3D CT Image Axial Tilt Correction via Automated Slice Alignment
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Solution Overview
Problem
Conventional methods for reorienting three-dimensional (3D) CT images of planar objects face challenges due to misalignment caused by offset start angles and axial tilt, requiring manual correction which is slow, inaccurate, and dependent on user experience.
Innovation Solution
An automated process for reorienting 3D scan images by obtaining axial slices, determining the angle of tilt based on line intensity distribution, and shifting or rotating the slices to align the object lines parallel to a reference plane, thereby correcting axial tilt and ensuring layers are parallel to a reference plane.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual manipulation of CT images is used to align the object image with a reference axis or plane, then the axial tilt can be corrected, but the process is slow and its accuracy depends on the experience and subjective judgment of the user
Solution Approach 1:
The system automatically detects the axial tilt by analyzing the object's geometry and self-corrects the orientation without requiring manual user intervention. The computer identifies the rotation axis and reorients the image data autonomously, eliminating dependency on user experience and judgment while providing consistent, objective results.
Solution Approach 2:
The patent replaces the manual mechanical manipulation of images with an automated computational system. Instead of users physically adjusting and aligning images, the system uses algorithms to detect tilt angles and automatically reorient the image data, substituting human操作 with automated image processing and mathematical transformations.
2Ease of operation
If manual correction of axial tilt is performed, then the orientation can be adjusted, but the process is slow and accuracy depends on user experience
Solution Approach 1:
The system performs self-service by automatically detecting the axial tilt and correcting the orientation without requiring user intervention. The computer autonomously identifies the rotation axis, calculates the tilt angle, and reorients the image data, making the process both simple to operate and highly productive.
Solution Approach 2:
The system performs preliminary detection and calculation of the axial tilt before the actual reorientation is executed. By pre-identifying the rotation axis and calculating the required correction angle, the system prepares the correction in advance, enabling rapid and accurate reorientation without requiring iterative manual adjustments.
3Manufacturing precision
If the object surface plane is not parallel to the rotation axis, then axial tilt occurs, but manual mounting cannot ensure perfect parallelism
Solution Approach 1:
The patent replaces the mechanical mounting process with an automated detection and correction system. Instead of relying on precise mechanical alignment during mounting, the system uses computational methods to identify the actual rotation axis and automatically correct for any misalignment, eliminating the need for complex precision mounting procedures.
Solution Approach 2:
The system performs self-correction by automatically detecting the axial tilt and compensating for mounting imperfections. The computer analyzes the image data to identify the true rotation axis and reorients the images accordingly, making the system insensitive to mounting precision requirements and eliminating the need for complex mechanical adjustment mechanisms.
Data Source
AI summary
A computer-implemented process is provided for reorienting a three-dimensional (3D) scan image of an object. The object has a generally flat surface. The image is constructed from image data obtained during rotation of the object about a rotation axis, which intersects the plane of the flat surface at an angle. Axial slices of the scan image are obtained, each of which represents a slice of the object that is perpendicular to the rotation axis and comprises a line representing the flat surface of the object. The axial slices are shifted to align lines representing the flat surface in different axial slices, thus forming a reoriented 3D image. Alternatively, an axial tilt angle is determined from the positions of these lines and the image is rotated by the determined angle to form a reoriented 3D image.