Methods and system for selective removal of streak artifacts and noise from images using deep neural networks
US11341616B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 23, 2020 |
| Grant date | May 24, 2022 |
| Priority date | — |
| Expiry date | Jun 12, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30004
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are provided for independently removing streak artifacts and noise from medical images, using trained deep neural networks. In one embodiment, streak artifacts and noise may be selectively and independently removed from a medical image by receiving the medical image comprising streak artifacts and noise, mapping the medical image to a streak residual and a noise residual using the trained deep neural network, subtracting the streak residual from the medical image to a first extent, and subtracting the noise residual from the medical image to a second extent, to produce a de-noised medical image, and displaying the de-noised medical image via a display device.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.