Photon-Counting CT Reconstruction with Projection-Based Parameter Tuning
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Solution Overview
Problem
Reconstruction of images using photon-counting CT technology is time-consuming, leading to decreased throughput in medical examinations.
Innovation Solution
An image processing apparatus and method that adjusts parameters based on acquired projection images to optimize the reconstruction process, allowing for sequential reconstruction of multiple tomographic images with varying parameters, including type, energy, and range, to improve efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multi-reconstruction is performed to generate various types of tomographic images, then image quality and diagnostic capability are improved, but reconstruction time increases
Solution Approach 1:
The system performs preliminary analysis of projection images to identify objects of interest (such as contrast agents, metals, or calcium) before reconstruction. Based on this preliminary analysis, reconstruction parameters are pre-adjusted for different image types, allowing the reconstruction process to proceed more efficiently without compromising image quality.
Solution Approach 2:
The system applies different reconstruction parameters locally to different regions or types of images. By identifying specific objects in the projection images, the system adjusts parameters such as energy levels, field of view, and reconstruction algorithms specifically for those regions, rather than applying uniform parameters to all images, thus reducing overall reconstruction time while maintaining diagnostic quality.
2Productivity
If fixed parameters are used for multi-reconstruction, then processing speed is improved, but image quality for specific conditions deteriorates
Solution Approach 1:
The system dynamically adjusts reconstruction parameters based on the content of projection images. Rather than using fixed parameters, the system automatically modifies parameters such as energy levels, field of view, and reconstruction algorithms according to the detected objects and imaging conditions, thereby maintaining both processing speed and image quality.
Solution Approach 2:
The system uses feedback from preliminary analysis of projection images to adjust reconstruction parameters. By analyzing the projection images first and using that information to guide parameter selection, the system ensures that appropriate parameters are applied for each specific imaging condition, maintaining image quality while avoiding unnecessary processing steps.
3Measurement precision
If comprehensive parameter adjustment is performed for all image types, then diagnostic accuracy is improved, but system complexity increases
Solution Approach 1:
The system performs self-service by automatically analyzing projection images and adjusting reconstruction parameters without requiring manual intervention. The automatic identification of objects of interest and subsequent parameter adjustment reduces the need for complex user interfaces and manual configuration, thereby improving diagnostic accuracy while keeping the system relatively simple to operate.
Solution Approach 2:
The system implements a universal parameter adjustment mechanism that handles multiple image types and diagnostic requirements through a single integrated process. By creating a multi-functional parameter adjustment system that can adapt to various imaging conditions automatically, the system achieves high diagnostic accuracy without requiring separate complex procedures for each image type.
Data Source
AI summary
An image processing apparatus used for CT imaging in which a series of processes is performed including acquisition of a plurality of projection images using a photon-counting type radiation detector and execution of multi-reconstruction for generating tomographic images by reconstructing the plurality of projection images based on a predetermined parameter includes at least one processor, in which the processor is configured to acquire the projection image, and adjust the parameter based on the acquired projection image.