Medical Image Diagnosis Using Multi-Frame Sampling and Statistical Analysis
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Solution Overview
Problem
Current ultrasonic medical image diagnostic methods rely on single still images for diagnosis, leading to inaccurate results, especially when assessing multiple BI-RADS categories, as they fail to consider the variability and complexity of medical images effectively.
Innovation Solution
An apparatus and method that samples multiple frames from a medical imaging device, stores them based on predetermined, variable, or empirical selection standards, and uses a diagnosis component to combine diagnostic results from these frames, classify them into categories, and calculate statistical data for more accurate and objective diagnoses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If only a single still image is selected for diagnosis, then the operation is simple and quick, but the diagnostic accuracy deteriorates
Solution Approach 1:
The patent segments the diagnosis process by separating the reference frame selection from the sample frame collection. The reference frame is selected for diagnosis, while multiple sample frames are collected from the storage according to predetermined standards. This segmentation allows the system to maintain operational simplicity by focusing on one reference frame while automatically gathering multiple samples for accurate diagnosis.
Solution Approach 2:
The patent implements preliminary action by pre-storing multiple sample frames in the storage before the diagnosis process. The frames are sampled and stored according to predetermined selection standards in advance, so when diagnosis is needed, the system can immediately retrieve and use these pre-prepared frames without adding complexity to the diagnostic operation itself.
2Measurement precision
If multiple frames are collected and analyzed, then the diagnostic accuracy is improved, but the device complexity increases
Solution Approach 1:
The patent applies universality by designing the storage to serve multiple functions: it stores sample frames for diagnosis, provides frame sampling according to different standards (predetermined, variable, empirical), and enables frame collection based on various criteria (time interval, probe position, frame number). This multi-functionality reduces the need for separate complex subsystems.
Solution Approach 2:
The system implements self-service by automatically sampling and storing frames according to predetermined standards without requiring manual intervention during diagnosis. The frame collector automatically selects and collects frames based on the reference frame and stored criteria, reducing the complexity of manual frame selection processes.
3Adaptability or versatility
If frames are sampled according to variable selection standards, then the adaptability to different situations is improved, but the control complexity increases
Solution Approach 1:
The patent applies dynamics by implementing variable selection standards that can adapt to different diagnostic situations. The frame sampler can switch between predetermined standards (time interval, frame number) and variable standards (probe position, frame characteristics) based on the specific diagnostic requirements, allowing the system to dynamically adjust its sampling strategy without increasing operational complexity.
Data Source
AI summary
An apparatus for diagnosis of a medical image includes a storage having a predetermined size, the storage being configured to store sample frames sampled from among received frames which are received from a medical imaging device; a frame collector configured to, once a reference frame is determined, collect one or more sample frames stored in the storage; and a diagnosis component configured to provide a diagnosis for the reference frame based on diagnostic results associated with the one or more collected sample frames.