3D Synthetic Bone Image Generation for Privacy-Safe AI Training
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Solution Overview
Problem
Access to large medical datasets for training neural networks is limited due to the expense and labor-intensity of data collection, and privacy concerns hinder data sharing, particularly in the medical field, making it challenging to implement cutting-edge image analysis methods effectively.
Innovation Solution
A method and device for generating three-dimensional synthetic images from three-dimensional input images using a diffusion and reverse diffusion process with a neural network, specifically designed to preserve anatomical details of bone portions like the pelvis, enabling the enrichment of training datasets for neural networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If medical data is collected and shared to train neural networks, then the quality and quantity of training datasets improve, but privacy concerns and data security risks worsen
Solution Approach 1:
The patent generates synthetic medical images that replicate the statistical properties and anatomical features of real medical images without containing actual patient data. These synthetic copies serve as training datasets, providing the quantity and quality needed for neural network training while eliminating privacy risks associated with real patient data.
Solution Approach 2:
The patent introduces a synthetic data generation system as an intermediary between real medical data and neural network training. This intermediary transforms real medical images into synthetic versions through a controlled process, allowing data to be used for training purposes while maintaining patient confidentiality and data security.
2Measurement precision
If real medical images are used directly for training, then anatomical accuracy is preserved, but data availability and accessibility worsen due to privacy restrictions
Solution Approach 1:
The patent creates synthetic copies of real medical images that preserve anatomical structures, tissue densities, and pathological features. These copies maintain the measurement precision and anatomical accuracy needed for diagnostic training while being freely shareable and adaptable for various research purposes without privacy constraints.
3Adaptability or versatility
If synthetic images are generated from real images, then data availability improves, but image quality and anatomical fidelity may worsen
Solution Approach 1:
The patent employs advanced synthetic data generation techniques that carefully replicate anatomical structures, tissue characteristics, and pathological features from real medical images. The synthesis process preserves critical anatomical details and measurement precision while generating diverse, accessible training datasets that can be freely shared and adapted.
Solution Approach 2:
The patent controls various parameters in the synthetic image generation process, including noise levels, anatomical feature preservation thresholds, and quality metrics. By optimizing these parameters, the system maintains high anatomical fidelity in synthetic images while ensuring data accessibility and versatility for training purposes.
Data Source
AI summary
A method for generating a 3D synthetic image from a 3D input image, includes receiving a 3D input image representing a part of a body of a subject, which includes a bone portion, converting the 3D input image into a first vector presenting dimensions lower than dimensions of the 3D input image, determining, using a diffusion module, a modified vector by applying a diffusion processing to the first vector, the modified vector corresponding to a noisy representation of the first vector, determining, using a reverse diffusion module, a second vector by applying a reverse diffusion processing to the modified vector, the second vector corresponding to a denoised representation of the modified vector, and converting the second vector into a 3D synthetic image that presents the same dimensions as the 3D input image, the 3D synthetic image representing the part of the body of the subject that includes the bone portion.