Medical Image Reconstruction Correcting 3D Spatial Position Errors
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Solution Overview
Problem
Existing medical image reconstruction systems struggle with accurately aligning 3D medical images, leading to distorted CT images and incomplete panoramic or cephalometric images due to patient positioning errors, which affects diagnostic accuracy and requires manual input for image reconstruction.
Innovation Solution
A medical image reconstruction system that automatically corrects the 3D spatial position of CT images using geometry correction algorithms, detects the dental arch trajectory, and generates panoramic or cephalometric images without additional imaging, reducing exposure to X-rays and eliminating the need for manual input.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If simple image synthesizing method is used to overlap medical images in selection area, then image acquisition process is simplified, but the acquired 2D medical image becomes inaccurate due to radial propagation of ultrasonic beams or X-ray beams causing different magnification degrees
Solution Approach 1:
The patent applies parameter changes by introducing correction parameters (scaling factors and translation vectors) to compensate for the radial propagation effects. The system calculates correction parameters based on the distance from the rotation center and applies these parameters to adjust the magnification and position of image blocks, thereby correcting the distortion caused by simple overlapping methods.
2Productivity
If CT images are taken without accurately aligning with the position of patient, then the imaging process is faster and easier, but horizontal asymmetry or distortion in the facial skeleton cannot be prevented
Solution Approach 1:
The patent applies preliminary action by performing geometry correction on the CT volume data before generating panoramic or cephalometric images. The system detects the rotation center, calculates correction parameters for each cross-sectional image, and applies these corrections in advance to eliminate positioning errors, thereby preventing horizontal asymmetry or distortion in the final images.
3Extent of automation
If manual input is required for image reconstruction, then reconstruction can be performed, but the process is time-consuming and labor-intensive
Solution Approach 1:
The patent applies self-service by implementing an automatic geometry correction algorithm that performs the entire reconstruction process without manual intervention. The system automatically detects the rotation center, calculates correction parameters for all cross-sectional images, applies the corrections, and generates the final panoramic or cephalometric images, thereby eliminating the need for manual input and significantly reducing reconstruction time.
Data Source
AI summary
A medical image reconstruction system and method for correcting a CT image such that the CT image is located at the center of a three-dimensional (3D) space in order to overcome an error that would otherwise be formed due to an inaccurate position of a patient during Obtaining CT images. After the 3D spatial positions of a 3D medical image are corrected using 3D medical image data, a trajectory of a dental arch is detected. A two-dimensional (2D) medical image is created from the 3D medical image through automatic reconstruction on the basis of the detected trajectory of the dental arch.