Prostate Brachytherapy Needle Optimization via Convex
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Solution Overview
Problem
Traditional prostate cancer brachytherapy treatment planning methods rely on manually defined needle locations, which are time-consuming and do not optimize needle positions for personalized precision, leading to suboptimal treatment outcomes.
Innovation Solution
An automated method for optimizing needle positions in prostate brachytherapy using convex optimization techniques with quadratic dosimetric penalty functions, dwell time regularization, and block sparsity regularization, allowing for personalized precision treatment planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual needle location planning is used, then treatment planning can be performed with traditional methods, but the process is time-consuming and labor-consuming
Solution Approach 1:
The patent replaces the manual mechanical process of needle placement planning with an automated computational optimization system. The convex optimization algorithm automatically determines optimal needle positions and dwell times, eliminating the need for manual template-based planning and significantly reducing planning time while improving treatment precision.
Solution Approach 2:
The treatment planning system performs self-optimization through automated algorithms that independently determine the optimal needle configuration and radiation delivery parameters. The system uses convex optimization to automatically adjust planning parameters without requiring continuous manual intervention, enabling the system to serve itself in the planning process.
2Reliability
If manual needle location planning is used, then traditional treatment protocols can be followed, but needle locations are not optimal for treatment
Solution Approach 1:
The patent transforms the needle placement problem from a fixed template-based approach to an optimized parameter-driven approach. By using convex optimization, the system dynamically adjusts needle positions, dwell times, and radiation doses to achieve optimal treatment outcomes, thereby improving both treatment quality and placement precision simultaneously.
3Reliability
If more needles are used in brachytherapy, then radiation coverage can be improved, but the number of needles and treatment time increase
Solution Approach 1:
The patent applies partial action by determining the minimal necessary number of needles and dwell positions required to achieve optimal radiation coverage. The convex optimization algorithm identifies the most critical needle positions and dwell times, eliminating redundant placements and reducing treatment time while maintaining adequate radiation coverage through precise dosimetric optimization.
Data Source
AI summary
A method for needle position optimization for prostate brachytherapy for use with a radiation delivery device configured to use a plurality of needles inserted into a prostate of a patient includes obtaining imagery of the prostate of the patient, generating a needle pool for prostate brachytherapy treatment of the patient based on the imagery of the prostate of the patient, and determining at a computing device an optimum prostate brachytherapy treatment plan for the patient by iteratively removing needles from the needle pool by forming and computationally solving a convex optimization problem wherein the convex optimization problem uses a quadratic dosimetric penalty function, dwell time regularization by total variation, and block sparsity regularization term.