Semiautomatic three-dimensional segmentation of the prostate using two-dimensional ultrasound images

2003 ◽  
Vol 30 (5) ◽  
pp. 887-897 ◽  
Author(s):  
Yunqiu Wang ◽  
H. Neale Cardinal ◽  
Donal B. Downey ◽  
Aaron Fenster
Keyword(s):  
Three Dimensional ◽  
Ultrasound Images ◽  
Two Dimensional ◽  
Three Dimensional Segmentation

scholarly journals Prenatal Sonographic Image of Sirenomelia with Anencephaly and Craniorachischisis Totalis

2018 ◽  
Vol 2018 ◽  
pp. 1-5
Author(s):  
Takako Sugiura ◽  
Yuka Sato ◽  
Naoyuki Nakanami ◽  
Kiyomi Tsukimori
Keyword(s):  
Ultrasound Examination ◽  
Color Doppler ◽  
Three Dimensional ◽  
Final Diagnosis ◽  
Color Doppler Ultrasound ◽  
Lower Limbs ◽  
Ultrasound Images ◽  
Two Dimensional ◽  
Prenatal Counselling ◽  
Medical Termination

Sirenomelia is a rare congenital malformation characterized by varying degrees of fusion of the lower extremities. It is commonly associated with severe urogenital and gastrointestinal malformations; however, the association of sirenomelia with anencephaly and rachischisis totalis is extremely rare. To our knowledge, the prenatal sonographic images of this association have not been previously published. Here, we present prenatal sonographic images of this association, detected during the 17th week of gestation through combined two-dimensional, four-dimensional, and color Doppler ultrasound. Two-dimensional ultrasound images showed anencephaly, spina bifida, and possible fusion of the lower limbs. Three-dimensional HDlive rendering images confirmed the final diagnosis of sirenomelia with anencephaly and rachischisis totalis. The patient opted to undergo medical termination of pregnancy and delivered a fetus with fused lower limbs, anencephaly, and rachischisis totalis confirming the in utero imaging findings. Awareness of these rare associations will help avoid misdiagnoses and facilitate prenatal counselling. This case highlights the importance of a thorough ultrasound examination.

scholarly journals Needle path planning and steering in a three-dimensional non-static environment using two-dimensional ultrasound images

2014 ◽  
Vol 33 (10) ◽  
pp. 1361-1374 ◽  
Author(s):  
Gustaaf J. Vrooijink ◽  
Momen Abayazid ◽  
Sachin Patil ◽  
Ron Alterovitz ◽  
Sarthak Misra
Keyword(s):  
Path Planning ◽  
Three Dimensional ◽  
Ultrasound Images ◽  
Two Dimensional ◽  
Needle Path

Rapid Three-Dimensional Segmentation of the Carotid Bifurcation From Serial MR Images

1999 ◽  
Vol 122 (1) ◽  
pp. 96-99 ◽  
Author(s):  
H. M. Ladak ◽  
J. S. Milner and ◽  
D. A. Steinman
Keyword(s):  
Ex Vivo ◽  
Current Trend ◽  
Three Dimensional ◽  
Carotid Bifurcation ◽  
Cfd Modeling ◽  
Black Blood ◽  
Two Dimensional ◽  
Surface Geometry ◽  
Three Dimensional Segmentation

The current trend in computational hemodynamics is to employ realistic models derived from ex vivo or in vivo imaging. Such studies typically produce a series of images from which the lumen boundaries must first be individually extracted (i.e., two-dimensional segmentation), and then serially reconstructed to produce the three-dimensional lumen surface geometry. In this paper, we present a rapid three-dimensional segmentation technique that combines these two steps, based on the idea of an expanding virtual balloon. This three-dimensional technique is demonstrated in application to finite element meshing and CFD modeling of flow in the carotid bifurcation of a normal volunteer imaged with black blood MRI. Wall shear stress patterns computed using a mesh generated with the three-dimensional technique agree well with those computed using a mesh generated from conventional two-dimensional segmentation and serial reconstruction. In addition to reducing the time required to extract the lumen surface from hours to minutes, our approach is easy to learn and use and requires minimal user intervention, which can potentially increase the accuracy and precision of quantitative and longitudinal studies of hemodynamics and vascular disease. [S0148-0731(00)00201-6]

