Joint Bone Balance Planning From Ligament Laxity Imaging
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Solution Overview
Problem
Existing joint replacement surgeries face challenges in accurately calculating and adjusting ligament laxity and joint subluxation to achieve proper joint balance, leading to potential complications and reduced procedure efficiency.
Innovation Solution
A method and system for assessing joint conditions using image processing techniques to determine adjustment parameters for bone resection and implant thickness based on ligament laxity and joint subluxation, employing linear equations and algorithms to optimize surgical planning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual methods are used to calculate and adjust ligament laxity and joint subluxation, then surgeon experience and judgment are required, but accuracy and consistency in achieving proper joint balance are compromised
Solution Approach 1:
The patent replaces manual surgical judgment and physical measurement with an automated image processing system that uses algorithms to calculate ligament laxity and joint subluxation. The system processes preoperative images through computer vision techniques to objectively determine measurement parameters, eliminating surgeon subjectivity while maintaining measurement accuracy.
Solution Approach 2:
The patent introduces an intermediate computational system that acts as a mediator between the physical joint structure and the surgical decision-making process. This system uses image processing algorithms to translate visual information into quantitative measurements of ligament laxity and joint subluxation, providing an objective basis for surgical planning.
2Manufacturing precision
If preoperative assessment and planning are performed manually without automated image processing, then procedure complexity is reduced, but surgical planning accuracy and procedure efficiency are compromised
Solution Approach 1:
The patent performs preliminary automated image processing and calculation of adjustment parameters before surgery. The system analyzes preoperative images to determine bone resection depth, ligament laxity adjustments, and joint subluxation corrections in advance, allowing surgeons to execute planned procedures with higher precision without increasing intraoperative complexity.
Solution Approach 2:
The patent replaces manual surgical planning with an automated image processing system that uses algorithms to calculate optimal bone resection parameters and ligament adjustment values. This substitution increases planning precision while the automated nature of the system actually reduces overall procedural complexity by providing clear, data-driven guidance.
3Reliability
If automated image processing and algorithms are used to determine adjustment parameters, then surgical planning accuracy and joint balance are improved, but computational complexity and processing requirements increase
Solution Approach 1:
The patent replaces subjective surgical judgment with automated image processing algorithms that objectively determine joint balance parameters. The system processes preoperative images through computational algorithms to calculate ligament laxity and joint subluxation with high reliability, providing consistent and reproducible results that improve joint balance outcomes.
Solution Approach 2:
The patent introduces a computational intermediary system that bridges the gap between preoperative imaging and surgical decision-making. This system uses algorithms to translate image data into reliable adjustment parameters for bone resection and ligament management, enhancing joint balance reliability while managing computational complexity through structured processing pipelines.
4Productivity
If traditional surgical planning methods are used without considering lateral ligament laxity and bone cross-sectional area, then procedure time is reduced, but post-surgery complications and patient outcomes are compromised
Solution Approach 1:
The patent performs preliminary automated analysis of lateral ligament laxity and bone cross-sectional area from preoperative images before surgery. This advance calculation of adjustment parameters allows surgeons to execute procedures efficiently with confidence in the planned corrections, improving both procedure efficiency and patient outcomes through data-driven planning.
Solution Approach 2:
The patent replaces traditional经验-based surgical planning with an automated system that objectively measures lateral ligament laxity and bone cross-sectional area from images. This substitution provides reliable, quantifiable data for surgical planning that improves patient outcomes while the automated nature of the system maintains procedural efficiency by providing clear guidance.
Data Source
AI summary
A method of assessing a joint may include identifying a first bone portion in an image of the joint. The method may further include identifying a cross-sectional area of the first bone portion and identifying a medial ligament in extension value, a lateral ligament in extension value, a medial ligament in flexion value, and a lateral side in flexion value; determining a lateral ligament laxity based on the lateral ligament in extension value; and determining one or more adjustment parameters based on the identified cross-sectional area and the lateral ligament laxity. The determining the adjustment parameters may include a predicted change in soft tissue laxity after the identified first bone portion is removed. The adjustment parameters may include an adjustment to a planned bone resection and/or an adjustment to a planned thickness of an implant. The method may further include outputting the determined adjustment parameters to a display.