Planejamento de tratamento para o sistema ProBeam
Planejamento rápido e preciso de tratamentos avançados contra o câncer.
Sistema de planejamento de tratamento Eclipse™
Combina um algoritmo de Monte Carlo preciso para cálculo de dose de prótons, contorno automático e funções de planejamento robustas. O Eclipse simplifica o processo de planejamento sem comprometer a qualidade do plano.
Planejamento com base em conhecimento RapidPlan™
O aprendizado de máquina capacita os médicos a criarem planos de maior qualidade em muito menos tempo.
Protonterapia adaptativa integrando o software Velocity™
Determina quando os tratamentos precisam de adaptação fornecendo informações diárias de dose e acúmulo de dose.
Eclipse™ treatment planning system
When machine learning, human intelligence, and patient data unite to build optimal treatment plans. By integrating our ProBeam system knowledge, your clinical expertise, and big data, we’re advancing treatment planning—a consistent, data-driven, easy-to-implement way to create optimal treatment plans.
- RapidPlan PT is the first clinical application of machine learning in proton therapy.
- Robust Optimization gives you confidence for range and patient setup uncertainties.
- Dual Energy CT for planning improves range uncertainty and reduce margins for healthy tissue sparing.
- GPU Acuros PT offers increased accuracy and efficiency with a true GPU-accelerated Monte Carlo algorithm.
- CTV-based robust planning for all treatment techniques.
- Eclipse is a unified platform, harmonizing the planning process for all the planning modalities.
RapidPlan™ knowledge-based planning
The power of RapidPlan PT is the innovative software that leverages existing clinical knowledge combined with machine learning to create quality plans, quickly and consistently. By building and sharing models based on previously treated patients, RapidPlan PT can allow clinics to reduce variability in treatment planning to achieve greater consistency, efficiency, and quality in patient care.
High quality plans in a fraction of the time
Knowledge-Guided Decision Support
In the first study of its kind, researchers from VU University Medical Center (VUMC), now part of Amsterdam University Medical Centers, were able to build a decision support tool using RapidPlan. They were able to automate the creation of a proton and photon plan in order to accurately predict the right treatment for each patient.
This is the first investigation which demonstrates the feasibility of patient selection for proton therapy based solely on patient-specific knowledge-based predictions of proton and photon plan dosimetry without necessitating actual plan creation.
Adaptive proton therapy integrating Velocity™ software
Multi-Modality Image Registration
Quick and easy to use rigid and deformable registration tools for CT, CBCT, MRI, PET, SPECT, AND RT images.
Share data easily
Sync with ARIA® OIS and Eclipse™ treatment planning with one click. Scripting allows for automation of dose calculation and accumulation between Eclipse and Velocity
Map and model dose changes over time
Track patient dose information from different vendors at different times to sum total dose across tumors and healthy tissue.