Speckle contrast analysis using machine learning for visualizing flow
US11514270B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 27, 2020 |
| Grant date | Nov 29, 2022 |
| Priority date | — |
| Expiry date | Dec 31, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments may include a method to estimate motion data based on test image data sets. The method may include receiving a training data set comprising a plurality of training data elements. Each element may include an image data set and a motion data set. The method may include training a machine learning model using the training data set, resulting in identifying one or more parameters of a function in the machine learning model based on correspondences between the image data sets and the motion data sets. The method may further include receiving a test image data set. The test image data set may include intensities of pixels in a deep-tissue image. The method may include using the trained machine learning model and the test image data set to generate output data for the test image data set. The output data may characterize motion represented in the test image data set.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.