Diagnostic Image Display with Collision Frequency Visualization
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Solution Overview
Problem
Medical professionals may inadvertently overlook or inadequately examine certain regions during diagnostic procedures, leading to potential misdiagnosis due to the limitations of existing image processing and display methods.
Innovation Solution
A method and system for displaying diagnostic images that divide the examination target into regions, detect collisions between a signal from a probe and these regions, calculate collision frequencies, and display sectional views with information on collision frequency, allowing for improved visualization and detection of examined areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a medical professional manually examines regions during diagnostic procedures, then the examination can be performed with direct observation, but regions may be inadvertently overlooked or inadequately examined leading to misdiagnosis
Solution Approach 1:
The system provides visual feedback by displaying a diagnostic image with overlaid examination region information and collision frequency data. This feedback mechanism allows medical professionals to immediately see which regions have been adequately examined and which have been overlooked, enabling real-time correction of examination coverage without relying on memory or manual tracking.
Solution Approach 2:
The patent introduces an image processing device as an intermediary between the probe and the medical professional. This device automatically tracks probe movements, calculates collision frequencies with examination regions, and presents this information through visual displays. The intermediary handles the complex task of monitoring and analyzing examination coverage, freeing the medical professional to focus on diagnostic interpretation.
2Measurement precision
If the examination target is divided into multiple regions for detailed analysis, then coverage of all areas can be improved, but the complexity of tracking and monitoring each region increases
Solution Approach 1:
The patent segments the examination target into multiple discrete examination regions, each assigned a unique identifier. This segmentation allows the system to independently track and monitor coverage of each region. The diagnostic image display then visually represents these segmented regions with their corresponding collision frequency information, enabling precise monitoring of examination coverage across the entire target area.
Solution Approach 2:
The patent merges multiple pieces of information into a single integrated diagnostic image display. This includes the anatomical image, overlaid examination region boundaries, collision frequency indicators for each region, and visual cues for adequately versus inadequately examined areas. By combining these elements into one unified display, the system reduces the cognitive load on the medical professional while maintaining comprehensive region tracking.
3Reliability
If collision frequency calculation is performed for each examination region, then adequate examination coverage can be verified, but processing time and computational load increase
Solution Approach 1:
The system performs preliminary action by continuously and automatically calculating collision frequencies for each examination region in real-time during the diagnostic procedure. This ongoing automatic calculation eliminates the need for manual tracking and post-procedure analysis, verifying examination adequacy as the procedure progresses without adding time to the overall diagnostic process.
Solution Approach 2:
The image processing device performs self-service by automatically tracking probe movements, determining which examination regions are collided with, calculating collision frequencies, and generating the diagnostic image display with coverage information. This self-service capability handles the computational tasks autonomously without requiring additional manual intervention or processing time from the medical professional.
Data Source
AI summary
A method of displaying a diagnostic image is provided. The method includes setting an examination target of a subject, dividing the examination target into a plurality of examination regions, detecting whether a signal region indicated by a signal transmitted from a probe collides with each of the plurality of examination regions, calculating a collision frequency of each of the plurality of examination regions, based on a result of the detecting, and displaying a diagnostic image that indicates a sectional view of the subject and includes information indicating a degree of the collision frequency of each of the plurality of examination regions included in the sectional view, based on the calculation result.