal sonographic finding of the fetal brain is recognized during the routine examination.

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