3D Spot Delivery Visualization for Particle Beam Dose Deviations
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Solution Overview
Problem
Existing radiotherapy systems lack the capability to accurately track and visualize deviations in radiation dose and location at the individual spot level during particle beam therapy, leading to potential inaccuracies and the need for improved methods and systems to enhance therapy accuracy and computation operations.
Innovation Solution
A visualization system is introduced to illustrate the differences between planned and delivered radiation doses at the spot level, providing a 3D representation of deviations in dose amount, direction, or location, enabling users to audit treatments and adjust dosage for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If particle beam therapy is delivered using Pencil Beam Scanning with multiple treatment spots, then the dose distribution precision to the tumor is improved, but the ability to track and verify individual spot delivery accuracy deteriorates due to lack of visualization capability
Solution Approach 1:
The patent applies color-coded visualization to represent different aspects of spot delivery accuracy. Treatment spots are displayed with color indicators showing the relationship between planned and delivered doses, enabling visual assessment of delivery deviations across the treatment area without compromising the precision of individual spot measurements.
Solution Approach 2:
The patent transitions from two-dimensional treatment planning representations to three-dimensional visualization of delivered spots. This dimensional enhancement allows simultaneous display of spatial location, dose amount, and delivery accuracy, resolving the contradiction by providing comprehensive measurement information in an intuitive visual format that maintains precision while improving trackability.
2Reliability
If comprehensive tracking of all treatment spots is implemented, then the therapy delivery accuracy is improved, but the computational complexity and data processing requirements worsen
Solution Approach 1:
The patent extracts only the essential information needed for quality assurance from the complete treatment spot data. By displaying visual indicators of delivery accuracy rather than processing and analyzing every parameter of each spot, the system maintains high reliability for detecting significant deviations while reducing computational burden through selective information extraction.
Solution Approach 2:
The patent implements partial tracking by focusing visualization on spots that deviate from planned delivery within predefined thresholds. Rather than computationally processing all spots with equal detail, the system applies partial action by highlighting only those spots requiring clinical attention, thereby maintaining accuracy for critical cases while reducing overall computational complexity.
3Loss of information
If detailed visualization of dose deviations is provided for each treatment spot, then the quality assurance capability is improved, but the information overload and difficulty in interpreting the data worsens
Solution Approach 1:
The patent uses color-coded indicators to encode dose deviation information, transforming complex numerical data into intuitive visual signals. Different colors represent different levels of agreement between planned and delivered doses, allowing clinicians to quickly assess quality assurance information without being overwhelmed by detailed numerical data for each spot.
Solution Approach 2:
The patent merges multiple data dimensions (spatial location, dose amount, delivery timing, and accuracy metrics) into a single integrated visualization. By combining these information elements into unified spot representations with composite visual indicators, the system preserves comprehensive quality assurance information while significantly improving interpretability through consolidated display.
Data Source
AI summary
Systems and methods for presenting visual results of a particle beam treatment delivery, including visualizing a deviation for an amount and a location of a particle beam treatment dose, are discussed. An example system may: obtain planning information of a planned particle beam treatment, as planned to be provided to treatment spots located in a treatment area of a patient; obtain delivery information of an actual delivered particle beam treatment to the treatment spots; and determine an applicable dose deviation between a planned amount of radiation and a delivered amount of radiation for each of the treatment spots. The system may present a visualization that represents the treatment spots and the applicable dose deviation, at each of the treatment spots, such as with a three-dimensional representation that uses colors or shading to identify the applicable dose deviation.