Contrast Medium Flow Comparison Dataset for Vascular Treatment Analysis
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Solution Overview
Problem
Existing differential imaging methods, such as Digital Subtraction Angiography (DSA), struggle to provide a quantitative analysis of changes in the temporal dynamic of contrast medium flows during or after vascular treatments, due to differences in contrast medium administration parameters.
Innovation Solution
A computer-implemented method for providing a comparison dataset by spatially and temporally registering first and second time-resolved datasets, which map contrast medium flows before and after a treatment, and identifying differences in contrast medium flow parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual comparison of differential images from preoperative and intraoperative DSA is performed, then qualitative assessment of contrast medium flow changes is possible, but quantitative analysis of temporal dynamic changes is prevented or falsified due to differences in contrast medium administration parameters
Solution Approach 1:
The patent applies preliminary action by performing temporal registration of contrast medium flows before comparison. The system identifies corresponding vessel sections in preoperative and intraoperative datasets, tracks contrast medium flooding progression over time, and aligns the temporal dynamics of contrast medium administration. This preliminary temporal alignment enables accurate quantitative comparison by compensating for differences in injection timing and rate before the actual flow comparison is performed.
Solution Approach 2:
The patent applies parameter changes by transforming the raw differential images into temporally registered flow dynamics representations. The system extracts temporal parameters such as contrast medium arrival time, flooding speed, and flow rate from the images, then adjusts these parameters to account for differences in contrast medium administration. This transformation enables quantitative analysis by converting visual image data into comparable temporal flow parameters.
2Loss of information
If multiple fill images are recorded in chronological sequence to map temporal dynamic of contrast medium flow, then time-resolved information is obtained, but differences in contrast medium administration parameters between preoperative and intraoperative DSA lead to incorrect comparison
Solution Approach 1:
The patent applies feedback by using the tracked contrast medium flooding progression as a reference signal for temporal registration. The system monitors the actual flow dynamics in both preoperative and intraoperative datasets, identifies corresponding flow phases (such as contrast medium arrival and flooding stages), and uses this feedback to align the temporal sequences. This feedback mechanism ensures that comparisons are made between equivalent flow phases despite differences in administration parameters.
Solution Approach 2:
The patent applies preliminary action by performing vessel section identification and flow tracking before the comparison step. The system pre-processes both datasets to identify corresponding vessel sections, track contrast medium progression through these sections over time, and establish temporal reference points. This preliminary preparation of flow dynamics data enables reliable quantitative comparison by ensuring that the temporal sequences are properly aligned before analysis.
Data Source
AI summary
A method for providing a comparison dataset is disclosed. The method includes providing a time-resolved first dataset that maps a first contrast medium flow in a region of interest of an examination object in a first period of time; providing a time-resolved second dataset that maps a second contrast medium flow in the region of interest in a second period of time after the first period of time; spatially registering the first and second datasets; identifying a mapping of at least one vessel section of the region of interest in the first and second datasets; temporally registering the first and second datasets; identifying a difference between the first and second contrast medium flows by a comparison of the registered first and second datasets; and providing the comparison dataset based on the registered first and second datasets, wherein the comparison dataset has at least one parameter characterizing the difference.