Devices, systems, and methods for deep-learning kernel-based scatter estimation and correction
US12008689B2 · kind B2 · utility
0Cited by
25References
20Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Dec 3, 2021 |
| Grant date | Jun 11, 2024 |
| Priority date | — |
| Expiry date | Sep 19, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2211/452
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Devices, systems, and methods obtain first radiographic-image data reconstructed based on a set of projection data acquired in a radiographic scan; apply one or more trained machine-learning models to the set of projection data and the first radiographic-image data to obtain a set of parameters for a scatter kernel; input the set of parameters and the set of projection data into the scatter kernel to obtain scatter-distribution data; and perform scatter correction on the set of projection data using the scatter-distribution data, to obtain a set of corrected projection data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.