Cardiac CT Image Sequence Parameter Automation
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Solution Overview
Problem
Current cardiac computed tomography (CT) units require manual and repetitive input of image parameters to convert 3D image sequences into desired viewing modes, making the process complex, error-prone, and computationally intensive.
Innovation Solution
A method that allows for a single determination of image parameters to produce an image sequence, enabling automatic reorientation of 3D recordings from primary CT data sets, reducing the need for manual input and optimizing arithmetic capability by calculating and representing 3D images in any desired orientation directly from the primary data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual and repetitive input of image parameters is used to convert 3D image sequences into desired viewing modes, then the conversion process can be performed, but the process becomes complex, error-prone, and computationally intensive
Solution Approach 1:
The system performs preliminary determination of image parameters from a single reference 3D image before processing the entire image sequence. By establishing the viewing mode parameters (orientation, slice thickness, etc.) from one reference image, the system automatically applies these parameters to all subsequent images in the sequence, eliminating the need for repetitive manual input and simplifying the overall operation process
Solution Approach 2:
The system enables self-service by automatically determining and applying image parameters without requiring continuous manual intervention. Once the operator provides initial parameters from a reference image, the system autonomously processes the entire image sequence, reducing operator workload and minimizing human error while maintaining diagnostic quality
2Productivity
If manual and repetitive input of image parameters is used to convert 3D image sequences into desired viewing modes, then the conversion process can be performed, but high arithmetic capability is required
Solution Approach 1:
The system performs preliminary determination of image parameters from a single reference 3D image before processing the entire image sequence. By establishing the viewing mode parameters (orientation, slice thickness, etc.) from one reference image, the system automatically applies these parameters to all subsequent images in the sequence, eliminating the need for repetitive manual input and simplifying the overall operation process
Solution Approach 2:
The system enables self-service by automatically determining and applying image parameters without requiring continuous manual intervention. Once the operator provides initial parameters from a reference image, the system autonomously processes the entire image sequence, reducing operator workload and minimizing human error while maintaining diagnostic quality
3Manufacturing precision
If individual 3D recordings are produced separately for each desired view, then the desired viewing mode is achieved, but the process is complicated and time-consuming
Solution Approach 1:
The system merges the parameter determination step into a single operation performed on one reference image, rather than requiring separate parameter inputs for each image in the sequence. By combining all parameter determinations into one preliminary step, the system maintains precise control over image parameters while dramatically reducing the total processing time required to generate the complete image sequence
4Reliability
If manual input of image parameters is repeated for each phase, then the desired recording parameters are applied, but operator workload increases and errors may occur
Solution Approach 1:
The system enables self-service by automatically determining and applying image parameters without requiring continuous manual intervention. Once the operator provides initial parameters from a reference image, the system autonomously processes the entire image sequence, reducing operator workload and minimizing human error while maintaining diagnostic quality
Solution Approach 2:
The system uses the reference 3D image as a feedback basis to automatically determine optimal viewing parameters. By analyzing the reference image and deriving parameters that provide the best diagnostic view, the system ensures consistent and accurate parameter application across the entire image sequence without requiring repeated manual verification
Data Source
AI summary
A method and a device are disclosed for processing available time/phase-dependent primary data sets of a computer tomography of a displaced object, preferably a beating heart, in order to produce an image sequence 3D-recording set records for representing the displacement of an object. The method includes the following steps: calculating and representing of a 3D reference display of any particular orientation in relation to any particular displacement phase of an available present primary data sequence of a CT-scan, determining the desired calculation parameters of the image sequence which is to be calculated, single transfer of the calculation parameter to the calculation process and automatic creation of the entire image sequence with the predetermined calculation parameters.