Comprehensive 3D and IMRT Treatment Panning
XiO is a comprehensive 3D IMRT treatment planning platform that combines the latest tools and most robust dose calculation algorithms with an intuitive, user-friendly interface, allowing users to generate plans quickly and accurately to optimize the delivery of radiation therapy.
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Reduce planning time and increase clinical efficiency with the most advanced suite of planning functionality. XiO’s automated image fusion delivers rapid and reliable registration of multiple data sets. Automated contouring tools, including patented auto-segmentation functionality and powerful drawing and editing features, allow quick and easy identification and delineation of target volumes and critical structures. Flexible plan review features powerful dose visualization and analysis tools in a customizable user layout.
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XiO provides planning accuracy and precision with a choice of multiple robust dose calculation algorithms. With the option of Clarkson, FFT Convolution, MultiGrid Superposition and Fast Superposition, clinicians can select the algorithm most appropriate for each individual plan. CMS’s commitment to calculation reliability and accuracy is reflected in its MultiGrid Superposition algorithm, which represents the start-of-the-art for 3-D planning, and its future support for Monte Carlo calculations.
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CMS’s easy-to-use prescription-based IMRT solution represents the industry standard for IMRT planning. XiO features an intuitive graphical interface for rapid modification of DVH prescriptions, and performs optimization and dose calculations quickly and accurately for both dynamic and step-and-shoot delivery.
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XiO leverages the speed and performance capabilities of the Linux operating system and the processing power of dual Intel processors to deliver superior 3-D rendering, real-time image manipulation, and the industry’s fastest calculation times. XiO operates in a client-server architecture and is specifically designed for multi-workstation/multi-site configurations, delivering robust network performance in the most demanding clinical environments.