Medical Report System Visual Confirmation for Image Selection Accuracy
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Solution Overview
Problem
Current medical report systems lack accuracy in selecting and designating medical images containing an area of concern, leading to potential mistakes in diagnosis due to the absence of confirmation processes for chosen images and designated areas.
Innovation Solution
A medical report system comprising an image display device, an image choosing device, and an image display control device that processes data to produce a confirmation image in a coordinate system, allowing for the visual verification of correct image selection and area designation, with options for displaying three-dimensional or density-added images to distinguish the area of concern.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If individual image selection and area designation is performed manually, then flexibility in choosing images is maintained, but error risk increases due to lack of confirmation
Solution Approach 1:
The system generates a confirmation image that visually feedbacks the selected images and designated areas to the user. This feedback mechanism allows the user to verify whether the selected images and marked areas are correct before finalizing the medical report, thereby reducing errors without significantly increasing operational complexity
Solution Approach 2:
The system creates a copy of the selected medical images and processes them to generate a confirmation image. This copy serves as a verification tool that replicates the selection and designation process, allowing users to check accuracy without requiring additional manual selection operations
2Measurement precision
If confirmation image display is added to the system, then diagnostic accuracy is improved, but system complexity increases
Solution Approach 1:
The confirmation image is segmented to display different types of information separately: selected images are shown in one region, designated areas are highlighted in another region, and the relationship between them is visually established. This segmentation makes the verification process clearer and more precise without overcomplicating the overall system architecture
Solution Approach 2:
The system adds a visual dimension to the verification process by generating a confirmation image that combines spatial information from multiple selected images. This dimensional transformation allows users to verify accuracy more effectively by viewing the relationships between images and designated areas in a unified visual representation
Data Source
AI summary
On a report making screen, medical images taken from a patient are displayed in a viewer. When an area of concern, such as an abnormal shadow, is designated in any of the displayed medical images, the medical images containing the area of concern are chosen. By drag-and-dropping one of the chosen images to an assigned position in a comment editing zone of the report making screen, a three-dimensional image reconstituted of the chosen images is displayed as a confirmation image, wherein the designated area of concern is displayed distinguishably from other portion, enabling checking whether the choice of the images or the designation of the area of concern is correct or not. When the choice and designation is fixed, group data registering the chosen images as a group and position data relating to positions of the area of concern in the chosen images are memorized in linkage with the assigned position.