3D Volume Rendering for Surgical Planning Without Bone Contouring
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Solution Overview
Problem
Current surgical planning and navigation systems for orthopedic procedures, such as joint replacement surgery, are time-consuming and labor-intensive, requiring manual contouring of bone surfaces and generation of digital surface models, which can lead to human error and inefficiency.
Innovation Solution
A system and method for providing surgical planning and guidance using 3D image set-based implant positioning that eliminates the need for bone contouring, utilizing automatic 3D image filters and volume rendering to enhance image processing and display, allowing for real-time visual feedback and optimized implant positioning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual contouring of bone surfaces is used to generate digital surface models, then the registration accuracy is improved, but the time consumption and labor intensity increase significantly
Solution Approach 1:
The patent replaces the manual mechanical contouring process with an automated computer-based system that uses 3D imaging data (CT or MRI) to automatically generate bone surface models and identify anatomical landmarks. This substitution eliminates the need for time-consuming manual tracing while maintaining registration accuracy through algorithmic processing of volumetric imaging data.
Solution Approach 2:
The patent creates a digital copy of the bone anatomy from 3D medical images, allowing the system to work with virtual representations rather than requiring physical manual contouring. The digital surface models are generated automatically from volumetric data, enabling rapid reproduction and analysis without repeated manual intervention.
2Measurement precision
If manual contouring of bone surfaces is used to generate digital surface models, then the registration accuracy is improved, but the complexity of the procedure increases
Solution Approach 1:
The patent replaces complex manual procedures with automated computational algorithms that process 3D imaging data. The system automatically performs tasks including bone surface reconstruction, anatomical landmark identification, and registration, thereby reducing procedural complexity while maintaining or improving accuracy through consistent algorithmic application.
Solution Approach 2:
The system performs self-service by automatically generating bone surface models and identifying anatomical landmarks without requiring manual intervention. The computational algorithms independently process the 3D imaging data to create registered models suitable for surgical planning, eliminating the need for operators to perform complex manual contouring operations.
3Loss of information
If 3D volume rendering is used instead of 2D images, then the visualization quality and anatomical context are improved, but the data processing requirements and computational load increase
Solution Approach 1:
The patent performs preliminary actions by pre-processing the 3D volumetric data to extract and segment relevant bone structures before rendering. This includes automatic thresholding, region-growing algorithms to isolate bones from surrounding tissues, and optimization of volume data structures, thereby reducing the computational load during actual rendering operations while preserving complete anatomical context.
4Productivity
If automated 3D image filtering and volume rendering are used, then the image processing time is reduced, but the requirement for advanced computational resources increases
Solution Approach 1:
The patent segments the image processing pipeline into distinct computational stages: (1) automatic 3D filtering and noise reduction, (2) bone surface extraction and segmentation from volumetric data, (3) volume rendering with optimized display parameters, and (4) anatomical landmark identification. This segmentation allows each stage to be optimized independently and enables parallel processing where possible, improving overall productivity while managing computational resource requirements through structured task distribution.
Data Source
AI summary
A system for providing surgical planning and guidance with three-dimensional visualization is disclosed. In particular, the system obtains an image set of an anatomy of interest of a subject, and renders the image set on a user interface using volume rendering. Notably, the system accomplishes the foregoing without generating surface models or conducting bone contouring. The system may, during generation of an implant plan for implanting an implant onto the anatomy of interest, suggest landmark points in the volume rendered image set. Once the landmark points are confirmed, the system may facilitate implant positioning via implant controls. The system conducts a registration process to confirm a match between the physical anatomy of interest and the information contained in volume-rendered image set in the plan. If there is a match, the system may facilitate performance of a surgical procedure for implanting the implant onto the anatomy of interest of the subject.