3D DR Imaging Angle Calibration for Large-Scale Reconstruction
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Solution Overview
Problem
Existing three-dimensional DR systems are limited to small-scale imaging due to device structure and scanning limitations, resulting in tissue overlapping and inaccurate reconstruction of large-scale objects.
Innovation Solution
A DR-based large-scale three-dimensional imaging method and apparatus that includes acquiring projection images with marker feature points, calibrating initial capturing angles, and performing three-dimensional reconstruction using a calibrated rotation center and angle data to achieve precise large-scale imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If three-dimensional DR is performed using existing devices with limited detector width and scanning range, then three-dimensional tomographic images can be reconstructed to avoid tissue overlapping, but the imaging scope is restricted to small-scale local tissues only
Solution Approach 1:
The patent divides the large-scale imaging task into multiple segments by capturing projection images from different angles and positions. The imaging process is segmented into multiple scanning passes, each covering a portion of the large-scale object, and the results are reconstructed together to form a complete three-dimensional image of the entire large-scale structure.
Solution Approach 2:
The patent transitions from two-dimensional DR imaging to three-dimensional imaging by adding the angular dimension. Projection images are captured from multiple angles around the object, and these two-dimensional projections are reconstructed into a three-dimensional representation, enabling large-scale imaging that overcomes the detector width limitation.
2Measurement precision
If initial capturing angle data is used directly for three-dimensional reconstruction without calibration, then the reconstruction process is simpler and faster, but measurement errors and deviations in angle data reduce the precision of three-dimensional reconstruction
Solution Approach 1:
The patent introduces marker feature points as an intermediary element to facilitate angle calibration. These markers are placed on the object and serve as reference points for determining the rotation center coordinates and capturing angle data. By using these intermediate markers, the system can accurately calibrate the angular positions without requiring complex direct measurement systems.
Solution Approach 2:
The patent calibrates the initial capturing angle data by adjusting angular parameters based on the positions of marker feature points. The rotation center coordinates and capturing angles are refined through parameter optimization, transforming the initial uncalibrated angle data into precise angular measurements that enable accurate three-dimensional reconstruction.
3Measurement precision
If projection images are captured from multiple angles for three-dimensional reconstruction, then tissue overlapping is avoided and spatial information is improved, but the imaging time increases and real-time observation capability is reduced
Solution Approach 1:
The patent employs periodic scanning where the detector and X-ray source rotate around the object at regular angular intervals, capturing projection images at discrete angular positions. This periodic capture strategy balances the need for multiple angular views with the constraint of imaging time, acquiring sufficient data for three-dimensional reconstruction while maintaining operational efficiency.
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 large-scale three-dimensional reconstruction by calibrating initial capturing angles and rotation centers, reducing measurement errors, and ensuring precise positioning of projection images in the three-dimensional space.
Implementation Method 1
an X-ray generator (110), a detector (120)... the detector converts information of an X-ray penetrating through a human body into a digital signal
Data Source
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AI summary
The present application discloses a DR-based large-scale three-dimensional imaging method and apparatus. The DR-based large-scale three-dimensional imaging method includes: acquiring a to-be-processed image captured by a DR device, wherein the to-be-processed image includes a plurality of projection images from different angles, and the projection images include marker feature points; acquiring initial capturing angle data of each of the projection images; calibrating coordinates of a rotation center and the initial capturing angle data according to the marker feature points so that feature angles of the marker feature points are consistent; and performing three-dimensional reconstruction according to the projection images, the calibrated coordinates of the rotation center and the calibrated initial capturing angle data to obtain a reconstructed image. Thus, the precision of three-dimensional modeling is improved; and after a rotation angle is calibrated, accurate positions of the captured projection images in a three-dimensional space can be determined, and positions of the large-scale projection images are determined in the three-dimensional space through the calibrated angle, and thus, large-scale three-dimensional reconstruction can be achieved.