Radiotherapy Patient Positioning Using Dose-Based Registration
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Solution Overview
Problem
Existing positioning systems for radiotherapy face significant computational burdens and time constraints due to the need for extensive dose computations for various patient alignments during treatment planning.
Innovation Solution
An improved positioning system that utilizes a dose-based control module with neuromorphic data processing capabilities to efficiently compute the required registration of the patient for optimal dose distribution, incorporating a geometry-based control module and transformation module for enhanced accuracy and training efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If dose computations are performed for various patient alignments to achieve optimal dose distribution, then positioning accuracy is improved, but computational burden and computation time increase substantially
Solution Approach 1:
The system pre-computes dose distributions for multiple possible patient alignments and stores them in a lookup table before treatment delivery. During actual treatment, the pre-computed dose distributions are retrieved and evaluated without performing new dose computations, significantly reducing computation time while maintaining positioning accuracy
Solution Approach 2:
The system interpolates dose distributions for intermediate alignments between pre-computed discrete alignments, providing accurate dose estimates for continuous positioning adjustments without requiring full dose computations for every possible alignment. This cushioning approach ensures accurate dose evaluation across the entire alignment space
2Manufacturing precision
If dose computations are performed for various patient alignments to achieve optimal dose distribution, then positioning accuracy is improved, but computational resources required increase substantially
Solution Approach 1:
The system pre-computes and stores dose distributions for multiple patient alignments in a lookup table before treatment sessions. During treatment, only retrieval and interpolation operations are performed, dramatically reducing computational resource requirements while maintaining the ability to evaluate accurate dose distributions for positioning optimization
Solution Approach 2:
The system creates a simplified computational model by storing pre-computed dose distribution data in a lookup table that can be quickly retrieved and interpolated. This copy of the dose data enables rapid evaluation without requiring the full computational complexity of repeated dose calculations
Data Source
AI summary
A system (1) for positioning a patient for radiotherapy in accordance with patient specific data including a first volumetric image (e.g. a pCT image) of the patient comprising tissue label data and dose specification data is provided that comprises an imaging device (2), a positioning device (3) and an optimization controller (4). The imaging device (2) is configured to provide a second volumetric image (e.g. an rCT image) of the patient including a designated part of the patient to be treated. The positioning device (3) is provided to hold the patient in a variable position and/or orientation in the beam of radiation for an accurate intervention to a designated part of the patient. The optimization controller (4) comprises a dose based control module configured to provide registration control data (ΔP) to guide the positioning device (3) so that the actually applied treatment dose optimally matches the planned treatment dose.