Neural network for generating synthetic medical images
US10867417B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Jul 14, 2017 |
| Grant date | Dec 15, 2020 |
| Priority date | — |
| Expiry date | Jul 14, 2037 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02A90/10
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Systems, computer-implemented methods, and computer readable media for generating a synthetic image of an anatomical portion based on an origin image of the anatomical portion acquired by an imaging device using a first imaging modality are disclosed. These systems may be configured to receive the origin image of the anatomical portion acquired by the imaging device using the first imaging modality, receive a convolutional neural network model trained for predicting the synthetic image based on the origin image, and convert the origin image to the synthetic image through the convolutional neural network model. The synthetic image may resemble an imaging of the anatomical portion using a second imaging modality differing from the first imaging modality.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.