System and methods for medical image quality assessment using deep neural networks
US12020428B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 11, 2021 |
| Grant date | Jun 25, 2024 |
| Priority date | — |
| Expiry date | Oct 14, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30168
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The current disclosure provides methods and systems for rapidly and consistently determining medical image quality metrics following acquisition of a diagnostic medical image. In one embodiment, the current disclosure teaches a method for determining an image quality metric by, acquiring a medical image of an anatomical region, mapping the medical image to a positional attribute of an anatomical feature using a trained deep neural network, determining an image quality metric based on the positional attribute of the anatomical feature, determining if the image quality metric satisfies an image quality criterion, and displaying the medical image, the image quality metric, and a status of the image quality criterion via a display device. In this way, a diagnostic scanning procedure may be expedited by providing technicians with real-time insight into quantitative image quality metrics.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.