Rotatable Endocavitary Ultrasound Probe for Self-Scan Imaging
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Solution Overview
Problem
Existing ultrasonic endocavitary imaging systems are not designed for personal or non-clinical use, requiring trained professionals for operation and interpretation, and lack integration with machine learning for automated image analysis.
Innovation Solution
An ultrasonic endocavitary imaging system with a rotatable probe, integrated piezo crystal array, and radio frequency transceiver, coupled with a machine learning server for automated image processing and analysis, enabling self-use and real-time feedback on fertility status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If ultrasonic endocavitary imaging systems are designed for clinical use with professional operation, then image quality and diagnostic accuracy are improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The system enables self-service operation where the end user can independently perform the ultrasound scan and receive automated interpretation results without requiring trained medical professionals to operate the device or interpret the images
Solution Approach 2:
The patent replaces the mechanical/professional interpretation process with an automated machine learning system that uses algorithms to analyze ultrasound images and provide diagnostic results, substituting human expert analysis with computational processing
2Productivity
If automated machine learning analysis is integrated, then productivity and ease of operation are improved, but device complexity and reliability requirements worsen
Solution Approach 1:
The patent introduces a machine learning server as an intermediary component that receives ultrasound images from the portable device, performs automated analysis, and returns interpretation results, acting as a mediator between the imaging device and the user
Solution Approach 2:
The system is segmented into distinct functional components: the portable ultrasound device for image acquisition, the machine learning server for analysis, and the user interface for result delivery, allowing each component to be optimized independently
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables non-clinical users to obtain and interpret ultrasonic images of body cavities, automating the analysis of fertility parameters, reducing the need for clinical intervention and providing real-time, accurate results.
Implementation Method 1
The image capture assembly includes a piezo crystal array, the array coupled to the distal end of the shaft
Implementation Method 2
The transceiver is configured for transmitting the image data from the piezo crystal array to a computing device of a user
Data Source
AI summary
A compact and discrete portable ultrasonic endocavitary imaging system for remote self-use is provided. The imaging system includes a probe, a shaft having an image capture assembly rotatably mounted within the probe, and a folding handle. Manual hand-operated rotation of the handle causes rotation of the shaft and image capture assembly, providing swept image data from the interior of a body cavity.