Radiotherapy Patient Positioning via 3D Surface Image Feedback
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Solution Overview
Problem
Current radiotherapy positioning methods using laser light suffer from low accuracy and efficiency due to manual adjustments by operators, leading to suboptimal alignment of patient targets with the isocenter of the radiotherapy device.
Innovation Solution
A method utilizing a three-dimensional body surface image acquisition and comparison with a reference image to automatically adjust the patient support apparatus, determining and correcting deviations in translation and rotation offsets to align the patient's target with the isocenter, eliminating the need for manual laser-based alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual laser light positioning is used, then the positioning process can be performed with simple equipment, but the positioning accuracy and efficiency are low
Solution Approach 1:
The patent replaces the manual mechanical positioning system with laser lights and operator adjustments with an automated image processing system. The system captures body surface images, processes them to determine deviation information, and automatically generates positioning instructions, eliminating the need for manual laser-based alignment and significantly improving positioning accuracy.
Solution Approach 2:
The patent creates a digital copy of the patient's body surface through image capture and processing. This digital model is then used to calculate deviation information and generate positioning instructions, replacing the need for direct physical measurement and manual alignment procedures.
2Productivity
If manual adjustment by operator is used, then the equipment operation is simple, but the positioning efficiency is low
Solution Approach 1:
The system performs self-positioning by automatically capturing body surface images, processing them to determine deviation information, and generating positioning instructions without requiring manual intervention. The automated workflow eliminates the need for operators to manually adjust equipment based on laser lights, significantly improving positioning efficiency.
Solution Approach 2:
The system implements a feedback loop where body surface images are captured, processed to determine deviation from the planned position, and used to generate corrective positioning instructions. This closed-loop control system automatically adjusts the positioning based on real-time image analysis, improving both efficiency and accuracy.
3Manufacturing precision
If laser light positioning is used, then the positioning method is simple to implement, but the alignment precision of patient target with isocenter is insufficient
Solution Approach 1:
The patent replaces the mechanical laser light positioning system with an automated image processing and analysis system. The system captures detailed body surface images, processes them to determine precise deviation information in multiple dimensions, and generates accurate positioning instructions, achieving superior alignment precision between the patient target and isocenter.
Solution Approach 2:
The patent transitions from two-dimensional laser light alignment to three-dimensional body surface image analysis. By capturing and processing 3D body surface geometry, the system can determine comprehensive deviation information including translational and rotational offsets, achieving more precise alignment in all spatial dimensions.
Data Source
AI summary
The present disclosure discloses a positioning method, a processing device, a radiotherapy system and a storage medium, which belong to the field of medical technologies. The method includes: acquiring a three-dimensional body surface image of a patient on a support apparatus after receiving a positioning instruction; determining a first deviation between the three-dimensional body surface image of the patient and a first body surface reference image in each coordinate direction in the three-dimensional coordinate system, based on the three-dimensional body surface image of the patient and the first body surface reference image, so that the support apparatus is movable according to the first deviations in the various coordinate directions until the first deviations are within a preset threshold range after the movement.