Automated Medical Image Identification for Protocol Measurements
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Solution Overview
Problem
Selecting the appropriate medical image for measurements in a protocol is time-consuming and challenging due to the need to switch between images to find the correct view and heartbeat, which is inefficient for professionals.
Innovation Solution
A system and method for automated medical image identification that receives medical image records and protocols, identifies the appropriate image based on associated views and cardiac cycle points, and displays them for measurements, reducing the need for manual searching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual image selection is used to find the correct view and heartbeat, then professionals can perform measurements, but the process is time-consuming and inefficient
Solution Approach 1:
The system automatically performs preliminary actions by identifying and presenting the correct medical images for each measurement in the protocol before the professional begins measurements. This includes automatically selecting appropriate views and cardiac cycle points, eliminating the need for manual searching and preparation.
2Measurement precision
If professionals manually search through multiple images to find the correct view and heartbeat, then accurate measurements can be made, but the complexity of the process increases
Solution Approach 1:
The system performs self-service by automatically identifying and presenting the correct medical images for each measurement without requiring professional intervention for image selection. The system autonomously determines appropriate views and cardiac cycle points based on the measurement protocol requirements.
3Adaptability or versatility
If professionals switch between multiple images to find the best image for each measurement, then complete protocols can be executed, but the ease of operation decreases
Solution Approach 1:
The system performs preliminary identification of appropriate images for each measurement in the protocol, presenting them in the correct sequence. This preliminary action eliminates the need for professionals to manually switch between images during protocol execution, maintaining protocol adaptability while greatly improving ease of operation.
Data Source
AI summary
Method for identifying medical image records includes receiving a plurality of medical image records; receiving a protocol, the protocol including a plurality of measurements having an order; identifying a first medical image record of the plurality of medical image records, wherein a first measurement of the plurality of measurements can be performed on the first medical image record; displaying the first medical image record; receiving the first measurement; identifying a second medical image record of the plurality of medical image records, wherein a second measurement of the plurality of measurements can be performed on the second medical image record; displaying the second medical image record; and receiving the second measurement.


