Bone Registration Planning for Faster Robotic Surgery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing bone registration methods in computer-assisted orthopedic surgery are tedious, time-consuming, and risky, particularly due to the need for manual point collection on minimally exposed or covered bone regions, which can lead to registration inaccuracies and increased surgical time.
Innovation Solution
A computer-implemented method that identifies optimal regions or contours on a bone for digitization, using software simulations to confirm accuracy, and employs algorithms like RANSAC to select the best registration points, potentially replacing point collection with three or more lines along identified contours.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual point collection is used on minimally exposed bone regions, then registration accuracy can be achieved, but surgical time increases and patient risk increases
Solution Approach 1:
The system performs pre-operative planning and identifies optimal registration points on exposed bone regions before surgery. By preparing the registration plan in advance and selecting points that will be accessible during surgery, the system avoids time-consuming intraoperative point collection while maintaining accuracy.
Solution Approach 2:
The system uses optical imaging to create a digital copy of the bone surface and performs registration on the digital model using pre-identified points. This eliminates the need for manual physical point collection during surgery, significantly reducing surgical time while maintaining registration accuracy through the use of the digital surrogate.
2Measurement precision
If manual point collection is used on covered bone regions, then complete bone registration can be achieved, but patient risk increases due to incisions or percutaneous probing
Solution Approach 1:
The system identifies which bone regions will be exposed during surgery through pre-operative planning and selects registration points only from those exposed regions. This preliminary identification eliminates the need to probe or incise covered areas, removing the associated patient risks while maintaining complete bone registration capability.
Solution Approach 2:
By creating a comprehensive digital model of the entire bone including covered regions, the system can perform registration using only points on exposed portions. The digital copy allows the system to account for the entire bone geometry while physically accessing only safe, exposed areas for point collection.
3Measurement precision
If multiple points are collected manually with high hand-eye coordination, then registration accuracy improves, but device complexity and operational difficulty increase
Solution Approach 1:
The system replaces manual physical point collection with automated optical scanning that captures the bone surface digitally. The registration algorithm then operates on this digital copy, eliminating the need for surgeons to manually collect multiple points with precise hand-eye coordination, thereby simplifying operation while maintaining or improving accuracy.
Solution Approach 2:
The system substitutes the manual mechanical process of point collection with an automated optical measurement system. The optical scanner and computer vision algorithms replace the surgeon's manual digitizing actions, reducing operational complexity and eliminating the need for specialized hand-eye coordination skills.
4Reliability
If traditional registration methods are used, then bone mapping is achieved, but the process is tedious and time-consuming
Solution Approach 1:
The system creates a digital copy of the bone through optical scanning and performs registration computations on this digital model. This approach maintains the reliability of traditional registration methods while dramatically increasing speed by eliminating manual point collection and enabling automated processing of the digital bone representation.
Solution Approach 2:
The system replaces the tedious manual mechanical process of point-by-point registration with automated optical scanning and computer-based registration algorithms. This substitution maintains registration reliability through sophisticated algorithms while increasing productivity by performing computations automatically without manual intervention for each point.
Data Source
AI summary
A computer-implemented method to improve the point collection process during registration of a bone for a computer-assisted surgical procedure is provided. Based on bone digitization data, a simulation is performed to confirm the accuracy of the registration for different digitization regions. Results are tested to identify which digitization regions meet a predefined accuracy requirement. The resulting information is used to perform a computer-assisted surgical procedure. A computerized simulation method for registration of a bone for a computer-assisted surgical procedure is also provided based on processor executing random stroking an expected exposed surface of a bone model with multiple of stroke curves to cover most of the bone model surface with uniform noise and a random sample consensus is applied to remove outlying point to yield the best registration results, to find the top subset as to overlap. A method to perform computer-assisted surgery is also provided.