Ultrasonic Image Selection Using ECG and Blood Flow Phases
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Solution Overview
Problem
Existing ultrasonic imaging systems require manual user intervention to select a specific time phase for still image capture, which can lead to time lag, subjectivity, and reduced examination efficiency due to tracing back through multiple images.
Innovation Solution
An ultrasonic image processing apparatus that automatically selects a first ultrasonic image of a specific time phase based on preset selection standards, including blood flow information and electrocardiogram data, to improve accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual freeze operation is performed by user, then still image can be preserved, but time lag occurs between desired timing and actual capture
Solution Approach 1:
The system performs preliminary actions by automatically capturing and storing multiple still images at predetermined time intervals before the freeze operation is triggered. When the user performs the freeze operation, the system has already prepared multiple candidate images in advance, eliminating the time lag between desired timing and actual capture.
Solution Approach 2:
The system performs self-service by automatically selecting and preserving the appropriate still image based on predetermined selection criteria (such as maximum blood flow area or specific ECG phase) without requiring manual intervention. The processing circuitry autonomously determines which captured image best represents the desired time phase, eliminating user subjectivity and timing errors.
2Measurement precision
If user manually traces back through multiple still images, then specific time phase can be found, but examination efficiency declines
Solution Approach 1:
The system performs self-service by automatically selecting and preserving the appropriate still image based on predetermined selection criteria (such as maximum blood flow area or specific ECG phase) without requiring manual intervention. The processing circuitry autonomously determines which captured image best represents the desired time phase, eliminating user subjectivity and timing errors.
Solution Approach 2:
The system uses feedback from blood flow information and ECG signals to automatically determine the optimal time phase for image capture. The processing circuitry continuously monitors these physiological parameters and uses them as feedback to select images at the most diagnostically relevant moments, eliminating the need for manual tracing through multiple frames.
3Ease of operation
If manual selection of still image is performed, then user can choose specific time phase, but user subjectivity causes variability in selection
Solution Approach 1:
The system performs self-service by automatically selecting and preserving the appropriate still image based on predetermined selection criteria (such as maximum blood flow area or specific ECG phase) without requiring manual intervention. The processing circuitry autonomously determines which captured image best represents the desired time phase, eliminating user subjectivity and timing errors.
Solution Approach 2:
The system changes the selection criterion from subjective user judgment to objective physiological parameters (blood flow area, ECG phase). By basing image selection on measurable physiological data rather than user opinion, the system ensures consistent and reproducible results across different operators and examinations.
Data Source
AI summary
In one embodiment, an ultrasonic image processing apparatus includes processing circuitry. The processing circuitry is configured to: acquire a plurality of ultrasonic images in a prescribed period; and select a first ultrasonic image of a specific time phase from the plurality of ultrasonic images in the prescribed period based on a selection standard which is preset.