Adaptive Feedback Loop for Radiation Dose Prediction

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Solution Overview

Problem

In radiation therapy, uncertainties such as patient setup variations, physiological changes, and motion lead to challenges in delivering precise treatment doses, as existing quality assurance methods often fail to validate the correctness of input information used in treatment planning, potentially resulting in incorrect dose delivery.

Innovation Solution

Implementing an adaptive feedback loop for quality assurance that includes image-guided patient positioning, real-time dose calculation, and delivery verification to ensure that the treatment plan is executed as intended, using methods like deformable registration to account for anatomical changes and motion, and incorporating feedback to validate the delivery process.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If standard quality assurance methods are used to verify machine delivery, then machine operation can be validated, but the correctness of input information used in treatment planning cannot be validated

Engineering Contradiction:
Improvevalidation of treatment plan correctnessVSAvoidlack of feedback on input information accuracy
Core Design Contradiction:
ReliabilityVSLoss of information

Solution Approach 1:

The patent implements a feedback loop where daily images are acquired during treatment delivery, processed to determine actual delivered dose, and compared against the treatment plan. This feedback mechanism validates whether the input information (anatomy, motion, setup) used in treatment planning remains correct, addressing the limitation of traditional QA methods that only verify machine delivery without validating input accuracy

Inventive Principle:
Principle #23Feedback

2Reliability

If margins are increased to account for target location uncertainty, then the target receives the desired dose even if location changes, but the radiation exposure to healthy organs increases

Engineering Contradiction:
Improvedose delivery assuranceVSAvoidradiation exposure to healthy organs
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent transitions from static margin planning to dynamic adaptive planning by continuously updating the treatment plan based on daily images and actual delivered dose measurements. This allows the system to adjust margins dynamically - reducing them when target location is well-defined and increasing them only when necessary - thereby ensuring dose delivery reliability while minimizing unnecessary exposure to healthy organs

Inventive Principle:
Principle #15Dynamics

3Measurement precision

If daily images are acquired to verify target position for IMRT, then accurate dose delivery can be ensured, but treatment time and resource requirements increase

Engineering Contradiction:
Improvetarget position verificationVSAvoidtreatment time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent makes the imaging system serve multiple functions: it is used both for verifying target position (traditional IGRT function) and for measuring actual delivered dose through image processing and comparison with treatment plan. This multi-functionality allows the same daily images to provide both positional verification and dose validation, reducing the need for separate verification procedures and thereby minimizing treatment time increase

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS7639853B2Method of and system for predicting dose delivery
Publication Date: 2009.12.29 ACCURAY LLC
  • US7639853B2 patent drawing
  • US7639853B2 patent drawing
  • US7639853B2 patent drawing

AI summary

A system and method of predicting a radiation dose to be delivered to a patient. The method includes the acts of generating a first image of at least a portion of the patient, defining a treatment plan for the patient, generating a second image of at least a portion of the patient while the patient is substantially in a treatment position, updating the patient profile with the second image, and predicting the radiation dose to be delivered to the patient based upon the patient profile and the treatment plan.