Angiography Roadmap Image Data Processor for Contrast Agent Adjustment
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Solution Overview
Problem
Angiographic roadmapping procedures often result in roadmaps with excessive contrast agent, leading to unwanted vasculature representation, which hinders the visualization of the region of interest and limits further interventions during procedures like embolizations.
Innovation Solution
A system adjusts the scope of contrast injection and generates cumulative images by selecting and processing temporally sequential images to enhance visualization of the vasculature of interest, isolating it from unwanted information through a roadmap mask adjustment process, allowing for improved visualization of invasive instruments during angiography.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If contrast agent injection is performed to visualize vasculature during angiographic roadmapping, then vessel structure visualization is improved, but excessive contrast agent causes unwanted vasculature representation that hinders region of interest visualization
Solution Approach 1:
The patent segments the cumulative image data temporally by selecting a subset of contiguous images from the temporal sequence. This segmentation allows the system to focus on a specific time window where the contrast agent is present in the desired vasculature but has not yet reached unwanted areas, thereby resolving the contradiction between visualizing vessels and maintaining region of interest visibility.
Solution Approach 2:
The system performs partial action by accumulating luminance values from only a subset of the temporal image sequence rather than all available images. This partial accumulation achieves sufficient contrast enhancement for the region of interest while avoiding the excessive contrast buildup that would occur if all images were accumulated, thus preventing unwanted vasculature from becoming visible.
2Measurement precision
If cumulative images are generated from all temporally sequential images to enhance contrast, then vasculature visualization is improved, but unwanted vasculature is also included in the roadmap
Solution Approach 1:
The system performs preliminary action by pre-selecting the optimal subset of contiguous images from the temporal sequence before generating the cumulative roadmap. This preliminary selection ensures that only images containing the desired vasculature with appropriate contrast agent concentration are accumulated, preventing unwanted vasculature from being included in the final roadmap while maintaining precise visualization of the target vessels.
Data Source
AI summary
A system provides a roadmap image displaying a vessel structure using an imaging system to acquire data representing multiple temporally sequential individual images of vessels of a region of interest of patient anatomy in the presence of a contrast agent. An image data processor generates multiple sequential cumulative images corresponding to the individual images and an individual current cumulative image corresponds to a current image of the individual images. The current cumulative image comprises cumulative pixel luminance values and an individual cumulative pixel luminance value is generated from luminance values of pixels, spatially corresponding to the individual cumulative pixel and present in images comprising a subset of the individual images. The subset comprises contiguous images of the temporally sequential individual images acquired preceding the current image and including the current image. An output processor provides the multiple sequential cumulative images to a destination.