3D Imaging Projection Method Reducing Calculation Time
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Solution Overview
Problem
Current three-dimensional imaging methods in radiological medicine face challenges in reducing calculation time due to the complexity of system matrices in iterative reconstruction algorithms, particularly in computed tomography, where large matrices and time-consuming computations hinder the achievement of high-resolution imaging.
Innovation Solution
A projection method that breaks down the imaging process into smaller sub-voxels and projects these onto two 2D detection planes, calculating sub-geometric factors by rotating plane detectors to simplify calculations and reduce computational time, forming a geometric factor matrix for image reconstruction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If iterative reconstruction algorithms with precise systematic matrix models are used to improve imaging quality, then manufacturing precision is improved, but loss of time increases due to time-consuming computations
Solution Approach 1:
The patent segments the 3D imaging space into multiple 2D detection planes, allowing the system matrix to be divided into smaller sub-matrices that can be processed independently and in parallel, thereby reducing overall computation time while maintaining imaging quality
Solution Approach 2:
The patent transforms the 3D reconstruction problem into multiple 2D projection problems by introducing a detection plane dimension. This dimensional reduction allows for more efficient matrix operations and parallel processing, significantly decreasing calculation time while preserving the ability to reconstruct high-quality 3D images
2Manufacturing precision
If the number of light beams is increased by segmenting the detector model to improve imaging precision, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
Instead of increasing the number of light beams by segmenting the detector in 3D space, the patent introduces a 2D detection plane dimension to represent detector positions. This approach achieves the same goal of improving imaging precision by capturing more spatial information while avoiding the exponential increase in system complexity that would result from excessive beam segmentation
3Manufacturing precision
If ray tracing techniques are used to calculate geometric factors for image reconstruction, then manufacturing precision is improved, but loss of time increases due to computational complexity
Solution Approach 1:
The patent segments the ray tracing calculation by dividing the 3D space into multiple 2D detection planes. Each plane's geometric factors can be calculated independently using simplified 2D ray tracing algorithms, which are computationally less intensive than full 3D ray tracing, thereby reducing calculation time while maintaining geometric factor accuracy
Solution Approach 2:
The patent reduces the computational complexity of ray tracing by transforming 3D geometric calculations into multiple 2D projection calculations. This dimensional reduction allows for more efficient computation of geometric factors while preserving the accuracy needed for high-quality image reconstruction
Data Source
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AI summary
A projection method of three-dimensional imaging includes the steps of respectively projecting a radiation field emitted from a radiation source with respect to one specific detector of a plurality of detectors and a three-dimensional sub-voxel onto two two-dimensional planes; rotating the specific detector to one specific axis of the two dimensional plane; performing a calculation for obtaining a sub-geometric factor corresponding to each specific detector and each voxel; and, finally, forming a geometric factor by combining each sub-geometric factor defined by each detector and each voxel.