Imaging in Conjunction with Radiotherapy
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Solution Overview
Problem
Current radiotherapy techniques face challenges in accurately delivering radiation to tumors while minimizing exposure to surrounding normal tissues, as existing imaging methods do not adequately account for changes in tumor location or shape during treatment, leading to potential under or over irradiation.
Innovation Solution
The method involves generating a cone X-ray beam using a megavolt electron beam and a low-atomic-number target, shaping it to match the tumor volume, and detecting X-rays to obtain images from multiple angles, allowing for precise imaging and treatment planning that optimizes radiation delivery while sparing sensitive tissues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional radiotherapy techniques are used, then radiation can be delivered to tumors, but surrounding normal tissues receive excessive radiation exposure
Solution Approach 1:
The system performs imaging scans before and during radiotherapy treatment to pre-identify tumor location, shape, and motion patterns. This preliminary information is used to create treatment plans that account for tumor variability, enabling more precise radiation delivery that spares surrounding normal tissues from excessive exposure.
Solution Approach 2:
The system continuously acquires images during treatment delivery and compares actual tumor position and shape against the treatment plan. This real-time feedback allows for dynamic adjustments to radiation beam positioning and intensity, ensuring accurate targeting while minimizing exposure to healthy tissues.
2Measurement precision
If imaging is performed frequently during treatment, then tumor position and shape changes can be detected, but radiation dose to patient increases
Solution Approach 1:
The system performs imaging at selective time points (before treatment and during treatment) rather than continuously, acquiring just enough imaging data to detect tumor position and shape changes. This partial imaging approach provides sufficient measurement precision while limiting the cumulative radiation dose from imaging procedures.
Solution Approach 2:
The system uses different imaging parameters and modalities optimized for treatment monitoring rather than diagnostic imaging, reducing the radiation dose per image while maintaining adequate precision for detecting tumor position and shape changes during therapy.
3Object-affected harmful factors
If radiation beams are shaped to precisely match tumor volume, then normal tissue exposure is reduced, but device complexity increases
Solution Approach 1:
The radiotherapy system integrates multiple functions including imaging, beam shaping, and treatment delivery within a single unified platform. The imaging system and beam delivery system share common components and coordination mechanisms, reducing overall device complexity while enabling precise tumor-targeted radiation that spares surrounding normal tissues.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances image quality with higher contrast-to-noise ratio and reduces radiation dose to non-target tissues, enabling more accurate and effective radiotherapy by integrating imaging with treatment planning to adapt to changes in tumor position or shape during the course of therapy.
Implementation Method 1
generating a cone X-ray beam by directing a megavolt electron beam at a low-atomic-number target
Data Source
AI summary
Methods and apparatus for planning imaging include planning imaging in conjunction with planning a radiation treatment. A radiation dose due to planned imaging may be calculated and used in optimizing a plan for delivering therapeutic radiation. Imaging and treatment may be performed using radiation beams having different characteristics. In some embodiments an imaging beam is generated using a low-Z target and a therapy beam is generated using a high-Z target. A radiation treatment planning system may include data characterizing both the imaging beam and the treatment beam.