Fetal Visualization Circuitry Using Generative AI and Ultrasound Data
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Solution Overview
Problem
Existing ultrasound imaging techniques for visualizing a fetus often provide two-dimensional images, which require skilled interpretation and may not provide a clear understanding of the fetus's position, size, and development.
Innovation Solution
A circuitry and method utilizing ultrasound data to establish a data model of a fetus, which is then used by generative artificial intelligence to generate a detailed, real-time visualization of the fetus, including 3D reconstructions and animations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional ultrasound imaging techniques are used, then the imaging process is simple and fast, but the visualization quality and ease of interpretation are poor
Solution Approach 1:
A data model serves as an intermediary between the raw ultrasound data and the final visualization. The data model structures and organizes the ultrasound information in a standardized format that generative AI can process, enabling high-quality 3D visualizations without directly complicating the ultrasound imaging process itself
Solution Approach 2:
The patent replaces traditional mechanical 3D reconstruction methods with generative artificial intelligence. The generative AI model learns from the data model to generate realistic 3D visualizations of the fetus, substituting complex mechanical reconstruction algorithms with a learned system that achieves better visualization quality
2Ease of operation
If 2D ultrasound images are provided, then the imaging process is simple, but the understanding of fetus position and size is difficult
Solution Approach 1:
The patent transforms 2D ultrasound images into 3D visualizations by introducing an additional spatial dimension. The data model captures three-dimensional spatial relationships, and the generative AI generates realistic 3D representations that preserve fetal anatomy information while making it easier to interpret position, size, and orientation
3Adaptability or versatility
If skilled interpretation is required, then the imaging system can be simple, but the usability for unskilled users is poor
Solution Approach 1:
The system performs automatic 3D visualization generation from ultrasound data without requiring user expertise. The data model automatically structures the ultrasound information, and the generative AI autonomously generates interpretable 3D visualizations, enabling unskilled users to obtain meaningful fetal images without manual interpretation skills
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
This approach enables precise visualization of the fetus's anatomy and movements, improving understanding and monitoring of fetal development, even for unskilled users, and allows for real-time adjustments and animations.
Implementation Method 1
emitting an ultrasound signal into a belly of a mother while the fetus is in a uterus of the mother, and detecting a reflection of the ultrasound signal
Data Source
AI summary
The disclosure pertains to a circuity for generating a visualization of a fetus, wherein the circuitry is configured to: obtain ultrasound data representing a fetus in a uterus of its mother; establish, based on the ultrasound data, a data model of the fetus; and generate, based on the data model, a visualization of the fetus using a generative artificial intelligence.