Dynamic Medical Image Analysis System for Reducing Consultation Time
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Solution Overview
Problem
In medical imaging, particularly in moving image radiography, doctors face challenges in efficiently selecting and analyzing dynamic image data, leading to increased consultation times due to the need to review numerous frame images and perform multiple analyses.
Innovation Solution
An image display control system that acquires static and dynamic image data, analyzes it, and creates analysis result data, allowing for the selection of relevant data based on specific purposes, such as kinematic comparison or structure observation, to streamline the consultation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a dynamic image includes a large number of frame images and multiple types of image analyses are performed, then visibility of the radiographing target part is increased and motion is followed in detail, but consultation time increases due to the need to select analysis results, search for frame images, and reproduce dynamic images
Solution Approach 1:
The system performs image analyses and creates analysis result data before the consultation process. Multiple types of analyses (e.g., motion analysis, visibility analysis) are executed in advance on all frame images, so that when the doctor needs to consult, pre-processed analysis results are already available for immediate selection and review, eliminating the need to perform analyses during consultation time.
Solution Approach 2:
The system divides the large set of frame images and analysis results into organized groups based on analysis types and characteristics. By segmenting the data into manageable categories with clear indexing, doctors can quickly navigate to specific analysis results without reviewing all frame images sequentially, reducing search time while maintaining access to detailed motion and visibility information.
2Reliability
If doctors review numerous frame images and perform multiple analyses during consultation, then comprehensive examination is achieved, but consultation efficiency decreases
Solution Approach 1:
All necessary image analyses are completed before consultation, ensuring comprehensive examination coverage while separating the time-consuming analysis process from the consultation process. This allows doctors to review pre-analyzed results without performing analyses during the consultation, maintaining both comprehensiveness and efficiency.
Solution Approach 2:
The system creates analysis result data that serves as a simplified representation or copy of the comprehensive frame image data. These analysis results capture the essential information from numerous frame images in a condensed format, allowing doctors to perform comprehensive examinations by reviewing the analysis copies rather than all original frame images, thereby improving consultation efficiency.
3Measurement precision
If multiple types of image analyses are performed on one dynamic image, then detailed motion tracking and visibility enhancement are achieved, but the complexity of selecting and reviewing analysis results increases
Solution Approach 1:
The system segments analysis results by type (e.g., motion analysis, visibility analysis, frame extraction) and organizes them with clear identifiers. This segmentation allows doctors to easily distinguish between different analysis types and select only those relevant to their consultation needs, reducing the perceived complexity despite multiple analyses being performed.
Solution Approach 2:
The system creates a universal interface that can display and manage multiple types of analysis results through a consistent methodology. Regardless of the specific analysis type performed, the results are presented through a unified selection mechanism, making the system easy to use despite performing diverse analyses for detailed motion tracking and visibility enhancement.
Data Source
AI summary
An image display control system includes a hardware processor that acquires data of a static image of a subject, and data of a dynamic image of the subject including a plurality of frame images, analyzes the dynamic image that is acquired, and creates analysis result data based on an analysis result, and selects, on a basis of a purpose of checking of data, at least one of the data among the data of the static image that is acquired, a part of the data of the dynamic image that is acquired, and the analysis result data that is created.