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

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.

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

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.

Scanning Path Planning in Laser Bending of Tube Based on Curvature

2011 ◽  
Vol 264-265 ◽  
pp. 6-11
Author(s):  
Xu Yue Wang ◽  
Jun Wang ◽  
L.J. Wang ◽  
W.J. Xu ◽  
D.M. Guo
Keyword(s):  
Path Planning ◽  
Extreme Point ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Two Dimensions ◽  
Two Dimensional ◽  
Laser Bending ◽  
Scanning Path ◽  
Scanning Path Planning ◽  
Three Dimensional Space

A method is presented based on geometric-curvature characteristics in which a scanning path planning for laser bending of a straight tube into a curve tube in a two- and three-dimensional space. In a two-dimensional (plane) bending, the steel tube is divided into several segments according to the extreme point and inflection point of the desired shape of the tube, taking the extreme point as the initial place of the path planning, using different scanning space for every segment in order to identify the scanning paths. For a tube bending in a three-dimensional space, a projection decomposition method is used, where the three-dimensional is decomposed into two two-dimensions, and respective scanning path planning and process parameters are thus acquired. By combining the data in the two-dimensional planes, the three-dimensional scanning path plan was obtained. Finally, an experimental verification is carried out to bend straight tubes into a two-dimensional sinusoidal and a three-dimensional helical coil-shaped tube. The results show that the proposed method of scanning path planning is effective and feasible.

scholarly journals A path planning method for a surface inspection system based on two-dimensional laser profile scanner

2019 ◽  
Vol 16 (4) ◽  
pp. 172988141986246 ◽  
Author(s):  
Lina Li ◽  
De Xu ◽  
Linkai Niu ◽  
Yuan Lan ◽  
Xiaoyan Xiong
Keyword(s):  
Path Planning ◽  
Three Dimensional ◽  
Neighborhood Search ◽  
Inspection System ◽  
Two Dimensional ◽  
Surface Data ◽  
Scanning Path ◽  
Scanning Path Planning ◽  
Robot Position ◽  
Orientation Determination

In this article, a method for two-dimensional scanning path planning based on robot is proposed. In this method, a section division algorithm based on neighborhood search method for scanning orientation determination is firstly produced. The scanning paths which meet constraints of the system are then generated. Finally, the experiment is carried out on robot-based scanning platform. The two-dimensional data from scanner and the robot position are combined to form three-dimensional surface data of measured workpiece. The experiment results verify the effectiveness of proposed method.

scholarly journals Optimal path planning based on A* algorithm for submarine mining vehicle

2020 ◽  
Vol 309 ◽  
pp. 04006
Author(s):  
Yuheng Chen ◽  
Hongyun Wu ◽  
Qiru Sui ◽  
Yinghao Chen ◽  
Rongyao Wang ◽  
...  
Keyword(s):  
Path Planning ◽  
Search Algorithm ◽  
Interpolation Method ◽  
Optimal Path ◽  
Three Dimensional ◽  
Mining Area ◽  
Mining Machine ◽  
Two Dimensional ◽  
A Algorithm ◽  
Operation Conditions

Deep sea mining, as a frontier area in China, urgently needs to make progress in automatic navigation technology. In order to improve the operation efficiency of the seabed mining machine on the soft seabed, the submarine mining vehicle which complete the mining work in a certain mining area need to enter the next mining area quickly and economically. As a classical algorithm, the majority of scholars consider that A * algorithm is the most practical path planning search algorithm. Considering the limitation of operation conditions, the three-dimensional diagram is transformed into two-dimensional diagram by interpolation method when the seabed terrain conditions allow, and then the obstacles can be marked in two-dimensional diagram. A* algorithm was applied into the path planning of mining truck. The simulation results of the paper show that path cost, turning time and turning mode should be considered in the process of avoiding obstacles.

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