Medical Imaging Parameter Control for Biological Signal Changes
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Solution Overview
Problem
Changing multiple imaging parameters in response to significant changes in biological information during synchronized imaging is time-consuming and labor-intensive, with existing technologies failing to provide adequate guidance for parameter adjustments.
Innovation Solution
An imaging control device and method that automatically determines the need for adjusting imaging parameters based on changes in biological information, providing parameter adjustment suggestions and, in some cases, automatically implementing these adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple imaging parameters are manually changed in response to biological information changes, then imaging quality can be maintained, but operator input time and labor increase
Solution Approach 1:
The imaging control device automatically adjusts imaging parameters based on detected biological information changes without requiring manual operator intervention. The system monitors biological signals (such as heart rate or respiration) and autonomously modifies imaging parameters to maintain optimal imaging quality, thereby eliminating operator input time while preserving reliability.
Solution Approach 2:
The system implements a feedback mechanism where biological information is continuously monitored, and imaging parameters are automatically adjusted in response to detected changes. This closed-loop control ensures that imaging quality is maintained through real-time parameter optimization based on actual physiological conditions.
2Reliability
If multiple imaging parameters are manually adjusted, then imaging quality can be maintained, but operational complexity increases
Solution Approach 1:
The imaging control device performs self-adjustment of multiple imaging parameters based on biological information changes, eliminating the need for operators to manually intervene in complex parameter adjustments. This automation reduces operational complexity while maintaining imaging quality through systematic parameter optimization.
Solution Approach 2:
The system pre-establishes relationships between biological information and imaging parameters, allowing automatic parameter adjustment to be prepared and executed in advance. This preliminary configuration of parameter adjustment logic simplifies operational complexity by removing the need for real-time manual decision-making.
3Loss of time
If imaging parameters are automatically adjusted, then operator input time is reduced, but system complexity increases
Solution Approach 1:
The system uses feedback from biological information detection to automatically adjust imaging parameters. By monitoring physiological signals and responding with appropriate parameter changes, the system reduces operator input time while managing complexity through structured feedback-based control logic.
Solution Approach 2:
The imaging control device automatically modifies imaging parameters based on detected biological information changes. This parameter adjustment mechanism reduces operator input time by implementing systematic, rule-based changes rather than manual intervention, thereby managing system complexity through standardized parameter transformation logic.
Data Source
AI summary
An imaging control device, a medical image capturing device, an imaging parameter setting method, and a program that implement adjustment of an imaging parameter suitable for a change in biological information are provided. An imaging control device acquires biological information of a subject, in a case where a second set value based on the biological information of the subject is changed from a first set value set in advance for a first imaging parameter for which the biological information of the subject is set, determines whether or not a second imaging parameter needs to be adjusted, and in a case where a determination that the second imaging parameter needs to be adjusted is made, displays parameter adjustment suggestion information related to adjustment of the second imaging parameter.