Method and system for predicting blood flow features based on medical images
US10249048B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 26, 2018 |
| Grant date | Apr 2, 2019 |
| Priority date | — |
| Expiry date | Oct 26, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/20
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
The present disclosure is directed to a method and system for automatically predicting a blood flow feature based on a medical image. The method may include acquiring, by a processor, image patches and a vessel related feature of a vessel tree. Then, the blood flow feature of the vessel tree may be calculated, by the processor, using a learning network based on both the image patches and the vessel related feature of the vessel tree. The learning network includes a multi-model neural network and a tree structure recurrent neural network connected in series. The method and system of present disclosure can perform a quick and accurate prediction for the blood flow feature, such as FFR, of the vessel tree of a target object (such as certain site of human body or animal body) based on both the medical images and vessel related features of the vessel tree of the target object. The predicted FFR may assist the user in pathological diagnosis or other treatment of the target object.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.