Dynamic Motion Analysis for Whole-Body Spinal Balance Planning
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Solution Overview
Problem
Current spinal surgical planning methods fail to consider the comprehensive, dynamic effects of spinal surgery on the entire body's balance and alignment, leading to potential negative outcomes such as muscle pain, compensation mechanisms, and poor posture due to inadequate consideration of spinal, pelvic, and lower limb parameters during movement.
Innovation Solution
A method involving pre-operative dynamic motion analysis using motion capture technology to simulate the effects of potential spinal surgical corrections on skeletal features, optimizing spinal, pelvic, and lower limb parameters through iterative adjustments to achieve balanced alignment during both static and dynamic conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a localized surgical planning approach is used focusing only on specific vertebrae, then the surgical procedure is simpler to plan and execute, but the global balance and alignment of the entire body is compromised leading to muscle pain and compensation mechanisms
Solution Approach 1:
The method segments the body into distinct anatomical regions (spine, pelvis, lower limbs) and analyzes alignment parameters for each segment separately using motion capture data, then integrates these segmented analyses to evaluate overall global balance. This allows complex full-body analysis to be broken down into manageable regional assessments.
Solution Approach 2:
The invention transitions from traditional two-dimensional radiographic analysis to three-dimensional motion capture analysis, adding the temporal dimension by capturing multiple frames during dynamic movement. This enables assessment of alignment parameters throughout the gait cycle rather than in static positions only.
2Ease of manufacture
If a uniform standard approach is used for all subjects, then the surgical planning process is standardized and easier to implement, but individual variations in balance parameters and movement patterns are not accounted for leading to inadequate outcomes
Solution Approach 1:
The method applies local quality by establishing subject-specific acceptable ranges for alignment parameters based on individual motion capture data, rather than using universal standards. Each subject's gait pattern, balance characteristics, and anatomical variations are captured and used to define personalized acceptance criteria for surgical planning.
Solution Approach 2:
The invention changes the approach from fixed standard parameters to dynamic, subject-specific parameters by measuring alignment values throughout the gait cycle and using these measured parameters to define acceptable ranges tailored to each individual's pre-operative condition and movement characteristics.
3Device complexity
If static analysis methods are used for surgical planning, then the analysis is simpler and requires less data, but the dynamic effects of surgery on gait and movement are not captured leading to poor post-surgical outcomes
Solution Approach 1:
The method performs preliminary dynamic analysis by capturing motion capture data before surgery to establish baseline alignment parameters and acceptable ranges during actual movement. This pre-operative dynamic characterization allows the surgical plan to be optimized for maintaining or improving gait quality and balance during post-surgical recovery.
Solution Approach 2:
The invention implements feedback by using measured alignment parameters from motion capture during gait to define acceptable ranges, then using these ranges to evaluate and refine the surgical plan. The system continuously references the subject's own dynamic characteristics to guide planning decisions.
Data Source
Figure 1A~1C
Figure 2~3B
Figure 4A~6
AI summary
A method of determining a surgical spinal correction for a subject using analysis of motion capture images of the subject, which uses the steps of obtaining pre-operative three- dimensional images of a spinal region, obtaining a pre-operative time sequenced set of images of the subject during a movement progression of said subject, calculating in a plurality of the motion capture images, alignment parameters relating to upper and lower body regions of the subject, and determining if any of the calculated alignment parameters are outside their predetermined acceptable ranges in one or more of the images, iteratively adjusting anatomical elements in three-dimensional images until all of the calculated alignment parameters are within their predetermined acceptable ranges; and adjusting spinal anatomy in the three-dimensional images according to the degree of adjustment of spinal parameters in the motion capture images to determine a surgical spinal correction.