Ultrasound-Guided Tissue Resection Parameter Planning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for determining cutting parameters in tissue resection, particularly for benign prostatic hyperplasia, rely heavily on manual input and experience, leading to uncertainties, errors, increased workload, and prolonged surgical processes, compromising safety and efficiency.
Innovation Solution
A method and system that utilize ultrasonic imaging to acquire two-dimensional slice images, determine target and ablation tool contours, and calculate cutting parameters such as depth and angle to optimize resection efficiency and safety, minimizing manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual marking and parameter input by doctors is used, then flexibility and adaptability are maintained, but determining accuracy and reliability deteriorate due to uncertainties and manual operation errors
Solution Approach 1:
The system enables self-service by allowing the computer to automatically determine cutting parameters through image processing and algorithmic calculation, without requiring manual input from doctors. The processor autonomously analyzes ultrasonic images, identifies tissue contours, and computes optimal cutting parameters based on preset algorithms.
Solution Approach 2:
The patent replaces the mechanical manual operation system with an automated computational system. Instead of doctors manually marking images and inputting parameters, the system uses computer-based image processing algorithms to automatically extract anatomical features and calculate cutting parameters, substituting human manual work with automated mechanical computation.
2Productivity
If manual marking and experience-based parameter setting are used, then adaptability to individual cases is maintained, but surgical time and complexity increase due to increased workload and complicated operations
Solution Approach 1:
The system performs preliminary actions by pre-processing ultrasonic images, automatically identifying anatomical structures, and pre-calculating cutting parameters before the actual surgery begins. This preparation work is done in advance using automated algorithms, reducing the complexity and time required during the surgical procedure itself.
Solution Approach 2:
The patent replaces complex manual operational procedures with automated computer-based systems. The processor automatically performs image analysis, contour detection, and parameter calculation that would otherwise require complex manual operations by doctors, thereby reducing operational complexity while maintaining or improving surgical efficiency.
3Reliability
If manual marking by doctors is used, then flexibility in handling individual cases is maintained, but reliability and safety deteriorate when doctors have less experience or when image quality is poor
Solution Approach 1:
The system performs self-service by automatically compensating for variations in image quality and doctor experience levels. The computer-based image processing algorithms consistently identify anatomical structures and calculate cutting parameters regardless of the operator's skill level, providing reliable results even when image quality varies or when less experienced doctors perform the procedure.
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
Enables precise and efficient tissue resection by automating the determination of cutting parameters, reducing errors, and ensuring maximum resection area within safety limits, thereby improving surgical safety and reliability.
Implementation Method 1
obtain a three-dimensional ultrasonic image of a prostate by using a rectal ultrasonic probe
Implementation Method 2
water jet resection is performed on a benign prostatic hyperplasia tissue
Implementation Method 3
energy such as various types of lasers, water jets, two-stage electrotomes, and single-stage electrotomes is used to resect and/or burn a lesion tissue
Data Source
AI summary
A tissue resection system and a method for determining a cutting parameter, the method comprising the following steps: acquiring a three-dimensional ultrasonic image of a target tissue; slicing the three-dimensional ultrasonic image to form a series of two-dimensional slice images, according to a preset step size; determining contour information the two-dimensional slice images; and calculating a cutting parameter on the basis of the determined contour information comprising contour information of an ablation tool and contour information of the target tissue, the cutting parameter comprising at least one of: a cutting position parameter (L), a cutting depth parameter (R), and a cutting angle parameter (β). Therefore, a cutting parameter can be calculated more efficiently, and a more reasonable and larger cutting range can be planned more precisely, thus resection efficiency, the resection area, and safety are all achieved.