Adaptive Imaging Parameter Control for Medical Device Data Transfer
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Solution Overview
Problem
Current medical imaging technologies face challenges in efficiently transferring image datasets from medical devices to remote locations with minimal delay, often requiring compression that results in loss of image information, increased radiation dose, and higher costs due to the need for capturing and transferring excessive image data during medical interventions and positioning processes.
Innovation Solution
A computer-implemented method and system for determining an imaging parameter value that identifies only the relevant image information needed for transfer, allowing for adaptive control of medical technology devices to capture and transfer datasets with reduced quality during positioning, thereby minimizing radiation dose and costs while maintaining medically useful image quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If image compression is applied to enable timely transfer of image datasets to remote devices, then transfer time delay is reduced, but image information quality is lost
Solution Approach 1:
The patent segments the image dataset into two categories: relevant image information items that are transferred to the remote device, and non-relevant image information items that are discarded. This segmentation is based on the transfer parameter value that defines the scope of relevant information. By dividing the complete image dataset into these two segments, the system achieves timely transfer of essential information without the burden of transmitting all captured data, thus resolving the contradiction between transfer speed and information completeness.
2Measurement precision
If more image information items are captured during medical intervention, then image quality and diagnostic accuracy are improved, but radiation dose to examination object increases
Solution Approach 1:
The patent applies local quality by adjusting the imaging parameters dynamically based on the current operational phase. During positioning, lower quality images with reduced radiation dose are captured. During the actual medical intervention, higher quality images with appropriate radiation dose are captured. The imaging parameter value is locally optimized for each phase, ensuring that radiation dose is not excessive while maintaining necessary image quality for diagnostic purposes.
3Manufacturing precision
If image dataset quality is maintained at high level during positioning, then positioning accuracy is improved, but radiation dose and operational costs increase
Solution Approach 1:
The patent implements dynamics by making the imaging parameter value adaptable to the current operational phase. The system dynamically adjusts the imaging parameters based on whether the device is in positioning mode or intervention mode. During positioning, reduced-quality imaging with lower radiation dose is used. During intervention, full-quality imaging is activated. This dynamic adjustment resolves the contradiction by optimizing radiation dose while maintaining sufficient positioning accuracy through adaptive parameter control.
4Measurement precision
If complete image datasets are transferred to remote devices, then diagnostic accuracy is improved, but data transfer time and costs increase
Solution Approach 1:
The patent extracts only the relevant image information items from the complete image dataset based on the transfer parameter value. This extraction process identifies and separates the essential diagnostic information that needs to be transferred to the remote device, while leaving out non-essential data. By taking out only the necessary information, the system maintains diagnostic accuracy at the remote location while significantly reducing the data transfer time and associated costs.
Data Source
AI summary
At least one example embodiment relates to a computer-implemented method for determining an imaging parameter value for the control of a medical technology device during a capture of a first image dataset. In this context, the first image dataset is provided to be transferred from the medical technology device to a remotely arranged device. The method comprises at least one of receiving or determining a transfer parameter value. In this context, the transfer parameter value comprises an information item concerning which image information is relevant for the first image dataset which is to be transferred. The method further comprises determining the imaging parameter value based on the transfer parameter value. The method further comprises providing the imaging parameter value.