Layered AR Anatomical Visualization for Predictive Treatment Planning
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Solution Overview
Problem
Existing augmented reality technologies in healthcare lack the ability to effectively display and modify multiple anatomical layers of a patient's body, limiting healthcare professionals' ability to accurately assess and communicate treatment plans.
Innovation Solution
An augmented reality system that overlays graphical representations of anatomical layers onto a real-world view, allowing users to modify and toggle between layers, predict the impact of medical procedures on different body systems, and display future or preferred anatomical profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If augmented reality technology is used to overlay anatomical layers, then visualization accuracy is improved, but device complexity increases
Solution Approach 1:
The system segments the human body into multiple independent anatomical layers (skin, fat, muscle, bone, organs) that can be displayed separately and selectively. This allows healthcare professionals to visualize specific layers without processing the entire complex anatomy at once, improving visualization accuracy while managing computational complexity through layered processing.
Solution Approach 2:
The patent transitions from traditional 2D imaging to 3D volumetric rendering of anatomical structures. By adding the dimension of depth and spatial orientation, the system achieves more accurate visualization of anatomical relationships while using computational techniques to manage the increased complexity of three-dimensional processing.
2Adaptability or versatility
If multiple anatomical layers are displayed simultaneously, then treatment planning capability is improved, but ease of operation deteriorates
Solution Approach 1:
The system provides dynamic control over anatomical layer visibility, allowing users to selectively display, hide, or toggle specific layers based on the treatment planning requirements. This dynamic layering capability enables versatile treatment planning while maintaining ease of operation through intuitive on-demand layer selection rather than requiring all layers to be displayed simultaneously.
Solution Approach 2:
The system extracts and separates specific anatomical information into individual displayable layers. Users can extract only the necessary anatomical data for a particular treatment scenario, simplifying the interface by allowing selective visualization rather than requiring comprehensive multi-layer display, thus improving ease of operation while maintaining planning versatility.
3Reliability
If anatomical layers are modified to predict procedure outcomes, then predictive accuracy is improved, but manufacturing precision requirements increase
Solution Approach 1:
The system performs preliminary processing and segmentation of anatomical data into distinct layers before the actual treatment planning. By pre-processing the data to separate and organize anatomical structures, the system establishes a foundation that simplifies subsequent modification and prediction tasks, improving predictive accuracy while reducing the precision requirements for final data processing through the preliminary organization step.
Data Source
AI summary
A method for displaying a target individual includes receiving a plurality of reference markers that characterize a target individual and selecting a first reference image file and a second reference image file from a database. The method further includes displaying a first graphical representation and a second graphical representation over a visual representation of the target individual. The first reference image file is associated with a first anatomical layer and the second reference image file is associated with a different anatomical layer. The method additionally includes modifying at least one of (i) the first graphical representation or (ii) at least one of the plurality of reference markers. The method also includes displaying, on a display, a modified visual representation of the target individual based on the modified at least one of (i) the first graphical representation or (ii) the at least one of the plurality of reference markers.