Camera-Aided Ultrasound Scan Setup and Control
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Solution Overview
Problem
Current ultrasound imaging systems require manual setup and adjustment by users, which is time-consuming and inefficient, as they need to enter patient information, select system settings, and perform various procedural tasks during exams.
Innovation Solution
The system uses an optical camera to capture images of the ultrasound exam environment, analyze them in real-time to build a spatial exam model, and automatically adjust settings based on identified user, patient, and probe models, reducing the need for manual input and streamlining the exam process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual setup and adjustment by user is used, then system control flexibility is maintained, but preparation and scanning time increases
Solution Approach 1:
The system automatically performs setup and adjustment functions without requiring manual user input. The camera captures images, the processor analyzes them to identify patients and probes, and the system automatically configures exam settings, thereby making the system serve itself rather than requiring continuous user intervention.
Solution Approach 2:
The patent replaces manual mechanical operations (user physically entering data, adjusting settings) with an automated optical-mechanical system. A camera captures visual information, which is then processed by a computer system to automatically configure the ultrasound exam parameters, substituting human manual operations with an automated vision-based control system.
2Productivity
If automated camera-based setup is implemented, then productivity increases, but device complexity increases
Solution Approach 1:
The patent introduces a camera as an intermediary device between the user and the ultrasound system. Instead of directly interacting with complex system settings, the user simply positions the probe while the camera captures images that the processor analyzes to automatically determine exam parameters, thereby simplifying user interaction while maintaining automated control.
3Extent of automation
If real-time image analysis is performed, then automation extent increases, but use of energy increases
Solution Approach 1:
The system performs real-time image analysis only to the extent necessary for automatic configuration. The processor analyzes key features in camera images (patient identification, probe position) and adjusts settings accordingly, performing sufficient automation to reduce manual input without continuously analyzing all image data at maximum processing intensity.
Data Source
AI summary
Methods and systems are provided for adjusting settings of an ultrasound exam based on monitoring of the exam with an optical camera. One example method includes acquiring images of an ultrasound exam via a camera, analyzing the acquired images in real-time to build a spatial exam model, and adjusting settings of the ultrasound exam in real-time based on the spatial exam model.


