Multi-Modal Bioimaging Data Integration and Visualization
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Solution Overview
Problem
Current surgical planning tools lack integration of different imaging modalities and provide limited computational analysis, making it difficult for surgeons to accurately answer clinical questions, such as the location of electrodes relative to epileptic onset zones during surgeries.
Innovation Solution
A multi-modal visualization system (MMVS) that integrates anatomical and physiological imaging data from various modalities using a unified 3D interactive platform, enabling improved visualization and simulation of medical procedures through virtual or augmented reality, allowing for real-time interaction with virtual representations of medical tools and subjects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If multiple proprietary imaging tools are used for different modalities, then comprehensive imaging data can be obtained, but integration between modalities is not provided and computational analysis is limited
Solution Approach 1:
The patent merges multiple proprietary imaging modalities (MRI, CT, PET, SPECT, ultrasound) into a single integrated 3D visualization platform. This consolidation allows comprehensive imaging data to be combined and analyzed together, resolving the contradiction by providing modality integration without requiring separate proprietary tools for each analysis task.
Solution Approach 2:
The system creates a universal platform that handles multiple imaging modalities and provides comprehensive computational analysis functions including 3D reconstruction, image fusion, and surgical planning. This multi-functional approach eliminates the need for multiple specialized proprietary tools while maintaining comprehensive imaging capabilities.
2Ease of operation
If conventional 3D tools are used for visualization, then basic anatomical representation is provided, but clinical questions such as electrode location relative to epileptic onset cannot be answered
Solution Approach 1:
The patent transitions from conventional 2D imaging displays to immersive 3D virtual reality visualization. This dimensional enhancement allows clinicians to spatially understand complex relationships between anatomical structures, functional data, and surgical instruments, enabling answer to clinical questions about electrode positioning relative to epileptic onset zones.
Solution Approach 2:
The system introduces an intermediary integrated platform that combines anatomical imaging data with functional imaging data and surgical instrument tracking. This intermediary layer processes and fuses multiple data types to provide comprehensive clinical information that neither conventional 3D tools nor individual imaging modalities could provide alone.
3Measurement precision
If manual processing of imaging data is performed, then detailed analysis can be conducted, but the pipeline is time-consuming and less accurate
Solution Approach 1:
The system implements automated processing pipelines that perform 3D reconstruction, image fusion, and registration tasks without requiring manual intervention. The platform self-calibrates and processes imaging data through integrated algorithms, providing both high accuracy and rapid processing, thus resolving the contradiction between precision and time consumption.
Solution Approach 2:
The patent replaces manual mechanical processing methods with automated computational algorithms and artificial intelligence-based image fusion techniques. This substitution maintains high measurement precision while dramatically reducing processing time through efficient automated pipelines.
Data Source
AI summary
A multi-modal visualization system (MMVS) is provided, which may be used to analyze and visualize bioimaging data, objects, and pointers, such as neuroimaging data, surgical tools, and pointing rods. MMVS can integrate multiple bioimaging modalities to visualize a plurality of bioimaging datasets simultaneously, such as anatomical bioimaging data and functional bioimaging data.