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The Flight Simulator for Radiation Oncology
TRAINING BOTTLENECK IN MODERN ONCOLOGY
Radiotherapy is a cornerstone of cancer treatment — yet the clinical systems used to plan it are locked away from trainees by patient safety requirements and intensive workload. StaRT is the dedicated simulation and training platform that removes this barrier: a flight simulator for radiation oncology, built to the standard of a full clinical Treatment Planning System (TPS).
THE DUAL-ENGINE PLATFORM
StaRT operates in two complementary modes, each serving a distinct professional need — yet sharing the same clinical-grade treatment planning core:
Education Mode (Training)
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65+ tutorials across 6 structured phases
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Aligned with official RT technician education guidelines
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Phantoms + real clinical cases for the most prevalent cancer types
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Step-by-step tutorials with embedded physics and oncology theory
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Videos, tooltips, and adaptive learning paths
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Modular curriculum adaptable for academic programs

Simulation Mode (Practice / QA)
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Unrestricted access to full clinical-grade planning tools
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Quality Assurance (QA) workflows and technique validation
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Python scripting API — algorithm prototyping and automation
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DICOM / DICOM-RT integration with standard imaging systems
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Test dose escalation, hypofractionation, other new techniques
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Built on the 3D Slicer / SlicerRT open-source ecosystem

KEY FEATURES & CAPABILITIES
AI Segmentation
NVIDIA MONAI & TotalSegmentator — whole-body CT/MRI contoured in ~2 minutes. Manual and semi-automatic tools also available for refinement.
Photon & Proton Support
Full IMRT, VMAT (photons) and IMPT (protons). Forward and inverse planning with multiple dose engines from fast approximation to Monte-Carlo accuracy.
VR & Holographic Display
Immersive 3D visualisation of beam paths and dose distributions via virtual reality and holographic interfaces — unique among training platforms.
Room’s Eye View
Recreates machine movement in 3D, performs collision control, and verifies beam geometry relative to the patient — essential for patient safety training.
Cloud & Desktop Deployment
Runs as a thin client in any browser via Azure Virtual Desktop — no GPU hardware needed. Also available as a local Windows install with full VR/holographic support.
Open Research Ecosystem
Built on 3D Slicer / SlicerRT. Python scripting API for automation and prototyping. Leverages contributions from the international scientific community.
A VERSATILE ECOSYSTEM:
ACADEMY · CLINIC · R&D
ACADEMY
- Individual or group training configurations
- Specialized lab deployment or remote home use
- Regular competency assessments
- Unlimited practice without interrupting patient flow
- Curriculum-aligned structured progression
CLINIC
- Staff competency verification
- QA of new techniques before clinical rollout
- On-premises data centre option available
- Identity & access management (IAM) integrated
- DICOM-RT compatible with existing imaging systems
R&D
- Algorithm prototyping with Python scripting API
- Experimental simulation environments
- DICOM integration with medical imaging systems
- Test dose escalation & hypofractionation protocols
- Built on open SlicerRT ecosystem

WHo USES START?
- RT Technicians : Structured tutorials, phantoms, dose & beam training
- Medical Physicists: QA workflows, Python API, technique validation
- Oncologists: Plan visualization & cross-team collaboration
- Educators & Students: Risk-free simulation and case-based learning
- Researchers: Algorithm testing, scripting, experimental simulation
FLEXIBLE DEPLOYMENT — DESKTOP & CLOUD
Desktop
- Windows 10+ installer
- VR & holographic display support (Windows only)
- GPU-accelerated AI tools (NVIDIA CUDA)
- Explicit login authentication per session
- Possible Linux / Mac builds (without VR) on roadmap


Cloud (Azure Virtual Desktop)
- Runs in any browser — laptop, tablet, or desktop PC
- No expensive GPU hardware required
- Microsoft account / IAM integration
- Green Software: sustainable cloud resource optimisation
- On-premises data centre option for clinical environments
