Image Recognition By A Display System Of Three-Dimensional Image Data And Its Application To Image Diagnosis Of Holographic Under-Snow Radar

1987 ◽  
Author(s):  
Yoshinao Aoki ◽  
Yuji Sakamoto ◽  
Yoshinari Takahashi
Keyword(s):  
Image Recognition ◽  
Three Dimensional ◽  
Image Data ◽  
Display System ◽  
Dimensional Image ◽  
Image Diagnosis

An efficient approach to converting three-dimensional image data into highly accurate computational models

2008 ◽  
Vol 366 (1878) ◽  
pp. 3155-3173 ◽  
Author(s):  
P.G Young ◽  
T.B.H Beresford-West ◽  
S.R.L Coward ◽  
B Notarberardino ◽  
B Walker ◽  
...  
Keyword(s):  
Mesh Generation ◽  
Computational Models ◽  
Three Dimensional ◽  
Image Data ◽  
Model Material ◽  
Imaging Data ◽  
Material Inhomogeneity ◽  
Dimensional Image ◽  
Wide Range ◽  
Impact Modelling

Image-based meshing is opening up exciting new possibilities for the application of computational continuum mechanics methods (finite-element and computational fluid dynamics) to a wide range of biomechanical and biomedical problems that were previously intractable owing to the difficulty in obtaining suitably realistic models. Innovative surface and volume mesh generation techniques have recently been developed, which convert three-dimensional imaging data, as obtained from magnetic resonance imaging, computed tomography, micro-CT and ultrasound, for example, directly into meshes suitable for use in physics-based simulations. These techniques have several key advantages, including the ability to robustly generate meshes for topologies of arbitrary complexity (such as bioscaffolds or composite micro-architectures) and with any number of constituent materials (multi-part modelling), providing meshes in which the geometric accuracy of mesh domains is only dependent on the image accuracy (image-based accuracy) and the ability for certain problems to model material inhomogeneity by assigning the properties based on image signal strength. Commonly used mesh generation techniques will be compared with the proposed enhanced volumetric marching cubes (EVoMaCs) approach and some issues specific to simulations based on three-dimensional image data will be discussed. A number of case studies will be presented to illustrate how these techniques can be used effectively across a wide range of problems from characterization of micro-scaffolds through to head impact modelling.

Analysis of Three-Dimensional Image Data: Display and Feature Tracking

1992 ◽  
pp. 237-256 ◽  
Author(s):  
Zvi Kam ◽  
Hans Chen ◽  
John W. Sedat ◽  
David A. Agard
Keyword(s):  
Feature Tracking ◽  
Three Dimensional ◽  
Image Data ◽  
Data Display ◽  
Dimensional Image

983 A novel three-dimensional image display system for transurethral surgery

2015 ◽  
Vol 14 (2) ◽  
pp. e983-e983b
Author(s):  
S. Yoshida ◽  
T. Fukuyo ◽  
M. Ito ◽  
M. Tatokoro ◽  
M. Yokoyama ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Image Display ◽  
Display System ◽  
Dimensional Image

An algorithmic approach to controlling search in three-dimensional image data

1979 ◽  
Vol 13 (2) ◽  
pp. 134-142 ◽  
Author(s):  
Mìchael L. Rhodes
Keyword(s):  
Three Dimensional ◽  
Image Data ◽  
Algorithmic Approach ◽  
Dimensional Image

Three-dimensional image recognition and display using lens arrays

2004 ◽  
Author(s):  
Byoungho Lee ◽  
Jae-Hyeung Park ◽  
Sung-Wook Min ◽  
Sungyong Jung ◽  
Heejin Choi
Keyword(s):  
Image Recognition ◽  
Three Dimensional ◽  
Dimensional Image

Computing curvature-adaptive surface triangulations of three-dimensional image data

2004 ◽  
Vol 20 (1) ◽  
pp. 17-36 ◽  
Author(s):  
Nils Krahnstoever ◽  
Cristian Lorenz
Keyword(s):  
Three Dimensional ◽  
Image Data ◽  
Dimensional Image

scholarly journals Image diagnosis. Helical three-dimensional image. Laryngeal cancer.

1997 ◽  
Vol 100 (3) ◽  
pp. 358-361
Author(s):  
SHIGENOBU IWATA
Keyword(s):  
Laryngeal Cancer ◽  
Three Dimensional ◽  
Dimensional Image ◽  
Image Diagnosis
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