Dark-field virtual colonoscopy polyp detection
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Solution Overview
Problem
Conventional virtual colonoscopies face challenges in distinguishing small colon polyps from residual stool due to similar X-ray absorption properties and difficulty in delineating polyps from intestinal folds, leading to potential false positives and missed detections.
Innovation Solution
Employing a CT scanner configured for dark-field imaging with dark-field contrast insufflation of the colon lumen and intravenous contrast to generate dark-field-contrasted and attenuation-contrasted projection data, which are reconstructed into images to enhance polyp detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional CT imaging with X-ray absorption contrast is used, then the imaging process is simple and fast, but the contrast between polyps, residual stool, and colon tissue is poor making it difficult to distinguish them
Solution Approach 1:
The patent changes the imaging parameter from conventional X-ray absorption contrast to dark-field scattering contrast. This parameter change enables differentiation between polyps, residual stool, and colon tissue based on their different scattering properties, thereby improving contrast resolution without requiring fundamentally new imaging hardware beyond standard CT scanner modifications
Solution Approach 2:
The patent introduces an intermediary substance (contrast agent) that enhances the dark-field scattering contrast between different tissues. This contrast agent acts as a mediator that amplifies the scattering differences between polyps, stool, and colon wall, making them more distinguishable in the imaging process
2Measurement precision
If dark-field contrast imaging is used, then the visibility of polyps is improved, but the device complexity and imaging time increase
Solution Approach 1:
The patent performs preliminary actions by insufflating the colon with dark-field contrast agents before imaging, and by pre-processing the acquired data to separate scattering and absorption components. These preliminary steps prepare the system for more efficient imaging and reduce the time needed during the actual scanning and analysis phases
Solution Approach 2:
The patent segments the imaging process into distinct components: acquiring both scattering and absorption data, separating these components through processing, and reconstructing images from each component. This segmentation allows for optimized processing of each component and enables parallel processing approaches that reduce overall imaging time
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
Improves the visibility of polyps by providing better contrast between colon tissue and residual stool, reducing false positives and enhancing the ability to detect small polyps, thereby improving the accuracy of virtual colonoscopy screenings.
Implementation Method 1
scanning a dark-field contrast insufflated colon lumen with an X-ray scanner configured for dark-field-contrast
Implementation Method 2
generates dark-field-contrasted projection data and attenuation projection data
Data Source
AI summary
A method of a virtual X-ray colonoscopy includes scanning (204) a dark-field contrast (144) insufflated colon lumen (140) with an X-ray scanner (110) configured for dark-field-contrast, which generates dark-field-contrasted projection data and attenuation projection data. The dark-field-contrasted projection data and the attenuation projection data are reconstructed (206) into one or more dark-field-contrasted images (148).