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A Method for the Generation of Treatment Plans for a Novel X-Ray Target and Collimation System (SPHINX)

S Trovati

S Trovati1*, E Schueler2 , G King3 , E Hynning4 , B Loo5 , P Maxim6 , (1) Stanford University, Palo Alto, CA, (2) Stanford University, Stanford, CA, (3) Stanford University, Palo Alto, CA, (4) Raysearch Laboratories AB, Stockholm, (5) Stanford University, Stanford, CA, (6) Stanford University, Stanford, CA


SU-F-205-1 (Sunday, July 30, 2017) 2:05 PM - 3:00 PM Room: 205

Purpose: To develop a method to model the performance of a stationary X-Ray target and collimation system, that converts a scanning electron beam into a scanning photon beam (SPHINX).

Methods: We have developed a method to integrate different phases of the design study of a new linac, made of 16 beam-lines, each one equipped with SPHINX at the distal end. SPHINX is a 10 cm tungsten block with NxN (NxN depending on the tumor size to be treated) tapered and divergent channels. The linac geometry and beam interactions are modeled with the Monte Carlo code FLUKA. The patient CT images are converted into voxel phantoms and the interaction of the electron beam with SPHINX and the phantom are treated in non-analogue simulations. The statistical averaging of the dose kernels and the generation of the inputs for the following step are handled with customized scripts. A research version of Raystation is used to optimize treatment plans.

Results: The dose distributions are calculated for the 16 beam-lines and optimized for several tumor cases and collimator channel apertures and wall thicknesses. The software and scripts, used from the simulation of the interaction of the beam with the patient to the generation of treatment plans, are successfully integrated in an iterative process where the results of the plans are used to improve the design itself.

Conclusion: The present work describes a toolset to simulate the performances of a novel target and collimator system, that simplifies the workflow to design and implement different collimator structures and provides a mechanism to generate treatment plans. This style of design, implementation and feedback removes the need to pipeline together various stages and marks a shift toward end-to-end design of linac components, with a primary focus on improving the deliverability and the patient-centric metrics

Funding Support, Disclosures, and Conflict of Interest: Funding Support: Coulter H Wallace Foundation. Disclosures and COI: BL and PM are founders of TibaRay,Inc. BL and PM have received research grants from Varian and RaySearch Laboratories.

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