Segmenting Ultrasound Images of the Prostate Using Neural Networks

1992 ◽  
Vol 14 (2) ◽  
pp. 159-185 ◽  
Author(s):  
James S. Prater ◽  
William D. Richard
Keyword(s):  
Neural Networks ◽  
Network Architecture ◽  
Transrectal Ultrasound ◽  
Three Dimensional ◽  
Feedforward Neural Networks ◽  
Training Image ◽  
Ultrasound Images ◽  
Two Dimensional ◽  
Dimensional Image ◽  
Two Dimensional Images

This paper describes a method for segmenting transrectal ultrasound images of the prostate using feedforward neural networks. Segmenting two-dimensional images of the prostate into prostate and nonprostate regions is required when forming a three-dimensional image of the prostate from a set of parallel two-dimensional images. Three neural network architectures are presented as examples and discussed. Each of these networks was trained using a small portion of a training image segmented by an expert sonographer. The results of applying the trained networks to the entire training image and to adjacent images in the two-dimensional image set are presented and discussed. The final network architecture was also trained with additional data from two other images in the set. The results of applying this retrained network to each of the images in the set are presented and discussed.

scholarly journals Comparative studies of two dimensional and three dimensional ultrasonic nuchal translucency in trisomy assessments

2012 ◽  
Vol 84 (4) ◽  
pp. 1157-1168 ◽  
Author(s):  
Lai K. Wee ◽  
Hum Y. Chai ◽  
Sharul R. Bin Samsury ◽  
Naizaithull F. Binti Mujamil ◽  
Eko Supriyanto
Keyword(s):  
Descriptive Analysis ◽  
Three Dimensional ◽  
Nuchal Translucency ◽  
3D Ultrasound ◽  
Ultrasound Measurement ◽  
Ultrasound Images ◽  
Two Dimensional ◽  
Significance Level ◽  
Positive Linear Correlation ◽  
2D And 3D

Current two-dimensional (2D) ultrasonic marker measurements are inherent with intra- and inter-observer variability limitations. The objective of this paper is to investigate the performance of conventional 2D ultrasonic marker measurements and proposed programmable interactive three-dimensional (3D) marker evaluation. This is essentially important to analyze that the measurement on 3D volumetric measurement possesses higher impact and reproducibility vis-à-vis 2D measurement. Twenty three cases of prenatal ultrasound examination were obtained from collaborating hospital after Ethical Committee's approval. The measured 2D ultrasonic marker is Nuchal Translucency or commonly abbreviated as NT. Descriptive analysis of both 2D and 3D ultrasound measurement were calculated. Three trial measurements were taken for each method. Both data were tested with One-Sample Kolmogorov-Smirnov Test and results indicate that markers measurements were distributed normally with significant parametric values at 0.621 and 0.596 respectively. Computed mean and standard deviation for both measurement methods are 1.4495 ± 0.46490 (2D) and 1.3561 ± 0.50994 (3D). ANOVA test shows that computerized 3D measurements were found to be insignificantly different from the mean of conventional 2D at the significance level of 0.05. With Pearson's correlation coefficient value or R = 0.861, the result proves strong positive linear correlation between 2D and 3D ultrasonic measurements. Reproducibility and accuracy of 3D ultrasound in NT measurement was significantly increased compared with 2D B-mode ultrasound prenatal assessment. 3D reconstructed imaging has higher clinical values compare to 2D ultrasound images with less diagnostics information.

Three-dimensional segmentation of luminal and adventitial borders in serial intravascular ultrasound images

1999 ◽  
Vol 23 (6) ◽  
pp. 299-309 ◽  
Author(s):  
R. Shekhar ◽  
R.M. Cothren ◽  
D.G. Vince ◽  
S. Chandra ◽  
J.D. Thomas ◽  
...  
Keyword(s):  
Intravascular Ultrasound ◽  
Three Dimensional ◽  
Ultrasound Images ◽  
Three Dimensional Segmentation
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