Multi-image fusion for tissue cutting path planning
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Solution Overview
Problem
Current surgical methods for treating hyperplastic or cancerous tissues, such as prostate issues, rely heavily on manual planning of tissue cutting paths using ultrasound images, leading to low automation, high manual workload, and inaccurate contour positioning, particularly for sensitive areas like the seminal colliculus, resulting in incomplete cutting and reduced safety.
Innovation Solution
A multi-image information fusion method and system that combines endoscopic and three-dimensional ultrasound image information in a standard coordinate system, using a position feedback apparatus to automatically and precisely mark sensitive parts and cutting positions, enabling truly automated tissue cutting path planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If manual planning of cutting path using ultrasound images is used, then doctors can plan the cutting path, but the automation level is low and manual workload is high
Solution Approach 1:
The system enables automatic contour extraction and cutting path planning through computer-aided algorithms. The processor automatically identifies tissue contours, marks sensitive areas, and generates cutting paths without requiring manual intervention from doctors, thus achieving self-service automation in the planning process
Solution Approach 2:
The patent replaces the manual mechanical process of contour marking and path planning with an automated image processing system. The processor uses computer algorithms to automatically extract contours from ultrasound images and generate cutting paths, substituting the mechanical manual operations with automated computational processes
2Measurement precision
If manual marking of contour parameters is used, then doctors can input parameters, but the accuracy of contour position is low
Solution Approach 1:
The system replaces manual contour marking with automated image processing algorithms. The processor automatically extracts tissue contours from ultrasound images using computer-aided recognition techniques, eliminating manual measurement errors and achieving higher precision in contour position identification
Solution Approach 2:
The system creates an accurate digital representation of the tissue contour by processing the ultrasound image data. The processor generates a precise digital model of the tissue boundary and sensitive areas, which serves as an accurate copy of the actual anatomical structure for planning purposes
3Manufacturing precision
If single ultrasound image is used for planning, then the process is simple, but the precision of surgical cutting is low
Solution Approach 1:
The patent merges multiple image data sources including ultrasound images and endoscopic images into a unified coordinate system. The processor integrates these different imaging modalities to create a comprehensive three-dimensional model of the target tissue, combining the advantages of each imaging method to achieve higher surgical precision
Solution Approach 2:
The system transitions from two-dimensional ultrasound images to three-dimensional spatial representation by integrating multi-source imaging data. The processor reconstructs the tissue geometry in three dimensions, adding spatial depth and volumetric information that enhances the precision of cutting path planning
4Productivity
If manual marking of sensitive parts is required, then the operation is controllable, but the workload of medical staff increases
Solution Approach 1:
The system automatically identifies and marks sensitive areas such as the seminal colliculus and bladder neck through computer-aided image recognition. The processor analyzes the ultrasound and endoscopic images to automatically locate and mark these critical structures, eliminating the need for manual identification and marking by medical staff
Data Source
AI summary
A multi-image information fusion method for tissue cutting path planning, comprising: acquiring position information of a target tissue working area calibrated in an endoscopic image, and converting the position information of the target tissue working area into coordinate information in a standard coordinate system, so as to obtain an endoscopic image in the standard coordinate system; acquiring a three-dimensional ultrasound image of a target tissue; and extracting two-dimensional slice image contour position information of the three-dimensional ultrasound image, and converting the two-dimensional slice image contour position information into coordinate information in the standard coordinate system, so as to obtain an ultrasound image in the standard coordinate system. An endoscopic apparatus comprises an endoscope and a position feedback apparatus, and the tissue cutting path planning is performed on the basis of the endoscopic image in the standard coordinate system and the ultrasound image in the standard coordinate system.