For Medical Physicists

Adaptive Radiotherapy Technology in Development

Hindsyt is developing 3D spatial reference technology, real-time position tracking and in silico support intended to integrate with your existing systems. The figures below are indicative development-stage targets, not yet clinically established.

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Simulation Efficiency

Targeting faster CT simulations with automated positioning (indicative)

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Registration Accuracy

Positioning accuracy target of ±1.5mm in testing

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Workflow Integration

Designed to integrate with existing systems

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AI Optimization

Indicative reduction in error-related investigations (not yet clinically established)

Values shown are development-stage targets and indicative figures based on mixed reality (line-of-sight) workflow research and Hindsyt’s iterative testing, subject to technical and clinical validation.

Adaptive Treatment Technology & Capabilities

Adaptive Radiotherapy Support

Identifies and quantifies setup drift across treatment fractions for optimal adaptive changes

Real-time setup drift detection
Fraction-to-fraction positioning analysis
Adaptive treatment planning support
Automated positioning alerts

3D Digital Twin Technology

Creates precise digital replicas of patient positioning enabling in silico adaptive treatment

Real-time 3D patient modeling
Simulation position replication
Anatomical structure visualization
Dynamic positioning updates

Real-time Position Tracking

Monitors postural and skeletal alignment during setup for immediate adaptive adjustments

Continuous position monitoring
Skeletal alignment tracking
Postural drift detection
Live positioning feedback

Holographic Adaptive Guidance

Projects holographic overlays to help radiation therapists make improved adaptive changes

Real-time holographic positioning
Anatomical overlay visualization
Treatment target alignment
Interactive positioning guidance

Implementation Specifications

Hardware Requirements

HoloLens 2 Mixed Reality Headsets
Photogrammetry camera array system
Standard CT simulation room
Network connectivity (1 Gbps recommended)

Software Integration

DICOM RT compatibility
Windows 10/11 workstation
Unity 3D rendering engine
Python-based processing pipeline

System Performance

Real-time tracking at 60 FPS
Sub-millimeter positioning accuracy
Marker-based and markerless tracking
VSLAM spatial mapping

Quality Assurance

Automated calibration procedures
Statistical process monitoring
Comprehensive logging system
Performance validation protocols

Planned Integration Process

Our technical team works closely with your physics department to ensure smooth integration with minimal disruption to your existing workflows.

Comprehensive system assessment
Custom integration planning
Dedicated technical support

Indicative Integration Timeline:

System Assessment:1-2 weeks
Hardware Installation:1 week
Software Integration:2-3 weeks
Testing & Validation:2-3 weeks
Total Implementation:6-9 weeks

Access Technical Documentation

Download technical specifications, integration guides, and QA protocols designed specifically for medical physicists.

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