Diffusion-weighted magnetic resonance imaging
US12189010B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 9, 2020 |
| Grant date | Jan 7, 2025 |
| Priority date | — |
| Expiry date | Aug 15, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method of performing diffusion-weighted magnetic resonance imaging is provided. The method includes a step of: using a neural network to filter a diffusion-weighted image of an object acquired by a magnetic resonance imaging scanner, the neural network being programmed to produce an output image from the acquired image. The neural network improves the signal to noise ratio of the output image relative to the acquired image. The neural network, when applied to a synthetic knife-edge image to which Rician noise providing a signal-to-noise ratio of 13 or more is added, forms a curve of normalised values of modulation-transfer-function against frequency which has a higher area thereunder than the area under the corresponding curve of normalised values of modulation-transfer-function against frequency for a reference Gaussian smoothing filter.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.