Systems and methods for deblurring medical images using deep neural network
US11257191B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 16, 2019 |
| Grant date | Feb 22, 2022 |
| Priority date | — |
| Expiry date | Dec 5, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30004
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are provided for deblurring medical images using deep neural networks. In one embodiment, a method for deblurring a medical image comprises receiving a blurred medical image and one or more acquisition parameters corresponding to acquisition of the blurred medical image, incorporating the one or more acquisition parameters into a trained deep neural network, and mapping, by the trained deep neural network, the blurred medical image to a deblurred medical image. The deep neural network may thereby receive at least partial information regarding the type, extent, and/or spatial distribution of blurring in a blurred medical image, enabling the trained deep neural network to selectively deblur the received blurred medical image.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.