Dental DVT Small-Volume Imaging With Flexible Rotation Center Selection
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Solution Overview
Problem
Current DVT devices struggle to arbitrarily place a small volume at any position within the maximum possible field-of-view while ensuring good reconstruction, particularly when centers of rotation are not calibrated for non-circular paths, limiting the precise execution of imaging for a single tooth.
Innovation Solution
A method that allows positioning, recording, and reconstructing a small volume at any location within the maximum possible field-of-view by pre-calculating and commanding aperture positions based on selected centers of rotation, using software to determine imaging positions and superimpose high-resolution information on a 3D scout image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a small volume is imaged to minimize dose exposure, then patient radiation dose is reduced, but the ability to arbitrarily place the volume at any position within the maximum field-of-view is limited
Solution Approach 1:
The system performs preliminary actions by pre-calculating all possible imaging positions for multiple predetermined centers of rotation before actual imaging. The software determines in advance which center of rotation and imaging positions will best capture the user-selected small volume, enabling flexible placement without trial-and-error imaging that would increase dose exposure.
Solution Approach 2:
The system dynamically adapts the imaging parameters by allowing the user to select any position within the maximum field-of-view, then automatically adjusting the center of rotation selection and imaging positions accordingly. This dynamic adaptation enables arbitrary volume placement while maintaining reconstruction quality and minimizing dose through optimized small-volume imaging.
2Manufacturing precision
If individual centers of rotation are calibrated for non-circular paths to enable good reconstruction, then reconstruction quality is improved, but the ability to image small volumes at arbitrary positions is restricted
Solution Approach 1:
The system segments the imaging space by defining multiple predetermined centers of rotation, each optimized for specific imaging scenarios. Instead of using a single center of rotation that compromises either reconstruction quality or positioning flexibility, the system divides the field-of-view into zones served by different centers, allowing optimal reconstruction quality for each zone while maintaining overall versatility.
Solution Approach 2:
The system changes parameters by selecting different centers of rotation based on the desired volume position. Each center of rotation has specific calibration parameters optimized for its region, and the software automatically selects and adjusts to the appropriate center based on user input, thereby maintaining high reconstruction quality across arbitrary volume positions.
3Measurement precision
If the center of rotation is shifted to place a small volume in the field-of-view, then volume positioning is improved, but the imaging execution becomes more complex
Solution Approach 1:
The system performs self-service by automatically calculating the optimal center of rotation and imaging positions based on the user-selected volume location. Instead of requiring the practitioner to manually complex calculations or adjustments, the software autonomously determines the best imaging parameters, maintaining positioning accuracy while eliminating execution complexity for the user.
Solution Approach 2:
The system replaces manual mechanical adjustment with software-based calculation and control. Instead of requiring physical manipulation or complex mechanical positioning, the software computes the necessary center of rotation shifts and imaging parameters, then automatically controls the imaging device, thereby achieving precise volume positioning without increasing operational complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate imaging and reconstruction of a small volume at any desired location within the maximum possible field-of-view, ensuring precise reconstruction and reduced dose exposure.
Implementation Method 1
The patient is positioned in an X-ray device; A 3D scout image is created with reduced dose
Data Source
AI summary
A method in which: (a) a patient is positioned in an X-ray device; (b) a 3D scout image with reduced dose and with a predefined volume sizes and a predefined center of rotation is created; (c) on the 3D scout image, a practitioner marks the tooth (d) a software determines, based on the position of the enveloping geometry, the available centers of rotation and calculates, based on reference points of the enveloping geometry, the imaging positions; (e) based on the imaging positions, a center of rotation is selected; (f) the previously determined aperture positions and the detector regions to be irradiated are transmitted; (g) the high-resolution image is reconstructed and the newly acquired high-resolution information is superimposed in the 3D scout image; (h) the practitioner receives the 3D scout image for diagnosis and further use.