Symmetry-Based Radiological Data Visualization for Orthodontic Misalignment Detection
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Solution Overview
Problem
Current methods fail to effectively highlight orthodontic misalignments, such as dysgnathias, hidden behind tissue structures in radiological image data, requiring manual sifting through volumetric data sets.
Innovation Solution
The method involves automatically determining asymmetries in symmetric tissue structures by mirroring image data along defined axes, generating a symmetry map to visualize discrepancies, and using this map to modulate display parameters like color, contrast, and opacity to highlight asymmetries.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review of volumetric datasets is used to detect anomalies, then detection capability is maintained, but time consumption and operational complexity increase significantly
Solution Approach 1:
The patent applies preliminary action by performing symmetry analysis and generating asymmetry maps before the physician reviews the volumetric data. The system pre-processes the 3D image data by comparing mirrored halves and highlighting asymmetries in advance, so that when the physician views the data, anomalies are already marked and ready for inspection, eliminating the need for manual sifting through entire volumetric datasets.
Solution Approach 2:
The patent introduces an intermediary - the asymmetry map - that mediates between the raw volumetric data and the physician's analysis. This intermediate representation translates complex 3D symmetry comparisons into a simplified visual format that highlights only the asymmetric regions, allowing physicians to focus on potential anomalies without manually examining all volumetric data.
2Illumination intensity
If filter functions are used to highlight details, then specific information becomes more visible, but the ability to detect hidden anomalies behind tissue structures remains limited
Solution Approach 1:
The patent applies the asymmetry principle by exploiting the natural symmetry of healthy anatomical structures. Instead of using traditional filter functions that enhance visibility of certain features, the system compares mirrored halves of the volumetric data and identifies deviations from symmetry. This approach directly reveals anomalies hidden behind tissue structures by finding asymmetries that would otherwise be invisible to conventional filtering methods.
Solution Approach 2:
The patent transitions from 2D filter-based enhancement to 3D symmetry-based analysis. By performing mirror comparisons across the mid-sagittal plane in three-dimensional space and generating volumetric asymmetry maps, the system detects anomalies in a new dimensional context that reveals hidden structures behind tissue layers, overcoming the limitations of traditional 2D filtering approaches.
3Measurement precision
If symmetry analysis is performed on 3D volumetric data, then detection accuracy for hidden anomalies improves, but computational complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the 3D volumetric data into two mirrored halves separated by the mid-sagittal plane. This segmentation allows the system to perform independent analysis of each half and systematically compare corresponding regions, improving detection accuracy while managing computational complexity through structured division of the processing task.
Solution Approach 2:
The patent uses copying by creating a mirrored copy of one half of the volumetric data and comparing it with the other half. This copying approach enables systematic pixel-by-pixel comparison across the entire volume, achieving high detection accuracy for hidden anomalies while using efficient algorithms that leverage the redundancy in the mirrored data to reduce overall computational burden.
Data Source
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AI summary
A method for automatically conditioning and presenting radiological image data, available in digital form, which contain tissue structures in the body of a patient, wherein the image data are distributed over a data space and can be presented in an original presentation, wherein the image data are mirrored on an axis of symmetry which runs in the data space, wherein subsequently, the analysis of coverage discrepancies is used to ascertain asymmetries present in the tissue structures, wherein symmetries and asymmetries which are present are recorded in a symmetry map.