Surgical Guidance System Correcting Fluoroscopic Distortion
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Solution Overview
Problem
Current surgical guidance technologies face challenges in accurately positioning implants and aligning anatomy during surgeries like total hip arthroplasty and trauma fracture reductions due to distortion in radiographic images and the need for real-time decision-making, often leading to sub-optimal outcomes and potential surgical failures.
Innovation Solution
A computer-implemented method using a microprocessor to correct anatomical image distortion by registering and calibrating images with a digital grid, providing dynamic guidance indicators, and utilizing artificial intelligence for surgical decision support through a graphical user interface, enabling real-time situational awareness and optimal implant placement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If fluoroscopy is used for intraoperative guidance, then real-time imaging is available, but image distortion occurs leading to reduced positioning accuracy
Solution Approach 1:
The patent replaces the mechanical/optical distortion correction approach with a computational image processing system. A microprocessor-based system captures fluoroscopic images and applies digital distortion correction algorithms to compensate for the inherent distortion in fluoroscopic imaging, thereby maintaining measurement precision while preserving real-time imaging capabilities
Solution Approach 2:
The system dynamically adjusts image processing parameters including distortion correction factors, enhancement filters, and contrast settings in real-time to optimize both image quality and positioning accuracy without sacrificing imaging speed
2Productivity
If traditional surgical methods are used, then surgical procedures can be performed, but mal-positioning of implants occurs leading to sub-optimal outcomes
Solution Approach 1:
The patent implements a feedback mechanism where the microprocessor system continuously monitors implant position through processed fluoroscopic images and provides real-time feedback to the surgeon. The system compares actual positioning against target parameters and alerts the surgeon to adjustments needed, thereby improving placement accuracy while maintaining surgical workflow efficiency
Solution Approach 2:
The system performs preliminary distortion correction and image enhancement before the surgeon views the images, preparing optimized visual information in advance. This preliminary processing ensures that when the surgeon makes positioning decisions, the images are already corrected for distortion and enhanced for optimal visualization, improving accuracy without adding time to the surgical procedure
3Measurement precision
If distortion correction is applied to fluoroscopic images, then measurement accuracy improves, but image processing time increases
Solution Approach 1:
The microprocessor system performs distortion correction continuously and automatically on each fluoroscopic image as it is captured, without requiring interruption of the surgical workflow. The processing occurs in real-time as a continuous stream, ensuring that measurement accuracy is maintained while minimizing any time loss through automated parallel processing
Data Source
AI summary
Methods, systems, and computer readable media for automated intraoperative surgical guidance in medical images are disclosed. A system and method generally for analyzing subject image data, calculating surgical decision risks and autonomously providing recommended pathways or actions that support the decision-making process of a surgeon to predict optimized implant and subject outcomes (ex. implant guidance, fracture reduction, anatomical alignment) by a graphical user interface.