introduction patient set-up optimization is required in radiotherapy to fill the accuracy gap between personalized treatment planning and uncertainties in the irradiation set-up. in this study, we aimed to develop a new method based on neural network to estimate patient geometrical setup using 4-dimensional (4d) xcat anthropomorphic phantom. materials and methods to access 4d modeling of motion...

today radiology and imaging are the only and main method to generate geometrical data from body. 3d model of the body will give us the best and reliable information for better understanding and diagnostic. on the other hand with development of cad/cam and rapid prototyping, the 3d printers were born to build 3d models without considering the geometry. today the 3d printers are able to makes a 3...

This paper proposes a novel watermarking algorithm of 3D CAD product model, which is able to keep strictly geometrical shape around embedding watermark and make watermarked model have function transparency. Firstly, the isolated geometrical entities are selected as watermark carriers. Secondly, the watermark is embedded into the isolated geometrical entities with a geometric entity substitution...

the one-dimensional model of lippincott and schroeder for hydrogen bond has been re-examined and it has been shown that o-h bond distance depends on repulsive van der waals and attractive electrostatic potentials.it has been shown that constant b in the van der waals repulsion potential is not transferable to all hydrogen bonds. the possibility of obtaining the semi-empircal parameters in the l...

SIMULGEO is a geometrical software developed for the position monitoring system of the CMS detector at the LHC accelerator. This software is capable to model opto-geometrical systems including error propagation and geometrical reconstruction. Thanks to a special description method, any opto-geometrical system can easily be described and analysed. This report explains how to use SIMULGEO, descri...

phase turbulence, but underpredict the two-phase fluctuation velocities, and the difference between the two model predictions is not obvious. 4. The nonlinear k-«-kp model has no problem of convergence encountered in the implicit algebraic stress model. 5. In two-dimensional flows with small geometrical sizes the NKP model can save about 50% computation time than the USM model. However, in thre...