3D Image Registration via Multi-Modality Motion Data Fusion
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Solution Overview
Problem
Existing medical imagery registration techniques face challenges due to noise in image data caused by patient and imaging system movements, leading to inaccuracies in navigation and 3D image reconstruction during surgical procedures.
Innovation Solution
The use of multiple modalities to collect and aggregate position data, which is then used to determine a more accurate pose of the patient anatomy for registration, thereby improving the accuracy of navigation and 3D image reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional single-modality image capture is used, then the imaging process is simple and fast, but registration accuracy deteriorates due to noise from patient and system movements
Solution Approach 1:
The patent combines multiple imaging modalities (optical, acoustic, electromagnetic sensors) and multiple capture devices into a unified imaging system. These diverse sensors capture data from different physical principles simultaneously, allowing the system to distinguish true anatomical signals from movement-induced noise through multi-modal correlation analysis, thereby improving registration accuracy without relying on a single complex modality
Solution Approach 2:
The imaging system is designed with multi-functional capabilities, integrating various sensor types (optical cameras, acoustic sensors, electromagnetic detectors) that can each perform multiple functions. The system universally captures different aspects of patient anatomy and movement simultaneously, enabling comprehensive data analysis that filters noise while preserving anatomical detail for accurate registration
2Measurement precision
If multiple modalities are integrated to collect position data, then registration accuracy improves, but data processing complexity increases
Solution Approach 1:
The patent segments the data processing task into distinct functional modules: position data collection from multiple modalities, individual modality processing, correlation analysis between modalities, and final pose determination. This segmentation allows complex multi-modal data to be processed systematically through organized stages, reducing overall processing complexity while maintaining high accuracy
Solution Approach 2:
The system incorporates feedback mechanisms where position data from multiple modalities is continuously correlated and validated. The processing system uses feedback from initial pose estimates to refine subsequent measurements, iteratively improving accuracy while managing processing complexity through adaptive algorithms that adjust based on data quality and consistency across modalities
Data Source
AI summary
Devices, systems, and methods used to register medical image data with anatomical positions are disclosed. The image data is captured by an imaging system over a period of time. The positions are determined by one or more modalities over the period of time. The positions are collected into position data, and determinations are made as to which position data is best for registering the image data with patient anatomy and for reconstructing 3D images of the patient anatomy.