Dynamic 3D Bone Model Analysis for Hip Impingement Resection
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Solution Overview
Problem
Current methods for determining the precise location and amount of bone resection in deformed articulations, such as those affected by Femoro Acetabular Impingement, are inaccurate and laborious, particularly in minimally invasive procedures like arthroscopy, due to the reliance on static 2D projections and manual processing of 3D images.
Innovation Solution
A method involving the construction of 3D surface models of bones, application of predefined motion patterns to simulate dynamic movements, and real-time determination of interpenetration volumes to identify the optimal resection volume, allowing for virtual correction of bone surfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If static 2D projections and manual processing of 3D images are used, then the method is simple to implement, but the accuracy and reproducibility of bone resection determination deteriorates
Solution Approach 1:
The patent transitions from static 2D projections to dynamic 3D models that simulate actual hip joint motion. By applying motion patterns to the 3D bone models, the system dynamically assesses impingement throughout the range of motion, enabling accurate identification of cam and pincer lesions that static images cannot detect. This dynamic approach maintains ease of implementation through automated algorithms while dramatically improving measurement precision.
Solution Approach 2:
The patent moves from two-dimensional radiographic projections to three-dimensional virtual models of the hip joint. This dimensional transition allows comprehensive visualization and measurement of bone deformities in all spatial dimensions, enabling precise determination of resection volumes while maintaining computational accessibility through standardized imaging protocols.
2Object-affected harmful factors
If arthroscopic treatment with endoscopic camera and small instruments is used, then the invasiveness is reduced, but the visibility and access to the hip joint deteriorates
Solution Approach 1:
The patent performs comprehensive virtual assessment and precise measurement of bone deformities before the actual arthroscopic surgery. By using 3D motion analysis to identify exact cam and pincer lesion locations and calculate required resection volumes in advance, the system enables minimally invasive surgery with clear surgical targets, compensating for the limited visibility during the actual arthroscopic procedure.
3Adaptability or versatility
If manual processing of 3D images is performed, then the flexibility in analysis is maintained, but the productivity and reproducibility deteriorates
Solution Approach 1:
The patent implements automated algorithms that independently process 3D bone models, apply motion patterns, detect impingement, and calculate resection volumes without requiring manual intervention. This self-service approach maintains analytical flexibility through programmable motion patterns while dramatically improving productivity by eliminating time-consuming manual measurements and ensuring consistent reproducible results across different cases and operators.
4Loss of information
If static 3D bone volumes are reconstructed, then the 3D information is obtained, but the ability to predict impingement location during mobilization deteriorates
Solution Approach 1:
The patent transforms static 3D bone models into dynamic simulations by applying physiological motion patterns that replicate actual hip joint movement. This dynamic analysis reveals the temporal and spatial progression of impingement throughout the range of motion, accurately predicting where cam and pincer lesions will contact surrounding structures during mobilization, information that static 3D reconstructions cannot provide.
Data Source
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AI summary
The invention relates to a method for real-time determination an optimal corrected surface of a first bone and/or a second bone forming together an articulation, the first and/or second bones presenting an overgrowth deformation, said corrected surface providing a greater range of motion of the articulation, the method comprising the following steps: i) constructing from acquired images of the articulation 3D voxel models of the first bone and the second bone; ii) for each of first and second bone voxel models, constructing a coordinate system defined by a center and three axes; iii) applying a motion pattern on the coordinate system of the second bone with respect to the coordinate system of the first bone, a motion pattern being a set of contiguous positions of the first or second bone coordinate systems with respect to the other bone coordinate system, the contiguous positions defining a movement of one bone with respect to the other, wherein said motion pattern is initially loaded from a data base of predefined motion patterns; iv) determining a resection volume from said motion pattern as being the union of interpenetration volumes of the first or second bone voxel model with the other bone voxel model for each position of the motion pattern; v) determining the optimal corrected surface by virtually removing said resection volume from the first and/or the second bone voxel model.