Acetabulum Registration Using CT-Fluoroscopy and Point Cloud Fusion
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Solution Overview
Problem
Conventional surgical navigation systems face challenges in effectively isolating the acetabulum from non-target regions such as the femur during total hip arthroplasty procedures, particularly in imaging and registration processes.
Innovation Solution
A system that utilizes pre-operative CT images and intra-operative fluoroscopy or point cloud data to isolate the pelvic operating area (acetabulum) by applying merge rules to exclude non-target regions, and employs a navigated ball tip stylus for surface painting and palpation to define bone surfaces and centers of rotation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional imaging methods are used to capture the pelvic region, then the entire pelvic area is imaged, but non-target regions such as the femur are included which interfere with accurate acetabulum isolation
Solution Approach 1:
The patent extracts and removes non-target regions (such as the femur) from the imaged data by comparing pre-operative CT images with intra-operative fluoroscopy or point cloud data. This extraction process isolates only the relevant acetabulum region, eliminating interference from surrounding structures and improving measurement precision for surgical navigation.
2Reliability
If pre-operative CT images are used alone, then comprehensive pelvic anatomy is available, but accurate intra-operative registration is difficult due to patient positioning changes and soft tissue deformation
Solution Approach 1:
The patent merges pre-operative CT images with intra-operative fluoroscopy or point cloud data to create a unified registration process. This combination allows the system to leverage the comprehensive anatomy from CT while using intra-operative data to account for positioning changes and soft tissue deformation, achieving accurate and efficient patient registration without requiring extensive manual adjustment time.
Data Source
AI summary
A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.