CT Initialization Time Point Determination via Bolus-Tracking
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Solution Overview
Problem
Current imaging methods, particularly in CT systems, require manual intervention to determine the initialization time point for imaging a region of interest, which can lead to inefficiencies and suboptimal imaging timing due to the need for operator experience and precision, potentially extending contrast medium dwell time or resulting in image quality deterioration.
Innovation Solution
A method for automatically determining the initialization time point for imaging by selecting a slice or plane for bolus-tracking images, acquiring multiple images to generate time-density curves, and identifying the point at which a predetermined threshold value is exceeded, allowing for precise and timely initiation of imaging without direct operator intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual determination of initialization time point is used, then operator experience can guide imaging timing, but scan duration increases and image quality may deteriorate
Solution Approach 1:
The system automatically determines the initialization time point by self-evaluating bolus-tracking scan data without requiring external operator intervention. The control device autonomously processes attenuation values, generates time-density curves, and identifies when the contrast medium reaches the region of interest, eliminating manual timing delays while maintaining precision.
Solution Approach 2:
The manual mechanical process of operator-based timing determination is replaced with an automated computational system. The control device uses algorithmic processing of bolus-tracking data to substitute human judgment, achieving faster and more consistent initialization time point determination without manual intervention.
2Reliability
If manual determination of initialization time point is used, then operator judgment can assess contrast medium presence, but image quality may deteriorate due to timing inaccuracies
Solution Approach 1:
The control device autonomously monitors attenuation values from bolus-tracking scans and automatically determines when the contrast medium has reached the region of interest. This self-service approach eliminates the need for operator judgment while ensuring consistent, accurate timing that maintains image quality without requiring manual assessment.
Solution Approach 2:
The system continuously monitors attenuation values during the bolus-tracking scan and uses this feedback to dynamically determine the initialization time point. When the attenuation value exceeds a predetermined threshold, indicating contrast medium arrival, the system automatically triggers the imaging sequence, ensuring optimal timing for image quality without operator intervention.
3Productivity
If automated determination is implemented, then scan duration is reduced, but system complexity increases
Solution Approach 1:
The control device performs multiple functions: it manages bolus-tracking scans, processes attenuation values, generates time-density curves, determines initialization time points, and triggers imaging sequences. By consolidating these functions into a single multi-functional control system, the patent achieves automation without proportionally increasing overall system complexity.
Solution Approach 2:
The system performs preliminary bolus-tracking scans before the main imaging sequence to automatically determine the initialization time point. This preliminary action allows the system to prepare and identify optimal timing in advance, reducing scan duration and improving productivity while the complexity is confined to the pre-processing phase.
4Duration of action of moving object
If contrast medium dwell time is extended, then imaging can be performed, but patient stress increases
Solution Approach 1:
The system performs preliminary bolus-tracking scans to determine the exact arrival time of the contrast medium before initiating the main imaging sequence. This preliminary action ensures that imaging starts at the optimal moment when the contrast medium is present in the region of interest, minimizing the total dwell time required and reducing patient stress from prolonged contrast medium exposure.
Solution Approach 2:
The control device autonomously monitors contrast medium arrival and automatically triggers imaging without requiring extended waiting periods or repeated procedures. This self-service approach ensures efficient use of the contrast medium, minimizing dwell time and patient stress while maintaining imaging quality.
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 significantly reduces scan duration in CT systems, making it more efficient and suitable for emergency cases, while maintaining or improving image quality by ensuring the contrast medium is present at the optimal time, thus minimizing patient stress and the need for repeated procedures.
Implementation Method 1
Each of the detection units generates a detection signal for X-rays incident on the detection units, said detection signal being analyzed with regard to intensity and spectral distribution of the X-rays
Implementation Method 2
If the injected contrast medium now flows through the observed artery, the attenuation values are significantly increased
Data Source
AI summary
A method is described for determination of an initialization time point of imaging of a region of interest of an object to be examined. A slice of the object is selected for bolus-tracking images in which the flow of a fluid flowing toward the region of interest is observable. A plurality of bolus-tracking images of the slice is taken. Time-density curves are determined based upon intensity values assigned to the individual image points acquired in the plurality of bolus-tracking images for the selected slice. Individual image points are divided into groups according to similarity of time-density curves assigned to the individual image points. Finally, the time at which an intensity value assigned to one of the groups exceeds a threshold value is determined. Also described are a method for carrying out the imaging of a region of interest; an initialization time point determination device; and a computed tomography system.