Region-Based Rank Filter Projections for Single-Scan CT Contrast
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional CT imaging systems struggle with differentiating target objects from background materials due to similar x-ray attenuation contrasts, requiring multiple scans and increased resource usage, and rely on anecdotal methods for contrast agent flow management, leading to inefficient workflows and high computational loads.
Innovation Solution
Implementing photon-counting computed tomography (PCCT) systems with energy discriminating detectors and rank filtering techniques to create separate projections for different anatomical regions, merging them into a single composite image with optimized contrast levels for each region, reducing the need for multiple scans and enhancing both low and high contrast structures simultaneously.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional CT imaging systems use standard reconstruction methods, then the imaging process is simple, but the ability to differentiate target objects from background materials is poor due to similar x-ray attenuation contrasts
Solution Approach 1:
The patent divides the image into multiple anatomical regions (e.g., lung, liver, kidney) and applies different rank filtering projections to each region. This segmentation allows each region to be optimized independently for its specific contrast requirements, improving overall contrast differentiation without requiring a complete redesign of the imaging system.
Solution Approach 2:
The patent applies different contrast optimization techniques to different anatomical regions based on their specific characteristics. Each region receives a customized rank filtering projection tailored to its local contrast needs, rather than applying a uniform processing approach across the entire image. This local quality approach enhances contrast differentiation in each specific region.
2Loss of information
If multiple CT scans are performed to capture different contrast levels, then comprehensive anatomical information is obtained, but resource usage and imaging time increase
Solution Approach 1:
The patent merges multiple rank filtering projections (first, second, and third projections with different contrast optimizations) into a single composite image. This combining approach captures comprehensive anatomical information that would otherwise require multiple separate scans, while delivering the result in a single imaging session, thus reducing imaging time and resource usage.
Solution Approach 2:
The patent creates a single composite image that serves multiple functions: it displays high-contrast structures, low-contrast structures, and intermediate-contrast structures simultaneously. This multi-functional image replaces what would traditionally require multiple specialized scans, providing comprehensive anatomical information in one unified output.
3Loss of information
If multiple CT scans are performed to capture different contrast levels, then comprehensive anatomical information is obtained, but computational load and processing resources increase
Solution Approach 1:
The patent performs preliminary actions by generating multiple rank filtering projections during the single CT scan acquisition process itself, rather than requiring post-processing of multiple separate scans. The system prepares and combines these optimized projections in real-time, reducing the computational burden that would otherwise be required to process and merge multiple completed scans.
4Productivity
If a single CT scan is performed, then imaging time and resource usage are reduced, but the ability to visualize both low and high contrast structures simultaneously is compromised
Solution Approach 1:
The patent changes the contrast parameters dynamically by applying different rank filtering projections to different anatomical regions within the same image. By adjusting contrast parameters locally for each region based on its specific characteristics, the system maintains high visualization quality for both low-contrast and high-contrast structures simultaneously, achieving this in a single scan rather than requiring multiple scans with different parameter settings.
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 minimizes CT system usage, optimizes contrast visualization, and simplifies radiologist workflows by combining multiple anatomical views into a single image, reducing processing resources and time spent on image analysis.
Implementation Method 1
photon-counting computed tomography (PCCT) systems with energy discriminating detectors
Implementation Method 2
energy discriminating detectors configured to detect x-ray radiation at a first plurality of different energy levels
Data Source
AI summary
A computer-implemented method includes receiving volumetric image data generated during an imaging examination of a subject with a medical imaging system and creating, based on rank filtering, a different local projection for each of a plurality of identified regions of tissue of interest of the volumetric image data. A first projection for a region of tissue of interest visually emphasizes a first contrast level, a second projection for a second region of tissue of interest visually emphasizes second contrast level, and the first contrast level and the second contrast level are different contrast levels. The computer-implemented method further includes merging the different local projections, including the first projection and the second projection, with the volumetric image data into a single composite image and displaying the single composite image. Both lower contrast and higher contrast structures in the volumetric image data are visually emphasized in the displayed single composite image.