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Treatment geometry verification is based on robotic in-room imaging acquisitions, allowing for 2D/3D registration from double planar kV-images or 3D/3D alignment from cone beam image reconstruction.
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The calculated modulation created by the lead sheets was re-imported into the treatment planning system and applied to a water phantom geometry for verification purposes.
The three methods were shown to be both applicable and suitable to represent the verification geometry and provide comparable results.
Three different approaches were investigated for the use of CAD models with Monte Carlo transport simulations of a simplified stellarator type verification geometry.
It works sequentially by adding new joints and bars optimally, requiring five basic steps: (1) domain specification; (2) topology and size optimization; (3) geometry optimization; (4) optimality verification; and (5) topology growth.
We also carry out authentication verification using this correlation geometry.
In addition, unsolvability can be established and the program can be applied to the verification of symbolic rules describing the geometry.
Before proceeding with our calculations, for the purpose of verification, we decided to perform the geometry optimization on our own using the B3LYP-based hybrid DFT approach employing the 6-311++g 6-311++g set as implemented in GAUSSIAN03 program [20].
Different conductor materials (CuCr1Zr, Cu-ETP, and EN AW-1050A), conductor geometries, and discharge energies are analyzed in this verification procedure.
Afterwards, the three-dimensional CFD model is utilized and experimental verification is made with the same geometries to support the validation of the 2D optimization result.
The overall penetration is computed for a number of basic geometries, providing a point of reference for filtration design and experimental verification.
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