System and methods for estimation of blood flow characteristics using reduced order model and machine learning
US11653833B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 8, 2021 |
| Grant date | May 23, 2023 |
| Priority date | — |
| Expiry date | Nov 22, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16B45/00
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.