Medical Image Control Device Using Sensor-Based Selection
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Solution Overview
Problem
Existing medical image management systems face challenges in rapidly deciding and saving appropriate composite images during medical procedures due to intensive computational processing requirements and the risk of unclear images, leading to unreliable image analysis and management.
Innovation Solution
A control device and method that select medical images based on three-dimensional status information of imaging devices, such as attitude and position, to determine which images to display and save, bypassing the need for image analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image analysis is used to decide composition patterns for composite images, then appropriate medical images can be selected, but intensive computational processing makes it difficult to rapidly conduct the selection process
Solution Approach 1:
The patent replaces the mechanical system of image analysis (computational processing) with a sensor-based detection system. Instead of analyzing image content through intensive computation, the system uses sensors to detect physical quantities (position, attitude, operation state) of the medical instrument, which directly determines which images should be saved. This substitution eliminates the computational bottleneck while maintaining reliable selection accuracy.
Solution Approach 2:
The patent introduces sensor detection results as an intermediary between the medical instrument state and the image selection decision. Rather than directly analyzing images to determine selection, the system uses sensor data (position, attitude, operation state) as a mediator to indirectly but reliably determine which images are significant, thereby avoiding intensive image processing while maintaining selection accuracy.
2Reliability
If image analysis is used to decide composition patterns, then appropriate medical images can be selected, but there is a risk that appropriately deciding a composition pattern becomes impossible when medical images are not clear
Solution Approach 1:
The patent replaces image-based analysis with sensor-based detection. Instead of relying on clear visual information in medical images to make selection decisions, the system uses sensors to detect the physical state of the medical instrument (position, attitude, operation state). These sensor measurements are not affected by image clarity, thereby eliminating the risk of failed selection due to unclear images while maintaining reliable decision-making.
Solution Approach 2:
The patent introduces sensor detection as an intermediary that bypasses the need for clear image analysis. The sensors detect physical quantities directly from the medical instrument, providing reliable selection criteria independent of image quality. This intermediary detection method resolves the difficulty of making reliable decisions when images are not clear.
3Ease of operation
If all medical images are saved, then no editing work is needed after surgery, but unwanted images that do not clearly depict the lesion will be saved, creating complicated post-surgery editing work
Solution Approach 1:
The patent enables the system to automatically identify and save only significant medical images based on sensor detection results, without requiring manual review or editing after surgery. The system serves itself by using real-time sensor data (position, attitude, operation state) to autonomously determine which images are worth saving, thereby eliminating both the need for post-surgery editing and the storage of unwanted images.
Solution Approach 2:
The patent implements a feedback mechanism where sensor detection results continuously inform the image selection process. The detection unit monitors the medical instrument's state, and this feedback directly controls which images are saved. This real-time feedback loop ensures that only images taken during significant operational moments are stored, optimizing both storage efficiency and ease of use without requiring post-processing.
4Adaptability or versatility
If multiple medical imaging devices are used, then comprehensive medical images can be obtained, but deciding which images to save becomes more complex
Solution Approach 1:
The patent introduces sensor detection results as a common intermediary that统一管理 (unifies management) of multiple imaging devices. Instead of independently analyzing images from each device, the system uses a unified sensor-based approach to detect the medical instrument's state, which serves as a common criterion for selecting images from all devices. This intermediary simplifies the management complexity while maintaining comprehensive imaging capabilities.
Solution Approach 2:
The patent creates a universal image selection mechanism based on sensor detection that works across multiple different imaging devices. The detection unit monitors the medical instrument's state regardless of which imaging device is being used, and this universal detection approach determines image selection for all devices. This multi-functional approach simplifies management complexity while preserving the versatility of using multiple imaging devices.
Data Source
AI summary
There is provided a control device that decides at least one medical image as a medical image to display or save from among medical images taken by a plurality of imaging devices, on a basis of imaging device status information that includes information about a position or an attitude for at least one of the plurality of imaging devices.