Guyer, Gian; Mueller, Silvan; Wyss, Yanick; Bertholet, Jenny; Schmid, Remo; Stampanoni, Marco F M; Manser, Peter; Fix, Michael K (2023). Technical note: A collision prediction tool using Blender. Journal of applied clinical medical physics, 24(11), e14165. American Association of Physicists in Medicine 10.1002/acm2.14165
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J_Applied_Clin_Med_Phys_-_2023_-_Guyer_-_Technical_note_A_collision_prediction_tool_using_Blender.pdf - Published Version Available under License Creative Commons: Attribution (CC-BY). Download (1MB) | Preview |
Non-coplanar radiotherapy treatment techniques on C-arm linear accelerators have the potential to reduce dose to organs-at-risk in comparison with coplanar treatment techniques. Accurately predicting possible collisions between gantry, table and patient during treatment planning is needed to ensure patient safety. We offer a freely available collision prediction tool using Blender, a free and open-source 3D computer graphics software toolset. A geometric model of a C-arm linear accelerator including a library of patient models is created inside Blender. Based on the model, collision predictions can be used both to calculate collision-free zones and to check treatment plans for collisions. The tool is validated for two setups, once with and once without a full body phantom with the same table position. For this, each gantry-table angle combination with a 2° resolution is manually checked for collision interlocks at a TrueBeam system and compared to simulated collision predictions. For the collision check of a treatment plan, the tool outputs the minimal distance between the gantry, table and patient model and a video of the movement of the gantry and table, which is demonstrated for one use case. A graphical user interface allows user-friendly input of the table and patient specification for the collision prediction tool. The validation resulted in a true positive rate of 100%, which is the rate between the number of correctly predicted collision gantry-table combinations and the number of all measured collision gantry-table combinations, and a true negative rate of 89%, which is the ratio between the number of correctly predicted collision-free combinations and the number of all measured collision-free combinations. A collision prediction tool is successfully created and able to produce maps of collision-free zones and to test treatment plans for collisions including visualisation of the gantry and table movement.
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