Automatic measurement of fetal Nuchal translucency from three-dimensional ultrasound data

2017 ◽  
Author(s):  
Siqing Nie ◽  
Jinhua Yu ◽  
Ping Chen ◽  
Yuanyuan Wang ◽  
Yi Guo ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Automatic Measurement ◽  
Nuchal Translucency

Detection of Jarcho-Levin syndrome at 12 weeks' gestation by nuchal translucency screening and three-dimensional ultrasound

10.1002/pd.67 ◽  
2001 ◽  
Vol 21 (5) ◽  
pp. 390-394 ◽  
Author(s):  
Andrew D. Hull ◽  
Gina James ◽  
Dolores H. Pretorius
Keyword(s):  
Three Dimensional ◽  
Nuchal Translucency

First trimester three-dimensional ultrasonographic diagnosis of diastrophic dysplasia: a case report and review of the literature

2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Ozgur Ozyuncu ◽  
Mert Turgal ◽  
Aslihan Yazicioglu
Keyword(s):  
Genetic Disorder ◽  
Three Dimensional ◽  
Pregnant Patient ◽  
First Trimester ◽  
Nuchal Translucency ◽  
3D Ultrasound ◽  
Review Of The Literature ◽  
Diastrophic Dysplasia ◽  
First Trimester Scan ◽  
Increased Nuchal Translucency

AbstractDiastrophic dysplasia is a rare genetic disorder characterized by short limbs and deformities of several joints occurring in conjunction with xyphoscoliosis, distinctive abduction of the first metacarpals (hitchhiker thumbs). A 28-year-old pregnant patient was referred due to detection of increased nuchal translucency at the first-trimester scan. We describe a case of diastrophic dysplasia diagnosed by two- and three-dimensional ultrasound and termination of pregnancy at 13 weeks of gestation. This case is the first report in the literature in which 3D ultrasound was used in diagnosis of diastrophic dysplasia as early as the 13th week of pregnancy. We think that prenatal diagnosis of diastrophic dysplasia can be possible even at first trimester.

353: Comparative analysis of two- versus three-dimensional sonography for nuchal translucency (NT) measurement

2013 ◽  
Vol 208 (1) ◽  
pp. S156
Author(s):  
Adeeb Khalifeh ◽  
Fergal Malone ◽  
Antonella Lavelanet ◽  
Dimitri Chamchad ◽  
Andrew Gerson
Keyword(s):  
Comparative Analysis ◽  
Three Dimensional ◽  
Nuchal Translucency

scholarly journals Comparison of nuchal translucency measurements obtained using Volume NTTM and two- and three-dimensional ultrasound

2012 ◽  
Vol 39 (2) ◽  
pp. 175-180 ◽  
Author(s):  
H. Y. Cho ◽  
J.-Y. Kwon ◽  
Y. H. Kim ◽  
K. H. Lee ◽  
J. Kim ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Nuchal Translucency

scholarly journals Comparison between two- and three-dimensional ultrasound measurements of nuchal translucency

2001 ◽  
Vol 18 (5) ◽  
pp. 475-480 ◽  
Author(s):  
G. Clementschitsch ◽  
G. Hasenöhrl ◽  
H. Schaffer ◽  
H. Steiner
Keyword(s):  
Three Dimensional ◽  
Nuchal Translucency ◽  
Ultrasound Measurements

scholarly journals EARLY FETAL HYDROPIC CHANGES ARE ASSOCIATED WITH MODERATE DILATATION OF THE BRAIN VENTRICULAR SYSTEM: A CLUE TO A POSSIBLE LINK BETWEEN CERVICAL LYMPHATIC ENGORGEMENT AND VENTRICULAR DILATATION?

