Synthetic Medical Image Generation

A system for completing a medical image having at least one obscured region includes an input for receiving a first classification map generated using an acquired optical coherence tomography (OCT) image having at least one obscured region, the acquired OCT image acquired using an imaging system and a pre-processing module coupled to the input and configured to create an obscured region mask. The pre-processing module also generates a second classification map that has the at least one obscured region filled in. The system also includes a generative network coupled to the pre-processing module and configured to generate a synthetic OCT image based on the second classification map and a post-processing module coupled to the generative network. The post-processing module is configured to receive the synthetic OCT image and the acquired OCT image and to generate a completed image based on the synthetic OCT image and the acquired OCT image.

Researchers

Elazer Edelman / Max Olender

Departments: Institute for Medical Engineering and Science
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Biotechnology: Biomedical Devices & Systems / Computer Science: Bioinformatics / Sensing & Imaging: Imaging
Impact Areas: Healthy Living

  • systems and methods for utilizing synthetic medical images generated using a neural network
    United States of America | Published application

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