Quantitative CT Image Data Reconstruction in Dual-Source Scanning Fields
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Solution Overview
Problem
Dual-source CT devices with different energy spectra capture spectrally resolved information only in a smaller circular subregion of the scanning field due to varying fan-beam arcs, limiting the reconstruction of quantitative CT image data to this area, as conventional methods fail to provide quantitative information in the outer subregion.
Innovation Solution
The method involves dividing the scanning field into two subregions, acquiring CT data from each using dual-source CT devices with different energy spectra, reconstructing quantitative image data using distinct methods for each subregion, and combining these data sets to provide comprehensive quantitative CT image data across the entire field.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If dual-source CT devices use different fan-beam arcs for radiation source-detector systems, then device complexity is reduced and ease of operation is improved, but the area of scanning field with spectrally resolved information is limited to a smaller circular subregion
Solution Approach 1:
The scanning field is divided into two distinct subregions: an inner circular subregion where spectrally resolved information is available from both radiation source-detector systems, and an outer annular subregion where only monospectral data is available. This segmentation allows different reconstruction methods to be applied to each subregion, enabling quantitative CT image data to be generated across the entire scanning field while accommodating the different fan-beam arc configurations
Solution Approach 2:
Different reconstruction approaches are applied to different spatial regions of the scanning field. The inner subregion utilizes spectrally resolved reconstruction methods that leverage dual-energy information, while the outer subregion employs monospectral reconstruction methods. This local differentiation ensures optimal image quality and quantitative accuracy in each region while maintaining overall system simplicity
2Device complexity
If conventional reconstruction methods are used in the outer subregion, then device complexity is minimized, but quantitative CT image data cannot be reconstructed in the outer subregion
Solution Approach 1:
The reconstruction system is designed to perform multiple functions: it can process spectrally resolved data in the inner subregion using dual-energy reconstruction algorithms, and simultaneously process monospectral data in the outer subregion using conventional reconstruction algorithms. This multi-functionality ensures that quantitative information is preserved across the entire scanning field without requiring complex specialized hardware for each region
3Manufacturing precision
If the scanning field is divided into multiple subregions with different reconstruction methods, then manufacturing precision of quantitative image data is improved, but device complexity increases
Solution Approach 1:
The scanning field is divided into two distinct subregions: an inner circular subregion where spectrally resolved information is available from both radiation source-detector systems, and an outer annular subregion where only monospectral data is available. This segmentation allows different reconstruction methods to be applied to each subregion, enabling quantitative CT image data to be generated across the entire scanning field while accommodating the different fan-beam arc configurations
Solution Approach 2:
Different reconstruction approaches are applied to different spatial regions of the scanning field. The inner subregion utilizes spectrally resolved reconstruction methods that leverage dual-energy information, while the outer subregion employs monospectral reconstruction methods. This local differentiation ensures optimal image quality and quantitative accuracy in each region while maintaining overall system simplicity
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
This approach enables the reconstruction and provision of quantitative CT image data across the entire scanning field, enhancing the accuracy of material coefficient determination and overcoming limitations of conventional methods by utilizing spectrally resolved and monospectral data synergistically.
Implementation Method 1
The first radiation source-detector system has a larger fan-beam arc and thus a greater capture region than the second radiation source-detector system
Data Source
AI summary
A method is for provisioning quantitative CT image data acquired from a scanning field via a dual-source CT device the dual-source CT device including a first radiation source-detector system with a first capture region and a second radiation source-detector system with a second capture region. The method includes dividing the scanning field into a first subregion, representing at least a part of the intersection of the first region and the second capture region, and a second subregion, disjoint from the second region; acquiring first CT scan data from the first subregion and second CT scan data from the second subregion; reconstructing first quantitative CT image data from the first CT scan data and second quantitative CT image data from the second CT scan data; combining the first quantitative CT image data and the second quantitative CT image data to quantitative CT image data; and provisioning the quantitative CT image data.