CT System Projection Image Generation via Helical Scanning
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Solution Overview
Problem
Radiation imaging systems, such as CT and line-scan systems, face limitations in generating high-resolution projection images from volumetric data, which is crucial for security and medical applications, as they often produce images of lower resolution due to differences in detector arrays, affecting the ability to identify potential threats effectively.
Innovation Solution
A computed tomography (CT) system is configured to generate projection images by helically examining an object using a rotating radiation source and detector array, defining a surface about which the projection image is focused, and using data from both vertical and non-vertical rays to create high-resolution images, allowing for improved resolution and automated threat detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a CT system is used to generate projection images from volumetric data, then automated threat detection capability is improved, but image resolution deteriorates compared to line-scan systems
Solution Approach 1:
The patent applies dimensionality change by utilizing data from multiple view angles (adding the angular dimension) and combining it with depth information from the z-axis to reconstruct high-resolution projection images. This allows the system to achieve line-scan quality images while maintaining the automated threat detection capabilities of CT systems through volumetric data analysis.
Solution Approach 2:
The patent changes key parameters including using a helical scanning pattern instead of traditional axial scanning, adjusting the reconstruction algorithm to prioritize high-resolution projection image generation, and modifying the data selection process to choose optimal rays from multiple angles that maximize image quality while maintaining automated detection accuracy.
2Measurement precision
If a line-scan system is used to generate projection images, then image resolution is improved, but automated threat detection capability deteriorates compared to CT systems
Solution Approach 1:
The patent makes the CT system multi-functional by enabling it to perform both high-resolution projection image generation (traditionally a line-scan function) and automated threat detection (traditionally a CT strength). The system can now serve dual purposes: generating display-quality images for security personnel while simultaneously providing volumetric data for automated analysis algorithms.
Solution Approach 2:
The patent segments the data processing into distinct pathways: one pathway processes the selected ray data through reconstruction algorithms to generate high-resolution projection images for human review, while another pathway processes the volumetric data through automated threat detection algorithms. This segmentation allows both functions to operate optimally simultaneously.
3Measurement precision
If data from multiple view-angles is used to generate projection images, then image resolution is improved, but data processing complexity increases
Solution Approach 1:
The patent extracts only the necessary data from the volumetric dataset by selecting specific rays from multiple view angles that correspond to the desired projection plane. Instead of processing all available data, the system identifies and extracts the optimal subset of rays that maximize image resolution while minimizing processing requirements, thereby reducing computational complexity.
Solution Approach 2:
The patent performs preliminary data organization and pre-processing during the helical scanning acquisition phase, structuring the raw data in a way that facilitates efficient extraction and reconstruction. By preparing the data structure in advance with proper indexing and organization, the system reduces the computational burden during the actual image reconstruction process.
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
The CT system achieves higher resolution projection images, enabling more accurate identification of potential threats by utilizing data from multiple view-angles and rays, enhancing the capability for security and medical imaging applications.
Implementation Method 1
The object is exposed to rays of radiation photons (e.g., x-ray photons, gamma ray photons, etc.) and radiation photons traversing the object are detected by a detector array positioned substantially diametrical opposite the radiation source relative to the object. A degree to which the radiation photons are attenuated by the object (e.g., absorbed, reflected, etc.) is measured to determine one or more properties of the object
Data Source
AI summary
Among other things, computed tomography (CT) systems and/or techniques for generating projections images of an object(s) under examination via a CT system are provided. A surface about which the projection image is focused is defined and data yielded from vertical rays of radiation intersecting the surface and data yielded from non-vertical rays intersecting the surface are used to generate the projection image. In some embodiments, the projection image is assembled from one or more projection lines, which are respectively associated with a line-path contacting the surface and extend in a direction parallel to an axis of rotation for a radiation source. A projection line is indicative of a degree of attenuation experienced by rays intersecting a line-path associated with the projection line and emitted while the radiation source was at a particular segment of a radiation source trajectory.