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

VSEngineering 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

Engineering Contradiction:
Improvemeasurement efficiencyVSAvoidtime to select images
Core Design Contradiction:
ProductivityVSLoss of time

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.

Inventive Principle:
Principle #10Preliminary action

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

Engineering Contradiction:
Improvemeasurement accuracyVSAvoidprocess complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

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.

Inventive Principle:
Principle #25Self-service

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

Engineering Contradiction:
Improveprotocol completion capabilityVSAvoidease of image selection
Core Design Contradiction:
Adaptability or versatilityVSEase of operation

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.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250342939A1Systems and Methods for Automated Medical Image Identification for Protocols
Publication Date: 2025.11.06 FUJIFILM HEALTHCARE AMERICAS CORP
  • US20250342939A1 patent drawing
  • US20250342939A1 patent drawing
  • US20250342939A1 patent drawing

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.