VR Medical Imaging Workspace for Multi-Modal 3D Diagnostic Viewing
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Solution Overview
Problem
The healthcare industry faces challenges in efficiently integrating augmented reality (AR) and virtual reality (VR) technologies into medical imaging due to regulatory constraints and the complexity of hardware configurations, leading to suboptimal diagnostic environments and increased costs.
Innovation Solution
The SieVRt system integrates AR and VR technologies through a virtualized environment that allows for seamless integration of new methods, enabling dynamic 3D and 4D presentations, multi-dimensional data fusion, and holographic displays, while optimizing diagnostic workflows and reducing hardware dependence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If AR and VR technologies are integrated into medical imaging, then diagnostic accuracy and data presentation quality are improved, but device complexity and hardware requirements increase
Solution Approach 1:
The patent creates virtual copies of imaging data and diagnostic environments within a virtual reality framework. Instead of requiring complex physical hardware for each diagnostic station, the system generates and manipulates digital representations of medical images, anatomical structures, and diagnostic tools within a virtual space, thereby reducing physical hardware complexity while maintaining diagnostic accuracy.
Solution Approach 2:
The system replaces traditional mechanical imaging equipment and physical diagnostic workstations with virtual reality-based digital systems. The patent substitutes physical hardware requirements with software-based virtual environments that can be accessed through standard computing devices, eliminating the need for complex specialized hardware while preserving diagnostic capabilities.
2Loss of information
If multiple imaging modalities and data sources are combined, then diagnostic information completeness is improved, but system complexity and data integration difficulty increase
Solution Approach 1:
The patent merges multiple imaging modalities (CT, MRI, PET, ultrasound) and various data sources (laboratory results, genomic data, patient history) into a single integrated virtual diagnostic environment. The virtual reality system combines these diverse data types into unified three-dimensional representations and interactive models, allowing all information to be accessed and correlated simultaneously without increasing individual system complexity.
Solution Approach 2:
The virtual reality diagnostic platform serves as a universal system that can handle multiple imaging modalities and data types through a single interface. The patent creates a multi-functional environment where the same virtual space can display and manipulate different types of medical data, eliminating the need for separate specialized systems for each modality and reducing overall system complexity.
3Adaptability or versatility
If physical reading room space is expanded to accommodate advanced imaging capabilities, then diagnostic capability is improved, but facility cost increases
Solution Approach 1:
The patent creates virtual copies of diagnostic environments and imaging capabilities within virtual reality spaces. Instead of expanding physical reading rooms to accommodate advanced imaging equipment, the system generates digital representations of diagnostic tools, imaging modalities, and analysis environments that can be accessed and manipulated in virtual space, thereby maintaining diagnostic capability without requiring additional physical facility space.
Solution Approach 2:
The system substitutes physical reading room infrastructure with virtual reality-based diagnostic environments. The patent replaces the need for expensive physical space and specialized hardware with software-based virtual platforms that can be deployed on standard computing devices, eliminating the correlation between facility size and diagnostic capability while reducing costs.
Data Source
AI summary
A medical imaging system includes a workstation and software configured for accessing medical image data from a database and generating one of more of 1D, 2D, 3D and 4D representations of the medical image data on one or more virtual reality imaging devices, where the virtual display is manipulatable by a user through a user interface associated with the virtual reality imaging device.