Application of machine learning to iterative and multimodality image reconstruction
US11170544B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 30, 2019 |
| Grant date | Nov 9, 2021 |
| Priority date | — |
| Expiry date | Aug 30, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2211/424
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for machine learning based ultrasound image reconstruction can include receiving, at a reconstruction engine, imaging data; generating an initial estimate for a transmission image via a neural network trained (machine or self-learning) on paired transmission ultrasound and reflection ultrasound data; and performing image reconstruction using the initial estimate to generate transmission ultrasound images. The image reconstruction can generate higher quality transmission ultrasound when carried out by using the initial estimate as the starting point for iterative image reconstruction and using transmission data obtained via conventional transmission ultrasound frequencies (e.g. from 0.8 MHz to 1.5 MHz).
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.