Lymphology ◽  
2019 ◽  
Vol 52 (1) ◽  
Author(s):  
D Paladini ◽  
G Donarini ◽  
A Conti ◽  
L Costanza De Angelis ◽  
MH Witte ◽  
...  
Keyword(s):  
Three Dimensional ◽  
First Trimester ◽  
Nuchal Translucency ◽  
Cystic Hygroma ◽  
Ventricular System ◽  
Fetal Head ◽  
Biparietal Diameter ◽  
Inter Observer Variability ◽  
Trimester Screening ◽  
The One

The aim of this study is to assess whether early cervical lymphatic obstruction is associated with a sonographically detectable dilatation of the ventricular system in the 1st trimester of pregnancy. In particular, the objective is to assess whether fetuses with non-immune hydrops fetalis (NIHF), cystic hygroma, or enlarged nuchal translucency (NT) have a greater atrial width/biparietal diameter (AW/BPD) ratio than normal at time of the combined first trimester screening scan. This retrospective study included 96 first trimester fetuses (33 normal and 63 with various degree of cervical lymphatic engorgement). Inclusion criteria were CRL in the 45-84 mm range and availability of one or more three-dimensional volume datasets of the fetal head, acquired from the BPD plane. Each three-dimensional volume dataset was opened and multiplanar correlation employed to align the three orthogonal planes. The ratio between the atrial width and the BPD (AW/BPD ratio) was used to evaluate the possible presence of increased amount of cerebrospinal fluid. Abnormal cases were placed into 4 categories: 1)enlarged non-septated NT 2.5-3.9 mm, no hydrops; 2) grossly enlarged non-septated NT/ edema >3.9 mm; 3) cystic hygroma and/or NIHF; 4) major anomalies with NT <2.5 mm. Presence of dilatation of the latero-cervical jugular lymphatic sacs, karyotype and presence of congenital anomalies were also recorded. The One-way ANOVA test was used to compare means. Intra- and inter-observer variability were also assessed. The AW/BPD ratio was found to be significantly higher in fetuses with grossly enlarged NT/nuchal edema and NIHF/septated cystic hygroma than in normal (p <0.05 and p <0.01, respectively). Also, the AW/BPD ratio was significantly higher in NIHF/septated cystic hygroma than in enlarged NT 2.5-3.9 mm (p <0.05). In case of enlarged NT (2.5-3.9 mm), the AW/BPD ratio is significantly higher in presence of JLS (p <0.01). At the end of the first trimester, presence of cervical lymphatic engorgement, in terms of grossly enlarged NT, nuchaledema, septated cystic hygroma, and NIHF, is statistically associated with a moderate dilatation of the ventricular system. Of note, among fetuses with moderately enlarged NT, those with evidence of dilatation of the JLS show a statistically significant increase in the AW/BPD ratio.

scholarly journals Body Dimension Measurements of Qinchuan Cattle with Transfer Learning from LiDAR Sensing

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 5046 ◽  
Author(s):  
Lvwen Huang ◽  
Han Guo ◽  
Qinqin Rao ◽  
Zixia Hou ◽  
Shuqin Li ◽  
...  
Keyword(s):  
Deep Learning ◽  
Transfer Learning ◽  
Three Dimensional ◽  
Automatic Measurement ◽  
The Body ◽  
Surface Shape ◽  
Body Dimension ◽  
Qinchuan Cattle ◽  
Body Dimensions ◽  
Deep Model

For the time-consuming and stressful body measuring task of Qinchuan cattle and farmers, the demand for the automatic measurement of body dimensions has become more and more urgent. It is necessary to explore automatic measurements with deep learning to improve breeding efficiency and promote the development of industry. In this paper, a novel approach to measuring the body dimensions of live Qinchuan cattle with on transfer learning is proposed. Deep learning of the Kd-network was trained with classical three-dimensional (3D) point cloud datasets (PCD) of the ShapeNet datasets. After a series of processes of PCD sensed by the light detection and ranging (LiDAR) sensor, the cattle silhouettes could be extracted, which after augmentation could be applied as an input layer to the Kd-network. With the output of a convolutional layer of the trained deep model, the output layer of the deep model could be applied to pre-train the full connection network. The TrAdaBoost algorithm was employed to transfer the pre-trained convolutional layer and full connection of the deep model. To classify and recognize the PCD of the cattle silhouette, the average accuracy rate after training with transfer learning could reach up to 93.6%. On the basis of silhouette extraction, the candidate region of the feature surface shape could be extracted with mean curvature and Gaussian curvature. After the computation of the FPFH (fast point feature histogram) of the surface shape, the center of the feature surface could be recognized and the body dimensions of the cattle could finally be calculated. The experimental results showed that the comprehensive error of body dimensions was close to 2%, which could provide a feasible approach to the non-contact observations of the bodies of large physique livestock without any human intervention.

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