Computed Tomography Image Matrix Size Calculation
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Solution Overview
Problem
Current computed tomography systems require manual operator input to determine the optimal image matrix size for medical image reconstruction, which can lead to inefficient use of resources and suboptimal image quality, especially in cases where storage volume and reconstruction time are concerns.
Innovation Solution
A method to automatically calculate the image matrix size based on the axial image field and sharpness value of the computed tomography system, allowing for dynamic adjustment according to the type of examination, storage capacity, and reconstruction algorithm parameters, without the need for operator intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a larger image matrix size is used for reconstruction, then image quality and spatial resolution are improved, but reconstruction time and storage volume increase
Solution Approach 1:
The patent implements dynamic adjustment of image matrix size based on examination type and clinical requirements. The system automatically selects optimal matrix dimensions (e.g., 512x512, 1024x1024, 2048x2048) according to the specific examination protocol, allowing the reconstruction parameters to adapt dynamically rather than using a fixed matrix size for all examinations
Solution Approach 2:
The system changes the matrix size parameter based on examination type and clinical needs. By modifying this key parameter, the system optimizes the balance between spatial resolution and reconstruction time - using larger matrices (2048x2048) for examinations requiring high spatial resolution like lung imaging, and smaller matrices (512x512) for examinations where temporal resolution is more critical
2Measurement precision
If a larger image matrix size is used for reconstruction, then image quality and spatial resolution are improved, but storage volume required increases
Solution Approach 1:
The system adjusts the matrix size parameter according to examination type and clinical requirements, thereby controlling the storage volume of reconstructed images. By selecting appropriate matrix dimensions for each examination protocol, the system optimizes storage efficiency while maintaining necessary image quality
Solution Approach 2:
The patent implements dynamic selection of matrix size based on examination protocol and clinical needs. The system automatically adapts the matrix dimensions to match the specific requirements of each examination type, preventing unnecessary storage of high-resolution images when lower resolution suffices for the clinical question at hand
3Adaptability or versatility
If manual operator selection of matrix size is required, then flexibility in optimization is achieved, but operator background knowledge and input are needed
Solution Approach 1:
The system performs automatic determination of optimal matrix size based on examination protocol and clinical parameters, eliminating the need for manual operator selection. The reconstruction system self-adjusts the matrix dimensions according to pre-configured protocols and clinical requirements, making the process independent of operator expertise
Solution Approach 2:
The system uses feedback from examination protocol parameters and clinical requirements to automatically determine the appropriate matrix size. By incorporating feedback mechanisms that consider the specific examination type and clinical questions, the system autonomously optimizes reconstruction parameters without requiring operator intervention
Data Source
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AI summary
The invention relates to a method for calculating an image matrix size for reconstructing image data of an object from projection data. The projection data were acquired during a relative rotational movement between a radiation source of a computed tomography system and the object. The image matrix size is calculated as a function of the extent of the axial image field of the computed tomography system and a sharpness value in the image data to be reconstructed. The calculated image matrix size is provided to a reconstruction unit for reconstructing the image data from the projection data.