CT Image Contrast via Material Decomposition Overlays
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Solution Overview
Problem
Conventional CT imaging systems struggle to provide optimal contrast between different anatomical regions, leading to difficulties in differentiating between target and background materials, and requiring multiple images to effectively read multiple anatomies.
Innovation Solution
The method involves performing a CT scan on a patient injected with a contrast agent, reconstructing monochromatic virtual images and basis material decomposition images, and generating contrast-optimized images with colorized overlays to maximize contrast between anatomical features, allowing for customized visualization of anatomical regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional CT imaging is used to scan multiple anatomical regions, then the scan can be performed, but the contrast between different anatomical features is insufficient and multiple images are required
Solution Approach 1:
The patent segments the image processing by creating separate basis material decomposition images for different materials (e.g., iodine, bone, soft tissue) from the projection data. Each material map is then selectively overlaid on the monochromatic virtual image, allowing specific anatomical regions to be enhanced with appropriate contrast without requiring multiple separate scans or images.
Solution Approach 2:
The patent merges multiple types of information into a single composite image by superimposing colorized material decomposition overlays on the monochromatic virtual image. This combination provides both the structural context of the MVI and the material-specific contrast enhancement from the MD images, eliminating the need for multiple separate images.
2Adaptability or versatility
If multiple images are generated to read multiple anatomies, then all anatomical regions can be visualized, but the CT system usage increases and workflow becomes more complex
Solution Approach 1:
The patent creates a universal visualization approach where a single monochromatic virtual image serves as the base for displaying multiple anatomical regions, and material decomposition overlays provide multi-functional material-specific information. This multi-functional approach allows one image to replace what would traditionally require multiple specialized images for different anatomies.
Solution Approach 2:
The patent adds a new dimension to the image by superimposing colorized material decomposition overlays on the grayscale monochromatic virtual image. This dimensional enhancement provides material-specific information (iodine, bone, soft tissue) as an additional layer of data without requiring separate images, allowing radiologists to view multiple anatomies with enhanced contrast in a single composite image.
3Productivity
If standard CT reconstruction is used, then the image can be generated quickly, but the contrast optimization for different anatomical regions is lost
Solution Approach 1:
The patent performs preliminary action by reconstructing a monochromatic virtual image at a specific energy level (e.g., 40 keV or 70 keV) that provides a neutral base for subsequent overlay integration. This preliminary MVI reconstruction is performed quickly using standard algorithms, and then material decomposition overlays are added in a separate processing step, allowing the speed advantage of standard reconstruction to be maintained while achieving contrast optimization.
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 enhances the contrast between diseased and non-diseased tissues, reduces the need for multiple images, minimizes the usage of the CT system, and simplifies the radiologist's workflow, while also enabling efficient comparison of image data over time.
Implementation Method 1
technologies such as computed tosmography (CT) use various physical principles, such as the differential transmission of x-rays through the target volume
Implementation Method 2
reconstructing a basis material decomposition (MD) image based on the acquired projection data, the MD image including anatomical regions having a 1:1 correspondence to anatomical regions of the contrast-optimized image
Data Source
AI summary
Systems and methods are provided for increasing a quality of images generated by a computed tomography (CT) system. In one example, an initial assessment of contrast timing and flow through different anatomical regions of a patient is performed, and based on the initial assessment, different visualization schemes are applied to the different anatomical regions of a reconstructed image, where each visualization is optimized for assessing a different anatomical region. In particular, color maps (e.g., heat maps and/or probability maps) and/or color overlays based on material decomposition information may be superimposed on contrast-optimized images, where the color maps accentuate a contrast between diseased tissues and healthy tissues. An automated report may be generated including a first visualization based on a first scan, and a second visualization based on a second, earlier scan, to show a progression of a disease of the patient.