Patient-Specific Anatomical Analysis System for Surgical Planning
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Solution Overview
Problem
Traditional surgical approaches, such as hip replacement surgery, often fail to accurately account for patient-specific anatomical features, particularly the interconnected movements of the pelvis and spine, leading to inadequate identification of anatomical landmarks and potential surgical errors.
Innovation Solution
A system and method utilizing computer algorithms and machine learning to analyze digital medical images, identify patient-specific anatomical landmarks, and calculate precise anatomical parameters, including spinal inflection points and spinopelvic measurements, to provide a more accurate and comprehensive assessment of a patient's unique anatomy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional surgical approaches are used focusing only on the hip joint, then the surgical procedure is simpler and faster, but the accuracy of anatomical landmark identification deteriorates and surgical outcomes worsen
Solution Approach 1:
The system segments the patient's anatomy into distinct regions (spine, pelvis, hip joint, femur) and analyzes each region separately using specialized imaging views and algorithms. This allows comprehensive analysis of spinopelvic anatomy without overwhelming complexity, as each segment can be evaluated independently with appropriate measurement protocols.
Solution Approach 2:
The system introduces an intermediary computational analysis layer that processes medical images and automatically identifies anatomical landmarks, calculating spinopelvic parameters. This intermediary software bridge between raw imaging data and surgical decision-making reduces the complexity burden on the surgeon while improving measurement precision.
2Measurement precision
If comprehensive spinopelvic analysis is performed to improve surgical accuracy, then anatomical landmark identification improves, but the time and resources required increase
Solution Approach 1:
The system performs comprehensive spinopelvic analysis as a preliminary step before surgery, automatically processing medical images and generating anatomical measurements in advance. This preliminary computational work eliminates the need for time-consuming manual measurements during surgical planning, as all spinopelvic parameters are pre-calculated and ready for review.
Solution Approach 2:
The system creates digital copies and representations of the patient's anatomy from medical images, allowing virtual measurement and analysis of spinopelvic parameters. This digital modeling approach replaces time-intensive physical measurement methods while maintaining or improving measurement precision through automated computational algorithms.
3Measurement precision
If manual measurement methods are used for spinopelvic parameters, then the process is simpler to implement, but measurement precision and consistency deteriorate
Solution Approach 1:
The system replaces manual mechanical measurement methods with automated computational algorithms that process medical images. Software-based measurement tools automatically identify anatomical landmarks and calculate spinopelvic parameters, eliminating human error and variability while improving precision and consistency across different patients and surgeons.
Solution Approach 2:
The system enables self-service automated analysis where the software independently processes medical images, identifies anatomical structures, and generates spinopelvic parameter reports without requiring extensive manual intervention. This self-automating capability improves measurement precision while the user interface maintains simplicity for the end user.
4Measurement precision
If traditional imaging views are used, then image acquisition is faster and simpler, but the ability to identify certain anatomical landmarks deteriorates due to occlusions
Solution Approach 1:
The system employs multiple imaging dimensions and views (lateral, AP, and oblique projections) to visualize spinopelvic anatomy from different angles. By analyzing anatomy across multiple dimensional perspectives, the system overcomes occlusions present in single-view imaging, ensuring all critical anatomical landmarks are visible and measurable.
Solution Approach 2:
The system segments the analysis into different anatomical regions and selects appropriate imaging views for each region. This segmented approach allows optimized image acquisition for specific anatomical structures of interest, reducing unnecessary imaging while ensuring critical landmarks are captured with appropriate visibility.
Data Source
AI summary
A system and method for determining patient-specific anatomical parameters to improve surgical outcomes. Some embodiments include processes for predicting the parameters of occluded anatomy. Some embodiment includes processes for more accurately identifying a center point of a ball and socket joint, such as a center point or center of rotation of a femoral head. Some embodiments include processes for identify a patient-specific spinal curvature, including more precisely determining patient specific spinal inflection points. The various steps can be performed automatically through trained computing devices and graphically presented to a surgeon for review and any necessary modifications.