AI Needle Path Planning With 3D Organ Segmentation
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Solution Overview
Problem
Existing surgical planning systems for needle insertion paths, particularly in tumor punctures, are time-consuming, highly dependent on doctor expertise, and prone to subjective opinions, with risks of damaging blood vessels due to inadequate three-dimensional visualization and cross-plane path planning.
Innovation Solution
An assisted surgical planning system utilizing a discriminative AI module for organ segmentation and a generative AI module to generate and adjust needle insertion paths, integrated with a user navigation interface for doctor interaction, reducing reliance on two-dimensional imaging and enhancing path planning accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If doctors perform needle insertion path planning in axial view of CT images, then the path planning is more convenient and easier to imagine, but cross-plane needle insertion path planning becomes difficult and time-consuming
Solution Approach 1:
The system transforms two-dimensional axial CT images into three-dimensional reconstructed images, enabling doctors to visualize and plan needle insertion paths from multiple angles simultaneously. This dimensional transition allows cross-plane path planning without requiring repeated axial slice adjustments, thereby reducing time consumption while maintaining ease of operation.
2Productivity
If doctors rely on their expertise and experience for path planning, then the planning process is faster, but the results are highly subjective and prone to errors
Solution Approach 1:
The system introduces an AI-based intermediary module that automatically analyzes CT images, identifies anatomical structures, and generates preliminary needle insertion paths. This intermediary assists doctors by providing objective, data-driven path suggestions that reduce subjectivity and improve reliability, while still allowing doctor expertise to guide final decisions.
Solution Approach 2:
The system replaces the purely mechanical reliance on doctor expertise with an automated AI system that processes imaging data algorithmically. The AI module automatically segments organs, identifies vessels and nerves, and calculates safe paths, substituting human cognitive processing with computational algorithms that provide consistent and reliable results.
3Measurement precision
If doctors perform multiple CT scans during surgery to verify needle insertion paths, then the path accuracy is improved, but the surgical time and complexity increase
Solution Approach 1:
The system performs all necessary path planning, verification, and optimization actions before surgery begins. By pre-calculating multiple candidate paths and verifying them against anatomical structures in advance, the system eliminates the need for intraoperative CT scans, thereby maintaining high accuracy while reducing surgical complexity and time.
4Difficulty of detecting and measuring
If doctors use contrast-enhanced computed tomography (CECT) method to identify vessels, then the visibility of blood vessels is improved, but the examination time and radiation exposure increase
Solution Approach 1:
The system creates a digital three-dimensional copy of the patient's anatomy from standard CT images, allowing virtual exploration of vascular structures without requiring additional contrast-enhanced scans. This virtual model enables doctors to visualize and measure vessel locations accurately while avoiding the time and radiation costs of repeated imaging procedures.
Data Source
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AI summary
An assisted surgical planning system includes a host computer, a discriminative Al module, a user navigation interface, and a generative Al module. The discriminative Al module is electrically connected to the host computer, and is configured to form plural organ segmentation images based on plural CT images. The user navigation interface is electrically connected to the host computer, and is configured to display the organ segmentation images, an initial needle insertion path, plural suggested needle insertion paths, and a final needle insertion path. The generative Al module is electrically connected to the host computer, such that the host computer connects the user navigation interface to the generative Al module. The generative Al module is configured to generate the suggested needle insertion paths based on the organ segmentation images and the initial needle insertion path, and display the suggested needle insertion paths in the user navigation interface.