3D Heart Valve Imaging Rotation Automation
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Solution Overview
Problem
Users face difficulties in intuitively controlling the rotation of 3D volume data in diagnosis imaging apparatuses, leading to inaccurate display of planes of interest and reduced diagnostic accuracy due to delayed user input.
Innovation Solution
The apparatus includes an image processing system that automatically detects key points on the heart wall and rotates 3D volume data to align a virtual line with a predefined plane, allowing for efficient acquisition of a 3D standard view of heart valves, which can be displayed accurately and quickly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual rotation control of 3D volume data is used, then user input flexibility is maintained, but user convenience deteriorates and processing time increases
Solution Approach 1:
The system performs automatic rotation of 3D volume data based on detected key points and anatomical structures, eliminating the need for manual user input. The apparatus autonomously identifies heart wall points, determines rotation axes, and executes rotation to display standard views, thereby improving ease of operation while reducing processing time.
Solution Approach 2:
The system pre-determines rotation parameters by detecting key points on the heart wall and calculating rotation axes before displaying the final image. This preliminary processing enables the system to automatically prepare the optimal viewing angle without requiring real-time user interaction during the rotation process.
2Measurement precision
If manual rotation control of 3D volume data is used, then user input flexibility is maintained, but diagnostic accuracy deteriorates due to inaccurate plane display
Solution Approach 1:
The system replaces manual mechanical rotation control with an automated computational system that detects key points on the heart wall and automatically calculates and executes the precise rotation needed to display standard anatomical views. This substitution of manual operation with automated image processing enhances both diagnostic accuracy and user convenience.
Solution Approach 2:
The system uses detected key points and anatomical landmarks as feedback to automatically determine the correct rotation angle and axis. By continuously referencing the detected anatomical structures, the system ensures that the rotated view accurately represents the standard plane of interest, thereby improving diagnostic accuracy without requiring user intuition.
3Productivity
If automatic rotation based on key point detection is implemented, then processing efficiency is improved, but device complexity increases
Solution Approach 1:
The automatic rotation system is divided into distinct functional modules: key point detection on the heart wall, rotation axis determination, rotation execution, and standard view generation. This segmentation allows each module to perform its specific function independently, improving processing efficiency while making the overall complex system more manageable and maintainable.
Data Source
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AI summary
A diagnosis imaging apparatus and an operation method thereof are provided. A diagnosis imaging apparatus includes: an image processing apparatus for detecting a first point and a second point on a heart wall of a valve of interest in a 3D volume data of a heart of a subject, rotating the 3D volume data to make a virtual line connecting the first point and the second point be parallel with a datum plane, and acquiring a 3D standard view of the valve of interest based on the rotated 3D volume data; and a display apparatus for displaying the 3D standard view.